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Do you want to become a Professional DevOps Engineer, a cloud Solutions Architect, a Cloud Engineer or a modern Developer or IT Professional, a versatile Product Manager, a hip Project Manager? Therefore Cloud skills and certifications can be just the thing you need to make the move into cloud or to level up and advance your career.

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In this blog, we are going to feed you with AWS Azure and GCP Cloud Certification testimonials and Frequently Asked Questions and Answers Dumps.

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  • Passed MS-100 Today
    by /u/zE0Rz (Microsoft Azure Certifications) on September 25, 2022 at 4:10 pm

    after more then a decade without any microsoft certification (did MCITP: DBA, MCITP:EA in 2008) I gave it a shot and started this week with doing certificates again (due to the new designation MCPP thing). Passed SC-300 on thursday. MS-100 today. submitted by /u/zE0Rz [link] [comments]

  • Azure Solutions Architect Expert
    by /u/TrueAlbanian101 (Microsoft Azure Certifications) on September 25, 2022 at 1:03 pm

    Sorry if this is a dumb question, wanted to be sure before going for the next cert! I currently have the AZ-104 certification and planning on taking the AZ-305 certification. Looks like when you complete these two you receive an Azure Architect Solutions Expert certification. Do you need to renew AZ-104 and AZ-305 each year when you’re an expert or does it get combined to a single test? Thank you! submitted by /u/TrueAlbanian101 [link] [comments]

  • SC-900 CERTIFICATE DESIGN CHANGED?
    by /u/Puzzleheaded_Lime234 (Microsoft Azure Certifications) on September 25, 2022 at 4:20 am

    Does the Certifcate design of SC-900 has changed? ( sep 2022) I passed my exam today, when i will recieve the credly badge? submitted by /u/Puzzleheaded_Lime234 [link] [comments]

  • Ignite 2022. Any free cert this time?
    by /u/ahmedranaa (Microsoft Azure Certifications) on September 24, 2022 at 4:37 pm

    Microsoft Ignite is in 12-14 Oct 2022 Microsoft Ignite - Home Does any one know the list of free cert in it? if any submitted by /u/ahmedranaa [link] [comments]

  • DP-203 Attempt
    by /u/teja1394 (Microsoft Azure Certifications) on September 24, 2022 at 3:50 pm

    Exam scheduled: 24Sep, 2022 18:00PM IST No. of questions: 43 Time: 100 min Score: 648 - failed Out of 43 questions, there was one scenario given and based on that 5 questions were asked(These questions do not have option to review at last) In remaining 38, there are 5 questions based on scenario and few services were given and asked they're appropriate. Should choose b/w yes or no (These also don't have option to review) My questions are mostly from Synapse and related services, got questions from DataFactory, triggers, stream analytics, syntax questions from mySQL, spark. I felt exam was moderate level and more questions are based on scenarios. Resources I used: Udemy Course from Eshant Garg(Covered most topics in this course, but I feel not sufficient enough to clear exam) Whizlabs practice tests --> decent enough and covered the topics Reason I feel for not clearing: Did not go much through MS Learning paths. Previously I cleared AZ-900,DP-900 in first attempt where I completed learning paths. Will look at my detailed report of exam and will give another shot after preparation! submitted by /u/teja1394 [link] [comments]

  • Query Regarding Exam Voucher
    by /u/ahmedtm1 (Google Cloud Platform Certification) on September 24, 2022 at 9:55 am

    A few months back, I got an exam voucher and I registered for the exam. The voucher will expire on 30th Sep. But I have already used it. Now I feel like I'm not prepared well for the exam. So I want to reschedule the exam for the next month. My question is, will they charge me if I reschedule the exam for next month as the expiry date of the voucher is 30th Sep. submitted by /u/ahmedtm1 [link] [comments]

  • Best trainer for GCP - Architect?
    by /u/uuufffff (Google Cloud Platform Certification) on September 23, 2022 at 4:07 pm

    Hi, I'm aiming at Google PCA cert. For context, I'm a certified architect in both Azure and AWS. Who's the best trainer for Google Cloud? Looking for someone like John Savill for Azure. Thanks in advance. submitted by /u/uuufffff [link] [comments]

  • Recertification Az-200
    by /u/ahmedtm1 (Microsoft Azure Certifications) on September 23, 2022 at 10:28 am

    Recently, I received an email from Microsoft that my Az-200 certification will expire in 6 months, and to keep my certificate active for 1 more year I have to pass an assessment. It's my first time giving the recertification assessment. Can anyone please tell me what it is like? How much time and questions do we have? Also, the complexity of the questions and the passing criteria? More, when should I take the assessment? submitted by /u/ahmedtm1 [link] [comments]

  • Managing multiple employees Microsoft Learn efforts
    by /u/sinclairzx10 (Microsoft Azure Certifications) on September 22, 2022 at 8:47 pm

    Hey all, We're a direct CSP looking for a way to manage our team's efforts in Microsoft Learn. Is there a centralized portal where we can see the overall progress of our team? ​ From what I can gather I can only see our aligned certifications in the new solution designation competency page there is no overarching portal to view everyone's prorgess. Does anyone have any recommendations on how to navigate this challenge or point me in the right direction ? submitted by /u/sinclairzx10 [link] [comments]

  • Passed the AZ-140 today!!
    by /u/TrinsicX (Microsoft Azure Certifications) on September 22, 2022 at 8:18 pm

    I passed the (updated?) AZ-140, AVD specialty exam today with an 844. First MS certification in the bag! Edited to add: This video series from Azure Academy was a TON of help. https://youtube.com/playlist?list=PL-V4YVm6AmwW1DBM25pwWYd1Lxs84ILZT submitted by /u/TrinsicX [link] [comments]

  • New Twitch show! All Things AWS, a variety-style show for the cloud-curious
    by Deborah Strickland (AWS Training and Certification Blog) on September 22, 2022 at 5:02 pm

    We’re rolling out a brand-new Twitch series called All Things AWS! This new series helps you learn cloud concepts while having a little bit of goofy fun. All Things AWS features a mix of everything that makes learning great, with informative segments, Q&As with AWS leaders, skits, spoofs, and games. Join us on Thursday, September 29, at 4:00 p.m. PT.

  • How LG CNS is creating future AI leaders with immersive machine learning training
    by (Training & Certifications) on September 22, 2022 at 4:00 pm

    As a Korean technology leader specializing in digital transformation (DX), LG CNS partners with customers to help them achieve digital growth across fields including cloud, artificial intelligence (AI), big data, smart factory, and smart logistics. Towards the end of 2020, LG CNS was investigating how to drive digital transformation and growth within their own ranks to demonstrate and extend their core competitive advantage as a consulting service and system integration service provider. By enhancing their internal teams’ AI capabilities, they would ensure they could provide even more innovation and technical expertise for their customers’ own transformation journeys to maintain their position in the market, and continue to provide creative insights and thought leadership both within Korea and overseas.After investigating several external training programs, LG CNS decided to partner with Google Cloud Learning Services to guarantee they received the right level of training and support to further elevate their world-class team. They recognized and respected Google’s global leadership in AI and machine learning (ML), and believed Google was the only partner that could elevate their company to a global level, in line with their already prominent position within the Korean market.  LG CNS’s employees participated in 5 weeks of machine learning and 1 week of machine learning operations (MLOps) training through the Advanced Solutions Lab (ASL) via ASL Virtual. This immersive learning program enabled participants to collaborate and learn directly from Google Cloud engineers and ML experts, without having to attend a Google campus. LG CNS’ participants for this transformative training program were selected based on a strict criteria. They were all considered high performers within LG CNS, and held 1-2 years practical experience in the AI/ML field. With continuous competency development and care, many will progress to become AI development leaders within the company, ensuring LG CNS can remain at the forefront of their field and collaborate with other businesses to fuel their own DX solutions.“I hope that all trainees can grow through the Google Cloud ASL program, which has the world's best AI technology, and I look forward to taking responsibility for leading AI in each division.” — SVP of LG CNSGoogle Cloud Learning services’ early involvement in the organizational stages of this training process, and agile response to LG CNS’s requirements, ensured LG CNS could add the extra week of MLOps training to their program as soon as they began the initial ASL ML course. This productive, collaborative experience demonstrated the strength and flexibility of Google Cloud Learning services, and their capacity to tailor virtual learning content to meet the needs of the specific client and their business objectives.Following the success of this first round in 2021, LG CNS has done ASL ML/MLOps training for another cohort in 2022 to cultivate even more AI and ML expert groups. This empowers LG CNS to build even more capacity within their workforce to continue advancing and developing the most breakthrough technologies to support their customers’ own digital transformation and innovation.To learn more about how you can engage business innovation in your own organization through cloud education services, visit Google Cloud Training & Certification and get started on your own learning journey.Related ArticleDrive digital transformation, get Cloud Digital Leader certifiedDiscover Google Cloud Digital Leader no-cost training and certification discount, and attend free webinar on September 15, 2022.Read Article

  • On-Prem Sys Admin Moving towards Cloud Administration - Need help on Material
    by /u/pratyathedon (Microsoft Azure Certifications) on September 22, 2022 at 6:09 am

    Hi All, ​ 8 Years of On-Prem System Admin for Oil/Gas and Pharma Companies with a Background in DCS Systems. Have Application Development experience too for the industry-specific requirements(VB, Python, Node, SQL/Mongo,). I want to put more effort into Azure Certifications. Cleared my AZ-900 like 4 weeks ago. And now wish to Move ahead with AZ-104 and AZ-204 subsequently. I will be using the below materials for AZ-104 Cert Study(Theoretical) : 1) John Savill's Technical Training 2) freeCodeCamp.org AZ-104 / AZ-204 Cramps 3) MS Learn Labs : 1) https://microsoftlearning.github.io/AZ-104-MicrosoftAzureAdministrator/ 2) Labs from Whizlabs Test Prep: 1) TD / MeasureUP I need help in one more area, Can someone recommend a few more links/websites where I can get lab exercises, I learn faster / better when I actually do hands-on. Also, I hope these links are enough for Clearing AZ-104. submitted by /u/pratyathedon [link] [comments]

  • AZ-700 — what jobs can you be considered for?
    by /u/Yzzaf_3 (Microsoft Azure Certifications) on September 22, 2022 at 12:37 am

    Currently in a Azure networking role and studying for AZ-700. Curious as to what jobs I can get with AZ-700 and also just overall experience working in a Azure network environment submitted by /u/Yzzaf_3 [link] [comments]

  • Fun ways to learn besides docs/acg/youtube
    by /u/Neverchoosered (Microsoft Azure Certifications) on September 21, 2022 at 10:57 pm

    Hello all. Just seeing if anyone has any cool resources to help study and practice for the az104. I passed the az900 with just the docs but it seemed pretty practical. I have acg and have watched some YouTube videos to learn, along with Microsoft docs. Is there anything else out there to make it more fun? Build something cool and interesting to learn along the way and delete it? I messed around with the AWS cloud practitioner game and it was pretty cool. I haven't been able to find anything online for azure like it or just enjoyable. Sure videos and reads get it done but I get bored too quick and switch to something else. Thanks in advance! submitted by /u/Neverchoosered [link] [comments]

  • What Azure certification(s) are best If I want to manage applications within an azure environment?
    by /u/TW3RKUL33Z (Microsoft Azure Certifications) on September 21, 2022 at 6:29 pm

    I recently got the AZ900 and plan to test on the AZ104 soon. I am a sysadmin of a company and manage an Azure environment and application management, deployment and automation for the applications we use. Specifically, we are going to be taking on app identity management, access, management, automation, deployment as well as security. I have looked into the Azure development paths and documentation and it seems like AZ500 will be another good next step. Any other suggestions? submitted by /u/TW3RKUL33Z [link] [comments]

  • Google launches dedicated cloud training program for Ukrainians
    by (Training & Certifications) on September 21, 2022 at 4:00 pm

    Editor's note: This blog was originally published in Ukrainian on September 14. 2022.Google launches cloud technology training program to support Ukrainian businesses and IT professionals Around the world, organizations across multiple industries are in the midst of digitally transforming their businesses. And Ukrainian businesses are no different - they are looking for new ways to survive, grow and thrive digitally in an unstable and uncertain environment. The driving force behind these digital transformations for Ukrainian businesses will be people trained in the skills required to implement and maintain large-scale cloud deployments, particularly in areas like artificial intelligence, machine learning, data analytics, application development, security, and cloud architecture. We want to help Ukrainian people that are working for, and running these organizations to learn new cloud technology skills to empower them to build and grow organizations that will support the future of their country. Today we are launching the “Grow your career with Google Cloud”program for Ukrainians looking to develop world-class expertise with practical skills in cloud to fuel the rapid digital transformation of Ukraine and invest in its future with expanded job opportunities for IT professionals.It is our aim to train up to 10,000 Ukrainians in cloud technology by the end of 2023. The “Grow your career with Google Cloud” program will help IT developers and students gain the practical and in-demand skills they need to grow their careers or find new jobs. The ‘Grow your career with Google Cloud’ Ukraine Program is created for:IT specialists and developers who want to develop their cloud skills and career. IT students who will graduate next year and need cloud skills for future jobs.For effective learning, it is recommended to have at least a basic level of English.What will program participants receiveTwo months of no-cost access to Google Cloud Skills Boost, the definitive destination for Google Cloud learning.Opportunity to gain real-world hands-on experience by earning Google Cloud skill badges. Skill badges validate an individual’s cloud skills in support of reaching their cloud career goals.Individual learning paths aligned to job roles. These curated collections of content combine on-demand courses with hands-on learning. For beginners, we recommend the Getting Started with Google Cloud learning path as the content is localized in Ukrainian.Prizes for 3 and more earned skill badges.Access to cloud experts at regular Q&A sessions. More details are here.Ready to get started? Click here to register. Participants will be organized into cohorts, with the first cohort starting October 4, 2022. Once you have completed registration, you will receive an email with next steps, including information for upcoming webinars and cloud expert led Q&A sessions.  More information about the “Grow your career with Google Cloud” program is here.Related ArticleSign up for the Google Cloud Fly Cup ChallengeLearn more about how to participate in the Google Cloud Fly Cup, brought to you in partnership with The Drone Racing League.Read Article

  • A few administrative tips for new ESI users.
    by /u/IT_ISNT101 (Microsoft Azure Certifications) on September 21, 2022 at 12:17 pm

    Hey Everyone, I know there are quite a few ESI users here and after having done a *lot* of the ESI courses and exams I thought it may be useful to add some tips and to see if anyone else has tips they can share about making it the best experience they can. 1) Multi-day invites - potential for marked as not attending. I am currently on a course and the instructor explained that you should NEVER, ever use the same link/incorrect link in calendar (i.e. don't just re-use day 1 invite). Reason for this is that it goes to automatically update your attendance on the course and if the instructor isn't vigilant in making sure everyone attends "in the system" you may not get the credit. I am currently trying to remediate this situation that has happened to me. 2) Check your enrolments. Not everyone wants to take the exam but it is good to have proof that you attended. The link to use is https://esi.learnondemand.net/ - Course attendance will be listed under "My Training" with a completion status - See above warning on that one. I was looking for this and didn't even realise it was there! 3) Check your courses before you click on them to make sure they are correct. I know it sounds obvious but with that many languages and time zones it can be super easy to end up on one at some stupid time or even worse, a language you don't speak. It just pays to make sure and do it in advance so that a cancellation doesn't result in a black mark. 4) Don't be tempted to use your own Azure lab for the labs I know, cloudslice isn't great and its slow BUT the one advantage is that your instructor can actually see your lab and if you get stuck, help figure out what's wrong. They can't do that if you use your own sub. That's it for now. Hope it helps. submitted by /u/IT_ISNT101 [link] [comments]

  • Azure Conditional Access Policies - AZ 303
    by /u/BitAccomplished3461 (Microsoft Azure Certifications) on September 20, 2022 at 9:19 pm

    submitted by /u/BitAccomplished3461 [link] [comments]

  • DP-900 Exam Prep Question
    by /u/HavenHexed (Microsoft Azure Certifications) on September 20, 2022 at 5:54 pm

    I have been through the Microsoft Learn modules, watched John Savill's exam cram, and been through Scott Duffy's videos on Udemy for the DP-900. I bought the exam reference with the intention of reading it through, but it seems way more in depth than what the videos and learn modules presented. I did sign up for the Microsoft Virtual Training Days for the Data Fundamentals. Is all the extra information needed in the book? I am not a data admin or anything. I am more in systems admin with my boss wanting me to learn more about Azure. I have taken the AZ-900 and figured this would be a good one as well. Just trying to figure out if the book is worth the read for the exam. submitted by /u/HavenHexed [link] [comments]

  • New Twitch season of AWS Power Hour: Architecting starts September 27th!
    by Lauren Cutlip (AWS Training and Certification Blog) on September 20, 2022 at 3:47 pm

    AWS Power Hour: Architecting is back with six fun, engaging episodes that help you prepare for the newly updated AWS Certified Solutions Architect - Associate exam. Join us on Tuesdays at 7:30 a.m. PT from September 27 to November 1 for this live Twitch series.

  • Passed DP-900
    by /u/BigTexJr (Microsoft Azure Certifications) on September 20, 2022 at 1:37 pm

    I am pretty proud of this one. Databases are an area of IT where I haven't spent a lot of time, and what time I have spent has been with SQL or MySQL with old school relational databases. NoSQL was kinda breaking my brain for a while. Study Materials: Microsoft Virtual Training Day, got the voucher for the free exam. I know several people on here said that was enough for them to pass the test, but that most certainly was not enough for me. Exampro.co DP-900 course and practice test. They include virtual flashcards which I really liked. Whizlabs.com practice tests. I also used the course to fill in gaps in my testing. submitted by /u/BigTexJr [link] [comments]

  • Az 204 Renewal Question
    by /u/Pure-Question-6464 (Microsoft Azure Certifications) on September 20, 2022 at 12:02 pm

    I recently got an email informing me that my cert will expire on March 2023. I am wondering if I give the exam now instead of Feb 2023, will the subsequent expiry date start from now or from March 2023? submitted by /u/Pure-Question-6464 [link] [comments]

  • struggling with az-104
    by /u/scootscootman1 (Microsoft Azure Certifications) on September 20, 2022 at 11:24 am

    Hi All, I've been studying for az-104 for coming up 5 months, and also using it daily at my job (amongst a barrel of other random IT systems) i am really struggling. i decided to buy the measure up exam and i got 33%. I already failed az-104 once with 685. The next attempt my work has given my a voucher so i can't afford to fail it. i think i did so bad on the measureup because, first attempt and im really tired right now. i think i am just having problems remebering all the stuff. my memory isn't that great, i have anxiety and depression, which really makes that much worse. im actually starting to question if its even possible for me to pass this, i've done so much study and i was so enthusiastic, but now im just dead, my employer thinks im useless because they thought i should have passed it within 3 months. sometimes i try to study and the brain just can't tune in, i just get distracted by any small thing. i really want to focus on it, but i think my passion for this is just gone. what to do? maybe im using the wrong training materials? so far 80% complete on acloudguru az-104 course some of the microsoft learn modules whizzlab practise exams - all complete 4-5 with 80%+ just got the measureup exam today - 33% on first go i've been watching some john savill and also have my own tenant - spun up various vms' player with policy and backups, log analytics workspaces load balancers nsgs. ​ what am i doing wrong? i am beggining to think im just dumb - or its not that im dumb as its not like i can't understand what im reading, i just forget it quite quickly for some reason? submitted by /u/scootscootman1 [link] [comments]

  • AZ900 cert.
    by /u/jtect (Microsoft Azure Certifications) on September 19, 2022 at 6:06 pm

    Is anyone still doing AZ900 cert? submitted by /u/jtect [link] [comments]

  • Curriculum for AZ 900
    by /u/Engineer2309 (Microsoft Azure Certifications) on September 19, 2022 at 5:03 pm

    Hi. Anyone planning to take up AZ 900 this week? I feel like the syllabus has been cut short. I am not able to find modules on AI, IoT, Big Data services in the official site. Can anyone confirm? https://learn.microsoft.com/en-us/certifications/exams/az-900 ​ Edit: Passed with 835. My advice would be to stick with Microsoft Learn, watch related videos from John Savill's AZ 900 playlist and also watch his exam cram video. submitted by /u/Engineer2309 [link] [comments]

  • Which one should I go for AZ-305 or AZ-400
    by /u/SnooHedgehogs1443 (Microsoft Azure Certifications) on September 19, 2022 at 12:00 am

    Hi All, ​ which one is the better one to have on your resume? submitted by /u/SnooHedgehogs1443 [link] [comments]

  • Passed AI-900! Tips & Resources Included!!
    by /u/_-readit-_ (Microsoft Azure Certifications) on September 18, 2022 at 10:33 pm

    Huge thanks to this subreddit for helping me kick start my Azure journey. I have over 2 decades of experience in IT and this is my 3rd Azure certification as I already have AZ-900 and DP-900. Here's the order in which I passed my AWS and Azure certifications: SAA>DVA>SOA>DOP>SAP>CLF|AZ-900>DP-900>AI-900 I have no plans to take this certification now but had to as the free voucher is expiring in a couple of days. So I started preparing on Friday and took the exam on Sunday. But give it more time if you can. Here's my study plan for AZ-900 and DP-900 exams: finish a popular video course aimed at the cert watch John Savill's study/exam cram take multiple practice exams scoring in 90s This is what I used for AI-900: Alan Rodrigues' video course (includes 2 practice exams) 👌 John Savill's study cram 💪 practice exams by Scott Duffy and in28Minutes Official 👍 knowledge checks in AI modules from MS learn docs 🙌 I also found the below notes to be extremely useful as a refresher. It can be played multiple times throughout your preparation as the exam cram part is just around 20 minutes. https://youtu.be/utknpvV40L0 👏 Just be clear on the topics explained by the above video and you'll pass AI-900. I advise you to watch this video at the start, middle and end of your preparation. All the best in your exam. submitted by /u/_-readit-_ [link] [comments]

  • DP 100 or AI 100?
    by /u/Masoud_mirza (Microsoft Azure Certifications) on September 18, 2022 at 6:46 pm

    Hello, mates. Hope you are doing well. I am a senior student in Master of Data Analytics for Business, and I'm doing my master's final work, which is a project that should be done in Azure Machine Learning Studio. Considering my poor coding knowledge (which of course I should improve) and my tendency to learn Azure ML Studio, which certificate do you suggest I learn? DP 100 or AI 100? Thank you in advance for your time. submitted by /u/Masoud_mirza [link] [comments]

  • Are tutorial dojo's practice questions basically dumps?
    by /u/skan40 (Microsoft Azure Certifications) on September 18, 2022 at 5:15 pm

    I have observed some of their questions appearing in the real exam. submitted by /u/skan40 [link] [comments]

  • PL-300 (Power BI Data Analyst) vs DP-203 (Azure Data Engineer): Which is better, and why?
    by /u/Random-Helper-1 (Microsoft Azure Certifications) on September 18, 2022 at 5:54 am

    From the perspective of employability, future job prospects, barrier to entry etc which is better? Happy to read others’ opinions, thanks. submitted by /u/Random-Helper-1 [link] [comments]

  • GCP Cloud Engineer Cert practice exam choices
    by /u/phat1forever (Google Cloud Platform Certification) on September 18, 2022 at 12:52 am

    Hey, I have seen people mention Tutorial Dojo has good practice exams. Does that mean this: https://portal.tutorialsdojo.com/courses/google-certified-associate-cloud-engineer-practice-exams/#learndash-course-content Or this:https://www.udemy.com/course/google-certified-associate-cloud-engineer-practice-exams-gcp/ Currently I am using ACG and bought some practice exams on Udemy that are difficult, https://www.udemy.com/course/google-certified-associate-cloud-engineer-practice-tests-x , but I am still studying. I am open to other suggestions as well. submitted by /u/phat1forever [link] [comments]

  • Sign up for the Google Cloud Fly Cup Challenge
    by (Training & Certifications) on September 15, 2022 at 10:00 pm

    Are you ready to take your cloud skills to new heights? We’re excited to announce the Google Cloud Fly Cup Challenge, created in partnership with The Drone Racing League (DRL) and taking place at Next ‘22 to usher in the new era of tech-driven sports. Using DRL race data and Google Cloud analytics tools, developers of any skill level will be able to predict race outcomes and provide tips to DRL pilots to help enhance their season performance. Participants will compete for a chance to win an all-expenses-paid trip to the season finale of the DRL World Championship Race and be crowned the champion on stage.  How it works: Register for Next 2022 and navigate to the Developer Zone challenges to unlock the gameComplete each stage of the challenge to advance and climb the leaderboardWin prizes, boost skills and have fun!There will be three stages of the competition, and each will increase in level of difficulty. The first stage kicks off on September 15th, where developers will prepare data and become more familiar with the tools for data-driven analysis and predictions with Google ML Tools. There are over 500 prizes up for grabs, and all participants will receive an exclusive custom digital badge, and an opportunity to be celebrated for their achievements alongside DRL Pilots. There will be one leaderboard that will cumulate scores throughout the competition and prizes will be awarded as each stage is released. Stage 1: DRL Recruit: Starting on September 15th, start your journey here to get an understanding of DRL data by loading and querying race statistics. You will build simple reports to find top participants and fastest race times. Once you pass this lab you will be officially crowned a DRL recruit and progress for a chance to build on your machine learning skills and work with two more challenge labs involving predictive ML models. Prize: The top 25 on the leaderboard will win custom co-branded DRL + Google Cloud merchandise.Stage 2: DRL Pilot: Opening in conjunction with the first day of Next 2022 on October 11, in this next stage you will develop a model which can predict a winner in a head to head competition and a score for each participant, based on a pilots profile and flight history. Build a "pilot profile card" that analyzes the number of crashes and lap times and compares it to other pilots. Fill out their strengths and weaknesses and compare them to real life performances, and predict the winner of the DRL Race in the Cloud at Next 2022, and be crowned top developer for this stage.Prize: The first 500 participants to complete stage 2 of the contest will receive codes to download DRL’s Simulator on Steam.Stage 3: DRL Champion: Continue this journey throughout the DRL championship season. Using the model developed in Stage 2. Use data from past races to score participants and predict outcomes. Provide pilots with real life tips and tricks to help improve their performance. The developer at the top of the leaderboard at the end of December 2022 will win an expenses-paid VIP trip to DRL’s final race in early 2023. Prize: Finish in the top 3 for an opportunity to virtually present your tips and tricks to professional DRL Pilots before the end of the 2022-2023 race seasonTop the leaderboard as the Grand Champion and win an expenses paid VIP experience to travel to a DRL Championship Race in early 2023 and be celebrated on stage. For more information on prizes and terms please visit the DRL and Google Cloud website.  Ready to Fly? The Google Cloud Fly Cup Challenge opens today and will remain available on the Next ‘22 portal through December 31, 2022 when the winner will be announced. We are looking forward to seeing how you innovate and build together for the next era of tech-driven sports. Let’s fly!

  • The value of data and pursuing the AWS Certified Data Analytics – Specialty certification
    by Carole Suarez (AWS Training and Certification Blog) on September 15, 2022 at 6:50 pm

    Gain tips and guidance from four AWS Solutions Architects for how you can build your skills and expertise in data analytics and pursue the AWS Certified Data Analytics – Specialty certification.

  • Register for Google Cloud Next
    by (Training & Certifications) on September 14, 2022 at 4:00 pm

    Google Cloud Next ‘22 kicks off on October 11 at 9AM PDT with a 24-hour “follow the sun” global digital broadcast featuring live keynotes from five locations across the globe — New York, Sunnyvale, Tokyo, Bengaluru, and Munich. You’ll hear from the people shaping the future of computing and have the opportunity to learn from Google Cloud leaders and community influencers about ways they are solving the biggest challenges facing organizations today.You can experience Next ‘22 digitally and in-person. Here’s how: Join us digitally through the Google Cloud Next website to learn about the latest news, products, and Google Cloud technology and to access technical and training content.  Visit us locally at one of 200 physical events across six continents. In conjunction with our Partner and Developer Communities, we are excited to bring a series of small physical events around the world. Be sure to register for Next ‘22 so we can alert you about physical events in your area soon. At Next ‘22, you’ll find knowledge and expertise to help for whatever you’re working on with content tracks personalized for application developers, data scientists, data engineers, system architects, and low/no-code developers.To make Google Cloud Next as inclusive as possible, it is free for all attendees. Here’s more about Next ‘22 for you to get excited:Experience content in your preferred language. The Next ‘22 web experience will be translated into nine languages using Cloud Translate API. For Livestream and session content, you can turn on YouTube for CC (closed captions), which supports 180+ languages.Engineer your own playlist. Create, build, explore, and share your own custom playlists and discover playlists curated by Google Cloud.Hang with fellow developers. Gain access to dedicated developer zones through Innovators Hive livestreams, in-person event registration, a developer badging experience, challenges, curated resources and more fun with drone racing.Engage with your community. Use session chats to engage with other participants and ask questions to presenters, so you can fully immerse yourself in the content.Register for Next ‘22Connect with experts, get inspired, and boost your skills.There’s no cost to join any of the Next ‘22 experience. We can’t wait to see you and we’ll be sure to keep you posted about ways to engage locally with the Google Cloud community in your area. Say hello to tomorrow. It’s here today, at Next.Register today.Related ArticleRead Article

  • Digital Cloud Leader practice tests
    by /u/FightForYourDreams (Google Cloud Platform Certification) on September 13, 2022 at 11:30 pm

    Hi everyone, Can you please recommend me good practice tests that are similar to one you’d have on a real exam? I’ve tried one on Udemy and it was too hard and off comparing to Google videos and Google sample tests. TIA submitted by /u/FightForYourDreams [link] [comments]

  • 10 examples of scenario-based learning from AWS Training and Certification
    by Saif Altalib (AWS Training and Certification Blog) on September 13, 2022 at 7:31 pm

    Are you just getting started with your cloud learning journey and looking for opportunities to learn the fundamentals of Amazon Web Services (AWS) using training that is scenario-based? Take a look at 10 examples of training from AWS Training and Certification that provides situational, human-centered, scenario-based learning to advance your cloud knowledge.

  • Drive digital transformation, get Cloud Digital Leader certified
    by (Training & Certifications) on September 13, 2022 at 4:00 pm

    As enterprises look to accelerate cloud adoption, it is critical to not only upskill your technical talent, but to focus on skilling your non-technical teams too. Investing in your collective workforce’s cloud proficiency helps ensure you fully embrace everyone’s potential, and make the most of your cloud investment.According to research shared in a recent IDC paper1, comprehensively trained organizations saw a bigger impact vs. narrowly trained organizations, with 133% greater improvement in employee retention, a 47% reduction in business risk and a 22% increase in innovation. This is where Cloud Digital Leader training and certification comes in. Most cloud training and certification is geared toward technical cloud practitioners, leaving non-technical (tech-adjacent) teams with little understanding of cloud technologies. Cloud Digital Leader bridges this gap, providing easy-to-understand training that enables everyone to understand the capabilities of cloud so that they can contribute to digital transformation in their organizations.In  a recent fireside chat with Google Cloud Partner Kyndryl, who have achieved over 1,000 Cloud Digital Leader certifications across their organization, they shared how the Cloud Digital Leader training and certification has led to significant time reduction within their pre-sales cycle:“Our sales teams who work with customers and learn about their challenges were able to apply the know-how from their Cloud Digital Leader education and certification. They can now guide the technical solution teams in the right direction, without having to pull them into the discovery phases of their customer interactions. As a result, we operated more quickly and efficiently,  as the sales teams were able to speak to the Google Cloud solutions very early on in the sales cycle. This accelerated the sales process, as the sales teams were therefore more confident in their Google Cloud knowledge, saving time and money for us, and the customer.” — Christoph Schwaiger, Google Cloud Business Development Executive, Global Strategic Alliances, Kyndryl.Empower your team’s cloud fluency, and discover your next phase of digital transformation. Invite your teams to jump start their cloud journey with no-cost Cloud Digital Leader training on Google Cloud Skills Boost.Join our live webinar to access a time-limited certification offerRegister for our upcoming webinar, “Getting started with Google Cloud Digital Leader training and certification” to learn more. Those that register for the webinar before broadcast on September 15, 9am PT will get access to a time-limited discount voucher for the Cloud Digital Leader certification exam. That’s an offer that you won’t want to miss.1. IDC Paper, sponsored by Google Cloud Learning: "To Maximize Your Cloud Benefits, Maximize Training" - Doc #US48867222, March 2022Related ArticleTrain your organization on Google Cloud Skills BoostTo help more than 40 million people build cloud skills, Google Cloud has launched new enterprise level features on Google Cloud Skills Bo...Read Article

  • Thank you Partners for three years of growth and winning together
    by (Training & Certifications) on September 12, 2022 at 10:00 am

    Congratulations to our fast growing ecosystem of global partners for three years of commitment to Partner Advantage, underscored by great collaboration, high energy, innovative ideas, and transformative impact. Together we’ve leveraged our program to drive growth and customer satisfaction. Year to date, there has been more than a 140% year-over-year increase in experts at our partner organizations trained (devs, technical, certifications, solutions) for 2022. This has translated into thousands of happy customers, many of whose stories are available to read in our Partner Directory. Each of you continue to inspire our shared customers and all of us at Google Cloud. And we are only getting started!We are hard at work making sure every aspect of your business with Google Cloud is smooth running, easy to navigate, and profitable. So what’s in store for 2023? Here’s a sneak peak: Expect to see more activity and focus around our Differentiation Journey as a vehicle for driving your growth and success. This includes encouraging partners to offer more in the area of high value and repeatable services, where the opportunity is large and growing fast. You can learn more about the global economic impact our partners are having in this blog post.You’ll also see Partner Advantage focusing more on solutions and customer transformation. All of which will include corresponding incentives, new benefits, and more features.Thank you again for your commitment and hard work. It’s been a fantastic three years of amazing opportunity and growth. Not a partner yet? Start your journey today!The best is yet to come!-Nina HardingRelated ArticleRead Article

  • Doing the Cloud Guru CDL course; are the Labs really necessary?
    by /u/ExNihilo_01 (Google Cloud Platform Certification) on September 11, 2022 at 5:32 pm

    I did the AWS CCP with little prep, and no cloud guru course. I just took notes from this 4 hour video. I'm currently almost finished the Cloud Guru CDL course, but have not done any of the labs. Are they useful or necessary? submitted by /u/ExNihilo_01 [link] [comments]

  • Find a role in the cloud—even if you’re not technical
    by Cristina Vargas (AWS Training and Certification Blog) on September 8, 2022 at 8:21 pm

    Curious about the options for a job in cloud? It's no longer limited to individuals in historically technical roles. Explore your options at our free Cloud Career Exploration Day event on September 14, 2022 at the AWS Skills Center in Seattle and virtually. We’ll explore what the cloud is, what you need to know, what job roles are available, and why so many employers are hiring people with cloud skills.

  • GCP Cloud Engineer - practice tests
    by /u/Monurmac (Google Cloud Platform Certification) on September 8, 2022 at 10:11 am

    Hi, I am preparing for the Cloud Engineer associate exam, and considering some practice tests. I am considering Udemy: https://www.udemy.com/course/google-certified-associate-cloud-engineer-practice-tests-x/ Or https://www.udemy.com/course/google-cloud-associate-cloud-engineer-practice-examspractice-exams/ Which one should I choose, and would it be sufficient, if I learn the concept behind the questions in the mentioned links? Thanks in advance 🙂 submitted by /u/Monurmac [link] [comments]

  • When cloud curiosity leads to a career transformation
    by Training and Certification Blog Editor (AWS Training and Certification Blog) on September 6, 2022 at 7:17 pm

    Are you currently in a technical role but don’t have much experience with the cloud? Learn how one learner with prior app developer experience utilized instructor-led training courses through AWS Training and Certification to grow cloud expertise, earn three AWS Certifications, and transition into a role as a solutions architect.

  • Four non-traditional paths to a cloud career (and how to navigate them)
    by (Training & Certifications) on September 6, 2022 at 4:00 pm

    One thing I love about cloud is that it’s possible to succeed as a cloud engineer from all kinds of different starting points. It’s not necessarily easy; our industry remains biased toward hiring people who check a certain set of boxes such as having a university computer science degree. But cloud in particular is new enough, and has such tremendous demand for qualified talent, that determined engineers can and do wind up in amazing cloud careers despite coming from all sorts of non-traditional backgrounds.But still - it’s scary to look at all the experienced engineers ahead of you and wonder “How will I ever get from where I am to where they are?”A few months ago, I asked some experts at Google Cloud to help me answer common questions people ask as they consider making the career move to cloud. We recorded our answers in a video series called Cracking the Google Cloud Career that you can watch on the Google Cloud Tech YouTube channel. We tackled questions like…How do I go from a traditional IT background to a cloud job?You have a superpower if you want to move from an old-school IT job to the cloud: You already work in tech! That may give you access to colleagues and situations that can level up your cloud skills and network right in your current position. But even if that’s not happening, you don’t have to go back and start from square one. Your existing career will give you a solid foundation of professional experience that you can layer cloud skills on top of. Check out my video to see what skills I recommend polishing up before you make the jump to cloud interviews:How do I move from a help desk job to a cloud job?The help desk is the classic entry-level tech position, but moving up sometimes seems like an insurmountable challenge. Rishab Kumar graduated from a help desk role to a Technical Solutions Specialist position at Google Cloud. In his video, he shares his story and outlines some takeaways to help you plot your own path forward.Notably, Rishab calls out the importance of building a portfolio of cloud projects: cloud certifications helped him learn, but in the job interview he got more questions about the side projects he had implemented. Watch his full breakdown here:How do I switch from a non-technical career to the cloud?There’s no law that says you have to start your tech career in your early twenties and do nothing else for the rest of your career. In fact, many of the strongest technologists I know came from previous backgrounds as disparate as plumbing, professional poker, and pest control. That’s no accident: those fields hone operational and people skills that are just as valuable in cloud as anywhere else. But you’ll still need a growth mindset and lots of learning to land a cloud job without traditional credentials or previous experience in the space. Google Cloud’s Stephanie Wong came to tech from the pageant world and has some great advice about how to build a professional network that will help you make the switch to a cloud job. In particular, she recommends joining the no-cost Google Cloud Innovators program, which gives you inside access to the latest updates on Google Cloud services alongside a community of fellow technologists from around the globe.Stephanie also points out that you don’t have to be a software engineer to work in the cloud; there are many other roles like developer relations, sales engineers and solutions architects that stay technical and hands-on without building software every day.You can check out her full suggestions for transitioning to a tech career in this video:How do I get a job in the cloud without a computer-related college degree?No matter your age or technical skill level, it can be frustrating and intimidating to see role after role that requires a bachelor’s degree in a field such as IT or computer science. I’m going to let you in on a little secret: once you get that first job and add some experience to your skills, hardly anybody cares about your educational background anymore. But some recruiters and hiring managers still use degrees as a shortcut when evaluating people for entry-level jobs.Without a degree, you’ll have to get a bit creative in assembling credentials. First, consider getting certified. Cloud certifications like the Google Cloud Associate Cloud Engineer can help you bypass degree filters and get you an interview. Not to mention, they’re a great way to get familiar with the workings of your cloud. Google Cloud’s Priyanka Vergadia suggests working toward skill badges on Google Cloud Skills Boost; each skill badge represents a curated grouping of hands-on labs within a particular technology that can help you build momentum and confidence toward certification.Second, make sure you are bringing hands-on skills to the interview. College students do all sorts of projects to bolster their education. You can do this too - but at a fraction of the cost of a traditional degree. As Priyanka points out in this video, make sure you are up to speed on Linux, networking, and programming essentials before you apply:No matter your background, I’m confident you can have a fulfilling and rewarding career in cloud as long as you get serious about these two things:Own your credibility through certification and hands-on practice, andBuild strong connections with other members of the global cloud community.In the meantime, you can watch the full Cracking the Google Cloud Career playlist on the Google Cloud Tech YouTube channel. And feel free to start your networking journey by reaching out to me anytime on Twitter if you have cloud career questions - I’m happy to help however I can.Related ArticleShow off your cloud skills by completing the #GoogleClout weekly challengeComplete the weekly #GoogleClout challenge and show off your cloud skillsRead Article

  • Earn new badges by building your cloud storage knowledge
    by Jennifer Ricciuti (AWS Training and Certification Blog) on September 1, 2022 at 5:58 pm

    AWS Training and Certification provides flexible Storage learning plans through AWS Skill Builder to help you build in-demand cloud storage knowledge by progressing from foundational to advanced concepts. AWS Storage digital learning badges are available to showcase your knowledge once you score 80% or higher on the associated online assessment for any of these learning plans.

  • Passed GCP Professional Cloud Architect
    by /u/electricninja911 (Google Cloud Platform Certification) on September 1, 2022 at 6:25 am

    First of all, I would like to start with the fact that I already have around 1 year of experience with GCP in depth, where I was working on GKE, IAM, storage and so on. I also obtained GCP Associate Cloud Engineer certification back in June as well, which helps with the preparation. I started with Dan Sullivan’s Udemy course for Professional Cloud Architect and did some refresher on the topics I was not familiar with such as BigTable, BigQuery, DataFlow and all that. His videos on the case studies helps a lot to understand what each case study scenario requires for designing the best cost-effective architecture. In order to understand the services in depth, I also went through the GCP documentation for each service at least once. It’s quite useful for knowing the syntax of the GCP commands and some miscellaneous information. As for practice exam, I definitely recommend Whizlabs. It helped me prepare for the areas I was weak at and helped me grasp the topics a lot faster than reading through the documentation. It will also help you understand what kind of questions will appear for the exam. I used TutorialsDojo (Jon Bonso) for preparation for Associate Cloud Engineer before and I can attest that Whizlabs is not that good. However, Whizlabs still helps a lot in tackling the tough questions that you will come across during the examination. One thing to note is that, there wasn’t even a single question that was similar to the ones from Whizlabs practice tests. I am saying this from the perspective of the content of the questions. I got totally different scenarios for both case study and non case study questions. Many questions focused on App Engine, Data analytics and networking. There were some Kubernetes questions based on Anthos, and cluster networking. I got a tough question regarding storage as well. I initially thought I would fail, but I pushed on and started tackling the multiple-choices based on process of elimination using the keywords in the questions. 50 questions in 2 hours is a tough one, especially due to the lengthy questions and multiple choices. I do not know how this compares to AWS Solutions Architect Professional exam in toughness. But some people do say GCP professional is tougher than AWS. All in all, I still recommend this certification to people who are working with GCP. It’s a tough one to crack and could be useful for future prospects. It’s a bummer that it’s only valid for 2 years. submitted by /u/electricninja911 [link] [comments]

  • AWS Certified Solutions Architect – Associate exam updated to align with latest trends and innovations
    by Training and Certification Blog Editor (AWS Training and Certification Blog) on August 31, 2022 at 8:48 pm

    The AWS Certified Solutions Architect - Associate exam is updated as of August 30, 2022. The updates reflect increased enterprise demand for optimizations in fast-changing areas such as security, resiliency, data volume, cost optimization, and the design of high-performance systems. Learn about the changes and how to prepare for the new exam.

  • New courses and updates from AWS Training and Certification in August 2022
    by Training and Certification Blog Editor (AWS Training and Certification Blog) on August 30, 2022 at 6:14 pm

    Check out the latest courses, offerings, and updates for cloud learners, AWS customers, and AWS Partners in August 2022 from Amazon Web Services (AWS) Training and Certification.

  • Passed my GCP ACE Exam
    by /u/depictureboy2 (Google Cloud Platform Certification) on August 18, 2022 at 4:33 pm

    Glad I took it at a center. They kept losing connection, glad I didn't have to deal with that headache. ​ Now just to wait for the official word. Onto the Professional Data Engineer submitted by /u/depictureboy2 [link] [comments]

  • Steps to implement cloud skilling programs to jump-start digital transformation
    by Training and Certification Blog Editor (AWS Training and Certification Blog) on August 17, 2022 at 3:22 pm

    As more organizations are investing in digital transformation to accelerate business growth and competitive positioning, they’re quickly finding they lack the necessary cloud-skilled talent to help reach their cloud goals. This blog post shares actionable steps leaders can take now to stand up cloud skills training programs to support their cloud business goals, retain valuable talent, and become an organization where skills development is the key ingredient to innovation.

  • Job Opportunities from Associate to Cloud Architect
    by /u/chancemuse (Google Cloud Platform Certification) on August 16, 2022 at 11:25 pm

    Hello, I'm currently certified as an Associate Cloud Engineer and have been studying for the Cloud Architect exam. I wanted to ask to see what changed in terms of interview call backs or follow ups once you moved from the Associate level cert to the Professional level. submitted by /u/chancemuse [link] [comments]

  • A visual tour of Google Cloud certifications
    by (Training & Certifications) on August 16, 2022 at 4:00 pm

    Interested in becoming Google Cloud certified? Wondering which Google Cloud certification is right for you? We’ve got you covered.Check out the latest#GCPSketchnote illustration, a framework to help you determine which Google Cloud certification is best suited to validate your current skill set and propel you toward future cloud career goals.Follow the arrows to see where you land, and for tips on how to prepare for your certification on Google Cloud Skills Boost: Cloud Digital Leader-This certification is for anyone who wishes to demonstrate their knowledge of cloud computing basics and how Google Cloud products and services can be used to achieve an organization’s goals.Associate Cloud Engineer - This certification is for candidates who have a solid understanding of Google Cloud fundamentals and experience deploying cloud applications, monitoring operations, and managing cloud enterprise solutions.Professional Google Cloud certifications - These certifications are ideal for candidates with in-depth experience working hands-on setting up cloud environments for organizations based on their business needs, and have experience deploying services and solutions.Professional Cloud ArchitectProfessional Cloud DeveloperProfessional Data EngineerProfessional Cloud Database EngineerProfessional DevOps EngineerProfessional Machine Learning EngineerProfessional Network EngineerProfessional Security EngineerProfessional Workspace Administrator Continue along the arrows for tips on how to prepare for your certification, while earning completion badges and skill badges through our on-demand learning platform, Google Cloud Skills Boost along the way.Where will your certification journey take you?Get started preparing for your certification today. New users are eligible for a 30-day no-cost trial on  Google Cloud Skills Boost.Related ArticleMeet the new Professional Cloud Database Engineer certificationGoogle Cloud launches a new Professional certification.Read Article

  • Google Cloud - Certification Journey
    by /u/johnbulla (Google Cloud Platform Certification) on August 14, 2022 at 8:31 pm

    Dear community, From September, the new 7-week Certification Journey Program will give you all the resources and support you need to become fully certified as a Cloud Architect, Associate Cloud Engineer or Data Engineer. #Free 🔗More Info: http://wiki-cloud.co/en/2022/08/google-cloud-certification-journey-2022 #GoogleCloud #Certification https://preview.redd.it/7swwya0roqh91.png?width=780&format=png&auto=webp&s=ab6442a95c1490eb221e896fd490a4cd6e8e240a submitted by /u/johnbulla [link] [comments]

  • Passed GCP: Cloud Digital Leader
    by /u/Kalad1nBrood (Google Cloud Platform Certification) on August 12, 2022 at 11:38 pm

    Hi everyone, First, thanks for all the posts people share. It helps me prep for my own exam. I passed the GCP: Cloud Digital Leader exam today and wanted to share a few things about my experience. Preparation I have access to ACloudGuru (AGU)and Udemy through work. I started one of the Udemy courses first, but it was clear the course was going beyond the scope of the Cloud Digital Leader certification. I switched over AGU and enjoyed the content a lot more. The videos were short and the instructor hit all the topics on the Google exam requirements sheet. AGU also has three - 50 question practices test. The practice tests are harder than the actual exam (and the practice tests aren't that hard). I don't know if someone could pass the test if they just watched the videos on Google Cloud's certification site, especially if you had no experience with GCP. Overall, I would say I spent 20 hrs preparing for the exam. I have my CISSP and I'm working on my CCSP. After taking the test, I realized I way over prepared. Exam Center It was my first time at this testing center and I wasn't happy with the experience. A few of the issues I had are: - My personal items (phone, keys) were placed in an unlocked filing cabinet - My desk are was dirty. There were eraser shreds (or something similar) and I had to move the keyboard and mouse and brush all the debris out of my work space - The laminated sheet they gave me looked like someone had spilled Kool-Aid on it - They only offered earplugs, instead of noise cancelling headphones Exam My recommendation for the exam is to know the Digital Transformation piece as well as you know all the GCP services and what they do. ​ I wish you all luck on your future exams. Onto GCP: Associate Cloud Engineer. submitted by /u/Kalad1nBrood [link] [comments]

  • Official GCP study guide print quality?
    by /u/steffi8 (Google Cloud Platform Certification) on August 11, 2022 at 11:25 pm

    How is the print quality with the official GCP study guide series? Is it better than Microsoft’s Azure series as those are pretty bad. submitted by /u/steffi8 [link] [comments]

  • Resources for Google Cloud
    by /u/Khaotic_Kernel (Google Cloud Platform Certification) on August 11, 2022 at 7:22 pm

    Useful Tools and Learning Resources for Google Cloud. Table of Contents Google Cloud Learning Resources Developer Resources GCP Training & Courses GCP Books Google Cloud Tools submitted by /u/Khaotic_Kernel [link] [comments]

  • Please help me decide, new graduate deciding his cloud journey.
    by /u/Themotionalman (Google Cloud Platform Certification) on August 11, 2022 at 9:40 am

    Hey so I would like to start my cloud journey. I just graduated in may and I’m lucky to have gotten a job in June. The company uses AWS the problem is I don’t see myself staying here long term. I currently do some front and back but I’d like to move more into cloud maybe later in life. I have used AWS and GCP on some personal projects nothing too intense. So I’d consider myself a noob. Here are my questions. How much preparation do you think is required for the cloud practitioner? After the CP I’d like to get a solutions architect dev architect I think and afterwards get the security specialist. Is this plan feasible, what would you change ? Last question something that might trigger a few, I’m afraid of vendor lock in, I know my company uses AWS and the best move to take would be to stick with them but here in France I see that GCP is more lucrative I am thinking of maybe doing just CP from AWS and pivoting, what do you think about this strategy, if any, what advice would you give to help me pick a platform or maybe you could tell me why you chose what you chose thanks in advance submitted by /u/Themotionalman [link] [comments]

  • Passed my Cloud Digital Leader!
    by /u/Spirited_Chipmunk_46 (Google Cloud Platform Certification) on August 11, 2022 at 2:51 am

    …well according to the preliminary results. Now to keep up the momentum. submitted by /u/Spirited_Chipmunk_46 [link] [comments]

  • Pluralsight/Udemy or Cloud Academy?
    by /u/steffi8 (Google Cloud Platform Certification) on August 9, 2022 at 9:21 pm

    For the following certifications what is recommended? Is one of the above suitable pass the Data Engineer/Cloud Architect/Cloud Engineer certifications? I have all 3 available to me with Dan Sullivans courses from Udemy. Furthermore, are Dan's books worthwhile if you're also following the online content? submitted by /u/steffi8 [link] [comments]

  • Hey in your words why pick GCP over AWS to learn, or at least the certs.
    by /u/Themotionalman (Google Cloud Platform Certification) on August 9, 2022 at 12:24 am

    submitted by /u/Themotionalman [link] [comments]

  • hi
    by /u/Logical-Neck-1131 (Google Cloud Platform Certification) on August 8, 2022 at 5:37 pm

    submitted by /u/Logical-Neck-1131 [link] [comments]

  • which gcp storage can scale to higher database sizes?
    by /u/lindogamaton (Google Cloud Platform Certification) on August 7, 2022 at 3:12 pm

    The answer is SQL Spanner. why is that? submitted by /u/lindogamaton [link] [comments]

  • passed GCP ACE today
    by /u/pulse008 (Google Cloud Platform Certification) on August 6, 2022 at 9:29 am

    submitted by /u/pulse008 [link] [comments]

  • ML Engineers: Partners for Scaling AI in Enterprises
    by (Training & Certifications) on August 4, 2022 at 4:00 pm

    Enterprises across many industries are adopting artificial intelligence (AI) and machine learning (ML) at a rapid pace. Many factors fuel this accelerated adoption, including a need to realize value out of the massive amounts of data generated by multichannel customer interactions and the increasing stores of data from all facets of an enterprise's operations. This growth prompts a question: what knowledge and skill sets are needed to help organizations leverage and scale AI and ML? To answer this question, it’s important to understand what types of transformations enterprises are going through as they aim to make better use of their data.Growing AI/ML Maturity Many large organizations have moved beyond pilot or sample AI/ML use cases within a single team to figuring out how to solidify their data science projects and scale them to other areas of the business. As data changes or gets updated, organizations need ways to continually optimize the outcomes from their ML models. Mainstreaming Data Science Data science has moved into the mainstream of many organizations. People working in various line-of-business teams — such as product, marketing and supply chain — are eager to apply predictive analytics. With this growth, decentralized data science teams are popping up all over a single enterprise. But many people looking to apply predictive techniques have limited training in data science or limited knowledge of the infrastructure fundamentals for production-scale AI/ML. Additionally, enterprises are faced with a proliferation of ad hoc technologies, tools and processes.  Increasing Complexity of Data Having achieved some early wins, often with structured or tabular data use cases, organizations are eager to derive value out of the massive amounts of unstructured data, including from language, vision, natural language and other categories. One role that organizations are increasingly turning to is the ML engineer.  What is a Machine Learning Engineer?I have observed that as organizations mature in their AI/ML practices, they expand from hiring mainly data scientists toward hiring people with ML engineering skills. A review of hundreds of ML engineer job postings sheds light on why this role is one way to meet the transformative needs of the enterprise. Examining the frequency of certain terms in the free text of the job postings surfaces several themes:SOFTWARE ENGINEERINGML engineers are closely affiliated with the software engineering function. Organizations hiring ML engineers have typically achieved some wins in their initial AI/ML pilots and they are moving up the ML adoption curve from implementing ML use cases to scaling, operationalizing and optimizing ML in their organizations. Many job postings emphasize the software engineering aspects of ML over the pure data science skills. ML engineers need to apply software engineering practices and write performant production-quality code. DATAEnterprises are looking for people with the ability to create pipelines or reusable processes for various aspects of ML workflows. This involves both collaborating with data engineers (another in-demand role) and creating the infrastructure for robust data practices throughout the end-to-end ML process. In other words, ML engineers create processes and partnerships to help with cleaning, labeling and working with large scale data from across the enterprise. PRODUCTIONMany employers look for ML engineers who have experience with the end-to-end ML process, especially taking ML models to production. ML engineers work with data scientists to productionize their work, building pipelines for continuous training, automated validation and version control of the model.  SYSTEMSMany ML engineers are hired to help organizations put the architecture, systems and best-practices in place to take AI/ML models to production. ML engineers deploy ML models to production either on cloud environments or on-premise infrastructure. The emphasis on systems and best practices helps to drive consistency as people with limited data science or infrastructure fundamentals learn to derive value from predictive analytics. This focus on systematizing AI/ML is also a critical prerequisite for developing an AI/ML governance strategy. This qualitative analysis of ML Engineering jobs is not based on an assessment of a specific job posting or even one specific to the enterprise I work in. Rather, it reflects a qualitative evaluation of general themes across the spectrum of publicly available job postings for ML engineers—a critical role for enterprises to scale AI/ML.In what teams do ML Engineers work?Within enterprises, ML engineers reside in a variety of teams, including data science, software engineering, research and development, product groups, process/operations and other business units.What industries seek talent to help productionize ML?While demand for ML engineers is at an all-time high, there are several industries that are at the forefront of hiring these roles. The industries with the highest demand for ML engineers include  computers and software, finance and banking and professional services. As AI and ML continue to grow and mature as a practice in enterprises, ML engineers play a pivotal role in helping to scale AI/ML usage and outcomes. ML engineers enable data scientists to focus on what they do best by establishing infrastructure, processes and best practices to realize business value from AI/ML models in production. This is especially the case as data volumes and complexity grows. Where to begin with building AI and ML skills? Google Cloud Skills Boost offers a number of courses that can help your teams build ML engineering skills on their path to achieving the Professional Machine Learning Engineer certification. To learn more about how Google Cloud products and services empower enterprises to do more with AI and ML, visit our AI and ML products page or read this blog post about some of our top resources for getting started with Google Cloud services like Vertex AI, our machine learning platform built for the needs of ML engineers. For the latest from Google Cloud ML experts and customers, check out on-demand sessions from our Applied ML Summit to get a firsthand look at additional learning events for you and your teams.Related ArticleSharpen your machine learning skills at Google Cloud Applied ML SummitImprove your machine learning skills and learn from leading experts at Google Cloud Applied ML Summit, coming June 9, 2022.Read Article

  • Azure Firewall Premium is now ICSA labs certified
    by Azure service updates on August 2, 2022 at 7:00 pm

    Azure Firewall Premium Intrusion Prevention System (IPS) certification from ICSA Labs is now available.

  • GCP ML Engineer Learning in a short time
    by /u/vrajjshah (Google Cloud Platform Certification) on July 29, 2022 at 3:34 pm

    I know Dump is not the right way to learn. But my workplace has given me a short deadline yesterday to complete ML Engineer Certificate by Monday. The Examtopics Dump is not available for this exam(gives 404 Error) - 404 - Page not found (examtopics.com). It is available through VPN but has only 66 questions! I did not find a course on Udemy too. Any other resources for learning it in a short time ( weekened)? Or even any other popular dumps website ( Tried and Tested). Thanks in Advance submitted by /u/vrajjshah [link] [comments]

  • Meet the new Professional Cloud Database Engineer certification
    by (Training & Certifications) on July 28, 2022 at 4:30 pm

    After a successful certification beta, we’re excited to share that the Professional Cloud Database Engineer certification is now generally available. This new certification allows you to showcase your ability to manage databases that power the world’s most demanding workloads. Traditional data management roles have evolved and now call for elevated cloud data management expertise, making this certification especially important now because 80% of IT leaders note a lack of skills and knowledge among their employees. Google Cloud certifications have proven to be critical for employees and businesses looking to adopt cloud technologies. In fact, 76% of IT decision makers agree that certifications have increased their confidence in their staff’s knowledge and ability. Certification exam tips from a beta testerThe new certification validates your ability to design, plan, test, implement, and monitor cloud databases. Plus, it also demonstrates your ability to lead database migration efforts and guide organizational decisions based on your company’s use cases.Kevin Slifer, Technical Delivery Director, Cloud Practice, EPAM Systems shares his experience in becoming a Google Cloud certified Professional Cloud Database Engineer:“Preparing for the Professional Cloud Database Engineer certification improved my proficiency in database migration and management in the cloud.  Passing the exam has enabled me to add immediate value to the organizations that I work with in navigating their database migration and modernization journeys, including my current project, which involves the adoption of Cloud SQL at scale. Candidates who are preparing for this exam should make an investment in understanding the key benefits of bringing legacy database platforms into Google-managed services like Cloud SQL and Bare Metal Solution, as well as the additional upside to going cloud-native with Google’s own database platforms like Spanner and Firestore.”Deepen your database knowledgeGet started with our recommended content to enhance your database knowledge, on your journey towards becoming a Google Cloud certified Professional Cloud Database Engineer. This is a Professional certification requiring both industry knowledge and hands-on experience working with Google Cloud databases.Start with the exam guide and familiarize yourself with the topics covered.Round out your skills by following the Database Engineer Learning Path which covers many of the topics on the exam, including migrating databases to Google Cloud and managing Google Cloud databases.Gain hands-on practice by earning the skill badges in the learning path:Create and Manage Cloud Spanner Databases  Manage Bigtable on Google Cloud Migrate MySQL data to Cloud SQL using Database Migration Service Manage PostgreSQL Databases on Cloud SQL Don’t skip the additional resources to help you prepare for the exam, such as:Your Google Cloud database options, explainedDatabase modernization solutions Database migration solutions Register for the exam! Mark Your CalendarsRegister for our upcoming Cloud OnAir webinar on August 4, 2022 at 9am PT featuring Mara Soss, Credentials and Certification Engagement Lead and Priyanka Vergadia, Google Cloud Staff Developer Advocate, as they dive into the new certification, how to best prepare, and they will take your questions live.Related ArticleWhy IT leaders choose Google Cloud certification for their teamsWhy IT leaders should choose Google Cloud training and certification to increase staff tenure, improve productivity for their teams, sati...Read Article

  • developer in ERP system for 10 years, new to GCP, which Google Cloud Cert should I pursue?
    by /u/lindogamaton (Google Cloud Platform Certification) on July 27, 2022 at 10:52 pm

    Hi,I am new to GCP. I have experience in python, sso, windows, sql in past 10 years. I have experience building web application on top of ERP, build some tutorial app on aws for weekend project, build integration, draw system diagram, and some of my client use datalake (all I do is to provide data through integration, but no knowledge of datalake). In my ERP word, I am at architect level with hands on coding experience. And I'd like to pursue GCP Cert: associate cloud engineer pro data engineer pro cloud developer pro cloud architect My goal is to get prod cloud architect, is it a mission impossible for 1st GCP. Should I take pro cloud developer path, build some web app, gain experience, then consider pro cloud architect next year? Thank you! submitted by /u/lindogamaton [link] [comments]

  • #GCP #GoogleCloud need to read flat file delimeted and push data to CloudSQL. google dataflow, right service ?
    by /u/Electronic-Region834 (Google Cloud Platform Certification) on July 27, 2022 at 2:40 am

    submitted by /u/Electronic-Region834 [link] [comments]

  • ACE GCP EXAM
    by /u/Mell-O_5751 (Google Cloud Platform Certification) on July 25, 2022 at 9:30 pm

    Hey, i just passed the ACE exam on 6th July but didnt received any confirmation mail yet by Google. I send many emails but nothing… how many days can be delayed? 20 days and counting. submitted by /u/Mell-O_5751 [link] [comments]

  • Whizlabs for GCP ACE?
    by /u/hpoddar2810 (Google Cloud Platform Certification) on July 25, 2022 at 6:33 am

    I am preparing for GCP ACE . I already have the whizlabs practice test but haven't given yet. So I wants to ask is it enough or I should also look for some other pratise tests. submitted by /u/hpoddar2810 [link] [comments]

  • Prepare for Google Cloud certification with top tips and no-cost learning
    by (Training & Certifications) on July 11, 2022 at 4:30 pm

    Becoming Google Cloud certified has proven to improve individuals’ visibility within the job market, and demonstrate ability to drive meaningful change and transformation within organizations.  1 in 4 Google Cloud certified individuals take on more responsibility or leadership roles at work, and  87% of Google Cloud certified users feel more confident in their cloud skills1.75% of IT decision-makers are in need of technologically-skilled personnel to meet their organizational goals and close skill gaps2.94% of those decision-makers agree that certified employees provide added value above and beyond the cost of certification3.Prepare for certification with a no-cost learning opportunityThat's powerful stuff, right?  That’s why we've teamed up with Coursera to support your journey to becoming Google Cloud certified.As a new learner, get one month of no-cost access to your selected Google Cloud Professional Certificate on Coursera to help you prepare for the relevant Google Cloud certification exam. Choose from Professional Certificates in data engineering, cloud engineering, cloud architecture, security, networking, machine learning, DevOps and for business professionals, the Cloud Digital Leader.Become Google Cloud certifiedTo  help you on your way to becoming Google Cloud certified, you can earn a discount voucher on the cost of the Google Cloud certification exam by completing the Professional Certificate on Coursera by August 31, 2022 Simply visit our page on Coursera and start your one month no-cost learning journey today. Top tips to prepare for your Google Cloud certification examGet hands-on with Google CloudFor those of you in a technical job role, we recommend leveraging the Google Cloud projects to build your hands-on experience with the Google Cloud console. With 500+ Google Cloud projectsnow available on Coursera, you can gain hands-on experience working in the real Google Cloud console, with no download or configuration required.Review the exam guideExam guides provide the blueprint for developing exam questions and offer guidance to candidates studying for the exam. We´d encourage you to be prepared to answer questions on any topic in the exam guide, but it's not guaranteed that every topic within an exam guide will be assessed.Explore the sample questionsTaking a look at the sample questions on each certification page will help to familiarize you with the format of exam questions and example content that may be covered. Start your certification preparation journey today with a one month no-cost learning opportunity on Coursera. Want to know more about the value of Google Cloud Certification? Find out why IT leaders choose Google Cloud Certification for their teams.1. Google Cloud, Google Cloud certification impact report, 20202. Skillsoft Global Knowledge, IT skills and Salary report, 20213. Skillsoft Global Knowledge, IT skills and Salary report, 2021Related ArticleWhy IT leaders choose Google Cloud certification for their teamsWhy IT leaders should choose Google Cloud training and certification to increase staff tenure, improve productivity for their teams, sati...Read Article

  • Investing in Differentiation brings great customer experiences and repeatable business
    by (Training & Certifications) on July 7, 2022 at 4:00 pm

    “Customer success is the cornerstone of our partner ecosystem and ensures our joint customers experience the innovation, faster time to value, and top notch skills from Google and Google Cloud Partners.”—Nina Harding, Global Chief, Partner Advantage Program.Our ecosystem is a strong, validated ally to help you drive business growth and solve complex challenges. Differentiation achievements help you select a partner with confidence, knowing that Google Cloud has verified their skills and customer success across our products, horizontal solutions and key industries.  In all cases, our partners have demonstrated their commitment to learning and ongoing training, demonstrated through earned certifications, Specialization and Expertise. To further refine the process of helping customers find the best partner fast, we recently introduced Net Promoter Score© within Partner Advantage.  This industry standard rating tool allows customers to provide feedback and insights on their successes with partners quickly and easily. We encourage you to work with your partners to share your success and provide feedback using Net Promoter Score.To find the most highly qualified, experienced partners the Google Cloud Partner Directory puts you in the driver’s seat. This purpose-built tool helps customers like you leverage partner Differentiation achievements to move forward with confidence as you start your next project.This new “How to find the right Google Cloud Partner” video shows you how to create a shortlist of potential partners by Region, and based on 14 different strategic solution categories or 100+ Expertise designations.To find a partner that meets your specific needs, or complements your capable team, look no further than Partner Advantage’s Differentiation framework and share in our congratulations to some partners that have achieved Specialization the past few quarters.Related ArticleStanding out to customers through the Partner Differentiation journeyLearn how Google Cloud Partner Advantage partners help customers solve real-world business challengesRead Article

  • Show off your cloud skills by completing the #GoogleClout weekly challenge
    by (Training & Certifications) on July 6, 2022 at 4:00 pm

    Who’s up for a challenge? It’s time to show off your #GoogleClout!Starting today, check in every Wednesday to unlock a new cloud puzzle that will test your cloud skills against participants worldwide. Stephanie Wong’s previous record is 5 minutes, can you complete the new challenge in 4?#GoogleClout ChallengeThe #GoogleClout challenge is a no-cost weekly 20 minute hands-on challenge. Every Wednesday for the next 10 weeks, a new challenge will be posted on our website. Participants will race against the clock to see how quickly they can complete the challenge. Attempt the 20 minute challenge as many times as you want. The faster you go, the higher your score!How it worksTo participate, follow these four simple steps:Enroll - Go to our website, click the link to the weekly challenge, and enroll in the quest using your Google Cloud Skills Boost account. Play - Attempt the challenge as many times as you want. Remember the faster you are, the higher your score!Share - Share your score card on Twitter/LinkedIn using #GoogleCloutWin - Complete all 10 weekly challenges to earn exclusive #GoogleClout badgesReady to get started?Take the #GoogleClout challenge today!Related ArticleEarn Google Cloud swag when you complete the #LearnToEarn challengeEarn swag with the Google Cloud #LearnToEarn challengeRead Article

  • Earn Google Cloud swag when you complete the #LearnToEarn challenge
    by (Training & Certifications) on June 27, 2022 at 4:00 pm

    The MLOps market is expected to grow to around $700m by 20251. With the Google Cloud Professional Data Engineer certification topping the list of highest paying IT certifications in 20212, there has never been a better time to grow your data and ML skills with Google Cloud. Introducing the Google Cloud #LearnToEarn challenge Starting today, you’re invited to join the data and ML #LearnToEarn challenge- a high-intensity workout for your brain.  Get the ML, data, and AI skills you need to drive speedy transformation in your current and future roles with no-cost access to over 50 hands-on labs on Google Cloud Skills Boost. Race the clock with players around the world, collect badges, and earn special swag! How to complete the #LearnToEarn challenge?The challenge will begin with a core data analyst learning track. Then each week you’ll get new tracks designed to help you explore a variety of career paths and skill sets. Keep an eye out for trivia and flash challenges too!  As you progress through the challenge and collect badges, you’ll qualify for rewards at each step of your journey. But time and supplies are limited - so join today and complete by July 19! What’s involved in the challenge? Labs range from introductory to expert level. You’ll get hands-on experience with cutting edge tech like Vertex AI and Looker, plus data differentiators like BigQuery, Tensorflow, integrations with Workspace, and AutoML Vision. The challenge starts with the basics, then gets gradually more complex as you reach each milestone. One lab takes anywhere from ten minutes to about an hour to complete. You do not have to finish all the labs at once - but do keep an eye on start and end dates. Ready to take on the challenge?Join the #LearnToEarn challengetoday!1. IDC, Market Analysis Perspective: Worldwide AI Life-Cycle Software, September 20212. Skillsoft Global Knowledge, 15 top-paying IT certifications list 2021, August 2021

  • General availability: Edge Secured-Core for Windows IoT
    by Azure service updates on June 22, 2022 at 4:00 pm

    Edge Secured-Core is a certification program that extends the Secured-Core label into IoT and Edge devices.

  • Google helps Indonesia advance education on cloud, machine learning, and mobile development through Bangkit academy
    by (Training & Certifications) on June 16, 2022 at 4:00 pm

    Indonesia is leading the way for digital transformation in Southeast Asia. According to Google’s e-Conomy South East Asia report, the country’s 2030 Gross Merchandise Value - the value of online retailing to consumers -  could be twice the value of the whole of Southeast Asia today.  This growth means that many companies need more qualified IT graduates and employees with digital skills than they have today. Fast-growing tech companies need more qualified IT graduates, and employees with digital skills. According to the World Bank, Indonesia needs an additional nine million people with digital skills by 2030. The shortage of technical talent reiterates the need to invest in a reliable skills pipeline. Following years of digital talent developments in Indonesia, Google has become a supporter of Bangkit, an academy designed to produce high-caliber technical talent for Indonesian technology companies and startups. Bangkit has facilitated a multi-stakeholder collaboration between Google, government, industry, and universities across Indonesia. Last year, the President of Indonesia and the Ministry of Education and Culture, Research, and Technology, acknowledged Bangkit’s significant impact, with 3,000 students completing nearly 15,000 courses and specialisations. Building on last year’s success, Bangkit started its 2022 program in February, offering three learning paths to students:Cloud computing with Google Cloud, preparing students for the Google Associate Cloud Engineer certification. Some of the course components are also available online Mobile development with Android, preparing students for the Google Associate Android Developer exam. An online version is available here. Machine learning with Tensorflow, getting students ready to take the Tensorflow Developer certification. Some of the online courses are available here for others.Bangkit 2022 has enrolled 3,100 university students who will take a five month study course, obtaining university study credit, as well as industry certifications. The program accepts diverse cohorts of people who are passionate about preparing for a tech career in the near future, with support and encouragement for women, people with disabilities, and students from across Indonesia to apply. Since its pilot in 2019, Bangkit has been guided by three principles:  Industry-led: provides curriculum and instructors from industry experts, including Google, GoTo and Traveloka. Instructors include key figures such as Laurence Moroney (Google, Lead AI Advocate), Google Developer Experts, and other committed professionals. Immersive: combines online learning methods conducted in both individual and group settings.  Interdisciplinary: contains knowledge and best practices in tech, soft skills, and English to provide complete career readiness. The program runs from February to July 2022, and has a 900-hour curriculum throughout the 18-week learning experience. Benefits for students participating in Bangkit include:Study credit conversion Job opportunities at our career fairGoogle Cloud, TensorFlow and AAD exam vouchersIncubation funds and mentorship support from industryTowards the end of Bangkit 2022, students will team up for the Capstone Project challenge to propose solutions to some of the nation’s most pressing problems, such as environmentalism, accessibility, and more. The top 15 teams will be selected to receive funding to incubate their capstone projects. These education and career-preparedness offerings are provided at no cost.Google is partnering with industry, governments, universities, and employers to help meet the skill demands of today. From supporting the State of Ohio to offer tech skills to residents, to working with the University of Minnesota-Rochester to create a customized health sciences degree program, Google is here to help our partners prepare those they serve for a cloud-first world.

  • Unveiling the 2021 Google Cloud Partner of the Year Award Winners
    by (Training & Certifications) on June 14, 2022 at 3:50 pm

    It’s time to celebrate! Join us in congratulating the 2021 Google Cloud Partner of the Year Award winners. As cloud computing and emerging technologies improve how we connect, share information, and conduct business, these partners helped customers turn challenges into opportunities. We’re proud to work alongside our partners and support customers as they innovate their businesses and accelerate their digital transformations. Congratulations to these winners for their creative spirit, collaborative drive, and customer-first approach; we are proud to recognize you and to call you our partners!Kudos to the 2021 winners:We're proud, grateful, and—above all—excited for what's next. As our network of partners continues to grow, we invite you to learn more about the Google Cloud Partner Advantage Program and how you can get involved by visiting our partner page.Related ArticleCelebrating the winners of the 2021 Google Cloud Customer AwardsCustomers have won Google Cloud Awards for innovation, excellence and transformation during another exciting year in the cloud.Read Article

  • Google Cloud supports higher education with Cloud Digital Leader program
    by (Training & Certifications) on June 8, 2022 at 4:00 pm

    College and university faculty can now easily teach cloud literacy and digital transformation with the Cloud Digital Leader track, part of the Google Cloud career readiness program. The new track is available for eligible faculty who are preparing their students for a cloud-first workforce. As part of the track, students will build their cloud literacy and learn the value of Google Cloud in driving digital transformation, while also preparing for the Cloud Digital Leader certification exam. Apply today!Cloud Digital Leader career readiness trackThe Cloud Digital Leader career readiness track is designed to equip eligible faculty with the resources needed to prepare their students for the Cloud Digital Leader certification. This Google Cloud certification requires no previous cloud computing knowledge or hands-on experience. The training path enables students to build cloud literacy and learn how to evaluate the capabilities of Google Cloud in preparation for future job roles. The curriculumFaculty members can access this curriculum as part of the Google Cloud Career Readiness program. Faculty from eligible institutions can apply to lead students through the no-cost  program which provides access to the four-course on-demand training, hands-on practice to supplement the learning, and additional exam prep resources. Students who complete the entire program are eligible to apply for a certification exam discount. The Cloud Digital Leader track is the third program available for classroom use, joining the Associate Cloud Engineer and Data Analyst tracks. Cloud resources for your classroomReady to get started? Apply today to access the Cloud Digital Leader career readiness track for your classroom. Read the eligibility criteria for faculty. You can preview the course content at no cost.Related ArticleRead Article

  • Why IT leaders choose Google Cloud certification for their teams
    by (Training & Certifications) on May 27, 2022 at 4:00 pm

    As organizations worldwide move to the cloud, it’s become increasingly crucial to provide teams with confidence and the right skills to get the most out of cloud technology. With demand for cloud expertise exceeding the supply of talent, many businesses are looking for new, cost-effective ways to keep up.When ongoing skills gaps stifle productivity, it can cost you money. In Global Knowledge’s 2021 report, 42% of IT decision-makers reported having “difficulty meeting quality objectives” as a result of skills gaps, and, in an IDC survey cited in the same Global Knowledge report, roughly 60% of organizations described a lack of skills as a cause for lost revenue. In today’s fast-paced environment, businesses with cloud knowledge are in a stronger position to achieve more. So what more could you be doing to develop and showcase cloud expertise in your organization?Google Cloud certification helps validate your teams’ technical capabilities, while demonstrating your organization’s commitment to the fast pace of the cloud.What certification offers that experience doesn’t is peace of mind. I’m not only talking about self-confidence, but also for our customers. Having us certified, working on their projects, really gives them peace of mind that they’re working with a partner who knows what they’re doing. Niels Buekers, managing director at Fourcast BVBAWhy get your team Google Cloud certified?When you invest in cloud, you also want to invest in your people. Google Cloud certification equips your teams with the skills they need to fulfill your growing business. Speed up technology implementation Organizations want to speed up transformation and make the most of their cloud investment.Nearly 70% of partner organizations recognize that certifications speed up technology implementation and lead to greater staff productivity, according to a May 2021 IDC Software Partner Survey. The same report also found that 85% of partner IT consultants agree that “certification represents validation of extensive product and process knowledge.”Improve client satisfaction and successGetting your teams certified can be the first step to improving client satisfaction and success. Research of more than 600 IT consultants and resellers in a September 2021 IDC study found that “fully certified teams met 95% of their clients’ objectives, compared to a 36% lower average net promoter score for partially certified teams.”Motivate your team and retain talentIn today’s age of the ongoing Great Resignation, IT leaders are rightly concerned about employee attrition, which can result in stalled projects, unmet business objectives, and new or overextended team members needing time to ramp up. In other words, attrition hurts.But when IT leaders invest in skills development for their teams, talent tends to stick around. According to a business value paper from IDC, comprehensive training leads to 133% greater employee retention compared to untrained teams. When organizations help people develop skills, people stay longer, morale improves, and productivity increases. Organizations wind up with a classic win-win situation as business value accelerates. Finish your projects ahead of scheduleWith your employees feeling supported and well equipped to handle workloads, they can also stay engaged and innovate faster with Google Cloud certifications. “Fully certified teams are 35% more likely than partially certified teams to finish projects ahead of schedule, typically reaching their targets more than two weeks early,” according to research in an IDC InfoBrief.Certify your teamsGoogle Cloud certification is more than a seal of approval – it can be your framework to increase staff tenure, improve productivity, satisfy your customers, and obtain other key advantages to launch your organization into the future. Once you get your teams certified, they’ll join a trusted network of IT professionals in the Google Cloud certified community, with access to resources and continuous  learning opportunities.To discover more about the value of certification for your team, download the IDC paper today and invite your teams to join our upcoming webinar and get started on their certification journey.Related ArticleHow to become a certified cloud professionalHow to become a certified cloud professionalRead Article

  • Public preview: Azure Communication Services APIs in US Government cloud
    by Azure service updates on May 24, 2022 at 4:00 pm

    Use Azure Communication Services APIs for voice, video, and messaging in US Government cloud.

  • New Research shows Google Cloud Skill Badges build in-demand expertise
    by (Training & Certifications) on May 19, 2022 at 4:00 pm

    We live in a digital world, and the future of work is in the cloud. In fact, 61% of HR professionals believe hiring developers will be their biggest challenge in the years ahead.1During your personal cloud journey, it’s critical to build and validate your skills in order to evolve with the rapidly changing technology and business landscape.That is why we created skill badges - a micro-credential issued by Google Cloud to demonstrate your cloud competencies and your commitment to staying on top of the latest Google Cloud solutions and products. To better understand the value of skills badges to holders’ career goals, we commissioned a third-party research firm, Gallup, to conduct a global study on the impact of Google Cloud skill badges. Skill badge earners overwhelmingly gain value from and are satisfied with Google Cloud skill badges.Skill badge holders state that they feel well equipped with the variety of skills gained through skill badge attainment, that they are more confident in their cloud skills, are excited to promote their skills to their professional network, and are able to leverage skill badges to achieve future learning goals, including a Google Cloud certification. 87% agree skill badges provided real-world, hands-on cloud experience286% agree skill badges helped build their cloud competencies2 82% agree skill badges helped showcase growing cloud skills290% agree that skill badges helped them in their Google Cloud certification journey274% plan to complete a Google Cloud certification in the next six months2Join thousands of other learners and take your career to the next level with Google Cloud skill badges.To learn more, download the Google Cloud Skills Badge Impact Report at no cost.1. McKinsey Digital,Tech Talent Technotics: Ten new realities for finding, keeping, and developing talent , 20222. Gallup Study, sponsored by Google Cloud Learning: "Google Cloud Skill Badge Impact report", May 2022Related ArticleHow to prepare for — and ace — Google’s Associate Cloud Engineer examThe Cloud Engineer Learning Path is an effective way to prepare for the Associate.Read Article

  • If you are looking for a Job relating to azure try r/AzureJobs
    by /u/whooyeah (Microsoft Azure Certifications) on May 5, 2022 at 10:41 am

    submitted by /u/whooyeah [link] [comments]

  • How we’re keeping up with the increasing demand for the Google Workspace Administrator role
    by (Training & Certifications) on April 29, 2022 at 4:00 pm

    We’ve rebranded the Professional Collaboration Engineer Certification to the Professional Google Workspace Administrator Certification and updated the learning path. To mark the moment, we sat down with Erik Geerdink from SADA to talk about how the Google Workspace Administrator role and demand for this skill set has changed over the years. Erik is a Deployment Engineer and Pod Lead. He holds a Professional Google Workspace Administrator Certificationand has worked with Google Workspace for more than six years.What was it like starting out as a Google Workspace Administrator?When I first started, I was doing Google Workspace Support as a Level 2 Administrator. At that time, there were fewer admin controls for Google Workspace. There were calendar issues, some mail routing issues, maybe a little bit of data loss prevention (DLP), but that was about it.About 5 years ago, I transferred into Google Deployment and really got to see all that went on with deploying Google Workspace and troubleshooting advanced issues. Since then, what you can accomplish in the admin console has really taken off. There’s still Gmail and Calendar configurations, but the security posture that Google offers now—they’ve really upped their game. The extent of DLP isn’t just Gmail and Drive anymore; it extends into Chat. And we’re doing a lot of Context-Aware Access to make sure users only have as much access as IT compliance allows in our deployments. Calendar interop, which allows users in different systems to see availability, has been a big area of focus as well.How has the Google Workspace Administrator role changed over the last few years? It used to be that you were a systems admin who also took care of the Google portion as well. But with Google Workspace often being the entry point to Google Cloud, we’ve had to become more knowledgeable about the platform as a whole. Now, we not only do training with Google Workspace admins for our projects, we also talk to their Google Cloud counterparts as well.Google Workspace is changing all the time, and the weekly updates that Google sends out are great. As an engineering team, every week on Wednesday, we review each Google Workspace update that’s come out to understand how they affect us, our clients, and our upcoming projects. There’s a lot to it. It’s not just a little admin role anymore. It’s a strategic technology role.What motivated you to get Google Cloud Certified?I spent the first 15 years of my career doing cold server room roles, and I knew I had to get cloudy. I wanted to work with Google, and it was a no-brainer given the organization’s reputation for innovation. I knew this certification exam was the one to get me in the door. The Professional Google Workspace Administrator certification was required to level up as an administrator and to make sure our business kept getting the most out of Google Workspace. How has the demand for certified Google Workspace Admins changed recently? Demand has absolutely gone up. We are growing so much, and we need more professionals with this certification. It’s required for all of our new hires. When I see a candidate that already has the certification, they go to the top of the list. I’ll skip all the other resumes to find someone who has this experience. We’re searching globally—not just in North America—to find the right people to fill this strategic role.Explore the new learning pathIn order to keep up with the changing demands of this role, we’ve rebranded the Professional Collaboration Engineer Certification to the Professional Google Workspace Administrator Certification and updated the learning path. The learning path now aligns with the improved admin console. We’ve replaced the readings with videos for a better learning experience: in total, we added 17 new videos across 5 courses to match new features and functionality. Earn the Professional Google Workspace Administrator Certification to distinguish yourself among your peers and showcase your skills.Related ArticleUnlock collaboration with Google Workspace EssentialsIntroducing Google Workspace Essentials Starter, a no-cost offering to bring modern collaboration to work.Read Article

  • General availability: Azure Database for PostgreSQL - Hyperscale (Citus) now FedRAMP High compliant
    by Azure service updates on March 30, 2022 at 4:01 pm

    Azure Database for PostgreSQL – Hyperscale (Citus), a managed service running the open-source Postgres database on Azure is now compliant with FedRAMP High.

  • General availability: Asset certification in Azure Purview data catalog
    by Azure service updates on February 28, 2022 at 5:00 pm

    Data stewards can now certify assets that meet their organization's quality standards in the Azure Purview data catalog

  • Generally available: Azure Database for PostgreSQL – Hyperscale (Citus) new certifications
    by Azure service updates on February 16, 2022 at 5:00 pm

    New compliance certifications are now available on Azure Database for PostgreSQL – Hyperscale (Citus), a managed service running the open-source Postgres database on Azure.

  • General availability: Azure Database for PostgreSQL – Hyperscale (Citus) new certifications
    by Azure service updates on February 2, 2022 at 5:00 pm

    New compliance certifications are now available on Azure Database for PostgreSQL – Hyperscale (Citus), a managed service running the open-source Postgres database on Azure.

  • Generally available: Azure Database for PostgreSQL – Hyperscale (Citus): New certifications
    by Azure service updates on January 19, 2022 at 5:00 pm

    New compliance certifications are now available on Azure Database for PostgreSQL – Hyperscale (Citus), a managed service running the open-source Postgres database on Azure.

  • Azure Database for PostgreSQL – Hyperscale (Citus): New toolkit certifications generally available
    by Azure service updates on December 15, 2021 at 5:00 pm

    New Toolkit certifications are now available on Azure Database for PostgreSQL – Hyperscale (Citus), a managed service running the open-source Postgres database on Azure.

  • Azure VMware Solution achieves FedRAMP High Authorization
    by Azure service updates on September 15, 2021 at 11:53 pm

    With this certification, U.S. government and public sector customers can now use Azure VMware Solution as a compliant FedRAMP cloud computing environment, ensuring it meets the demanding standards for security and information protection.

  • Azure expands HITRUST certification across 51 Azure regions
    by Azure service updates on August 23, 2021 at 9:38 pm

    Azure expands offering and region coverage to Azure customers with its 2021 HITRUST validated assessment.

  • Azure Database for PostgreSQL - Hyperscale (Citus) now compliant with additional certifications
    by Azure service updates on June 9, 2021 at 4:00 pm

    New certifications are now available for Hyperscale (Citus) on Azure Database for PostgreSQL, a managed service running the open-source Postgres database on Azure.

  • Azure expands PCI DSS certification
    by Azure service updates on March 15, 2021 at 5:02 pm

    You can now leverage Azure’s Payment Card Industry Data Security Standard (PCI DSS) certification across all live Azure regions.

  • 172 Azure offerings achieve HITRUST certification
    by Azure service updates on February 3, 2021 at 10:24 pm

    Azure expands its depth of offerings to Azure customers with its latest independent HITRUST assessment.

  • Azure achieves its first PCI 3DS certification
    by Azure service updates on February 3, 2021 at 10:24 pm

    Azure’s PCI 3DS Attestation of Compliance, PCI 3DS Shared Responsibility Matrix, and PCI 3DS whitepaper are now available.

  • Azure Databricks Achieves FedRAMP High Authorization on Microsoft Azure Government
    by Azure service updates on November 25, 2020 at 5:00 pm

    With this certification, customers can now use Azure Databricks to process the U.S. government’s most sensitive, unclassified data in cloud computing environments, including data that involves the protection of life and financial assets.

  • New SAP HANA Certified Memory-Optimized Virtual Machines now available
    by Azure service updates on November 12, 2020 at 5:01 pm

    We are expanding our SAP HANA certifications, enabling you to run production SAP HANA workloads on the Edsv4 virtual machines sizes.

  • Azure achieves Service Organization Controls compliance for 14 additional services
    by Azure service updates on November 11, 2020 at 5:10 pm

    Azure gives you some of the industry’s broadest certifications for the critical SOC 1, 2, and 3 compliance offering, which is widely used around the world.

  • Announcing the unified Azure Certified Device program
    by Azure service updates on September 22, 2020 at 4:05 pm

    A unified and enhanced Azure Certified Device program was announced at Microsoft Ignite, expanding on previous Microsoft certification offerings that validate IoT devices meet specific capabilities and are built to run on Azure. This program offers a low-cost opportunity for device builders to increase visibility of their products while making it easy for solution builders and end customers to find the right device for their IoT solutions.

  • IoT Security updates for September 2020
    by Azure service updates on September 22, 2020 at 4:05 pm

    New Azure IoT Security product updates include improvements around monitoring, edge nesting and the availability of Azure Defender for IoT.

  • Azure Certified for Plug and Play is now available
    by Azure service updates on August 27, 2020 at 12:21 am

    IoT Plug and Play device certification is now available from Microsoft as part of the Azure Certified device program.

  • Azure France has achieved GSMA accreditation
    by Azure service updates on August 6, 2020 at 5:45 pm

    Azure has added an important compliance offering for telecommunications in France, the Global System for Mobile Communications Association (GSMA) Security Accreditation Scheme for Subscription Management (SAS-SM).

  • Azure Red Hat OpenShift is now ISO 27001 certified
    by Azure service updates on July 21, 2020 at 4:00 pm

    To help you meet your compliance obligations across regulated industries and markets worldwide, Azure Red Hat OpenShift is now ISO 27001 certified.

  • Azure Lighthouse updates—April 2020
    by Azure service updates on June 1, 2020 at 4:00 pm

    Several critical updates have been made to Azure Lighthouse, including FEDRAMP certification, delegation opt-out, and Azure Backup reports.

  • Azure NetApp Files—New certifications, increased SLA, expanded regional availability
    by Azure service updates on May 19, 2020 at 4:00 pm

    The SLA guarantee for Azure NetApp Files has increased to 99.99 percent. In addition, NetApp Files is now HIPAA and FedRAMP certified, and regional availability has been increased.

  • Kubernetes on Azure Stack Hub in GA
    by Azure service updates on February 25, 2020 at 5:00 pm

    We now support Kubernetes cluster deployment on Azure Stack Hub, a certified Kubernetes Cloud Provider. Install Kubernetes using Azure Resource Manager templates generated by ACS Engine on Azure Stack Hub.

  • Azure Firewall Spring 2020 updates
    by Azure service updates on February 19, 2020 at 5:00 pm

    Excerpt: Azure Firewall is now ICSA Labs certified. In addition, several key Azure Firewall capabilities have recently been released into general availability (GA) and preview.

  • Azure IoT C# and Java SDKs release new long-term support (LTS) branches
    by Azure service updates on February 14, 2020 at 5:00 pm

    The Azure IoT Java and C# SDKs have each now released new long-term support (LTS) branches.

  • HPC Cache receives ISO certifications, adds stopping feature, and new region
    by Azure service updates on February 11, 2020 at 5:00 pm

    Azure HPC Cache has received new SO27001, 27018 and 27701 certifications, adds new features to manage storage caching in performance-driven workloads and expands service access to Korea Central.

  • Azure Blueprint for FedRAMP High now available in new regions
    by Azure service updates on February 3, 2020 at 5:00 pm

    The Azure Blueprint for FedRAMP High is now available in both Azure Government and Azure Public regions. This is in addition to the Azure Blueprint for FedRAMP Moderate released in November, 2019.

  • Azure Databricks Is now HITRUST certified
    by Azure service updates on January 22, 2020 at 5:01 pm

    Azure Databricks is now certified for the HITRUST Common Security Framework (HITRUST CSF®), the most widely coveted security accreditation for the healthcare industry. With this certification, health care customers can now use volumes of clinical data to drive innovation using Azure Databricks, without any worry about security and risk.

  • Microsoft plans to establish new cloud datacenter region in Qatar
    by Azure service updates on December 11, 2019 at 8:00 pm

    Microsoft recently announced plans to establish a new cloud datacenter region in Qatar to deliver its intelligent, trusted cloud services and expand the Microsoft global cloud infrastructure to 55 cloud regions in 20 countries.

  • Azure NetApp Files HANA certification and new region availability
    by Azure service updates on November 4, 2019 at 5:00 pm

    Azure NetApp Files , one of the fastest growing bare-metal Azure services, has achieved SAP HANA certification for both scale-up and scale-out deployments.

  • Azure achieves TrueSight certification
    by Azure service updates on September 23, 2019 at 5:00 pm

    Azure achieved certification for TruSight, an industry-backed, best-practices third-party assessment utility.

  • IoT Plug and Play Preview is now available
    by Azure service updates on August 21, 2019 at 4:00 pm

    With IoT Plug and Play Preview, solution developers can start using Azure IoT Central to build solutions that integrate seamlessly with IoT devices enabled with IoT Plug and Play.

  • View linked GitHub activity from the Kanban board
    by Azure service updates on June 21, 2019 at 5:00 pm

    We continue to enhance the Azure Boards integration with GitHub. Now you can get information of your linked GitHub commits, pull requests and issues on your Kanban board. This information will give you a quick sense of where an item is at and allow you to directly navigate out to the GitHub commit, pull request, or issue for more details.

  • Video Indexer is now ISO, SOC, HiTRUST, FedRAMP, HIPAA, PCI certified
    by Azure service updates on April 2, 2019 at 9:08 pm

    Video Indexer has received new certifications to fit with enterprise certification requirements.

  • Video Indexer is now ISO, SOC, HiTRUST, FedRAMP, HIPAA, PCI certified
    by Azure service updates on March 26, 2019 at 9:06 pm

    Video Indexer has received new certifications to fit with enterprise certification requirements.

  • Azure South Africa regions are now available
    by Azure service updates on March 7, 2019 at 6:00 pm

    Azure services are available from new cloud regions in Johannesburg (South Africa North) and Cape Town (South Africa West), South Africa. The launch of these regions is a milestone for Microsoft.

  • Azure DevOps Roadmap update for 2019 Q1
    by Azure service updates on February 14, 2019 at 8:22 pm

    We updated the Features Timeline to provide visibility on our key investments for this quarter.

  • Azure Stack—FedRAMP High documentation now available
    by Azure service updates on November 1, 2018 at 7:00 pm

    FedRAMP High documentation is now available for Azure Stack customers.

  • Kubernetes on Azure Stack in preview
    by Azure service updates on November 1, 2018 at 7:00 pm

    We now support Kubernetes cluster deployment on Azure Stack, a certified Kubernetes Cloud Provider. Install Kubernetes using Azure Resource Manager templates generated by ACS-Engine on Azure Stack.

  • Azure Stack Infrastructure—compliance certification guidance
    by Azure service updates on November 1, 2018 at 7:00 pm

    We have created documentation to describe how Azure Stack infrastructure satisfies regulatory technical controls for PCI-DSS and CSA-CCM.

  • Logic Apps is ISO, HIPAA, CSA STAR, PCI DSS, SOC, and EU Model Clauses compliant
    by Azure service updates on July 18, 2017 at 5:05 pm

    The Logic Apps feature of Azure App Service is now ISO/IEC 27001, ISO/IEC 27018, HIPAA, CSA STAR, PCI DSS, SOC, and EU Model Clauses compliant.

  • Apache Kafka on HDInsight with Azure Managed Disks
    by Azure service updates on June 30, 2017 at 3:44 pm

    We're pleased to announce Apache Kafka with Azure Managed Disks Preview on the HDInsight platform. Users will now be able to deploy Kafka clusters with managed disks straight from the Azure portal, with no signup necessary.

  • Azure Backup for Windows Server system state
    by Azure service updates on June 14, 2017 at 10:54 pm

    Customers will now be able to to perform comprehensive, secure, and reliable Windows Server recoveries. We Will be extending the data backup capabilities of the Azure Backup agent so that it will now integrate with the Windows Server Backup feature, available natively on every Windows Server.

  • Azure Data Catalog is ISO, CSA STAR, HIPAA, EU Model Clauses compliant
    by Azure service updates on March 7, 2017 at 12:00 am

    Azure Data Catalog is ISO/IEC 27001, ISO/IEC 27018, HIPAA, CSA STAR, and EU Model Clauses compliant.

  • Azure compliance: Azure Cosmos DB certified for ISO 27001, HIPAA, and the EU Model Clauses
    by Azure service updates on March 25, 2016 at 10:00 am

    The Azure Cosmos DB team is excited to announce that Azure Cosmos DB is ISO 27001, HIPAA, and EU Model Clauses compliant.

  • Compliance updates for Azure public cloud
    by Azure service updates on March 16, 2016 at 9:24 pm

    We’re adding more certification coverage to our Azure portfolio, so regulated customers can take advantage of new services.

  • Protect and recover your production workloads in Azure
    by Azure service updates on October 2, 2014 at 5:00 pm

    With Azure Site Recovery, you can protect and recover your production workloads while saving on capital and operational expenditures.

  • ISO Certification expanded to include more Azure services
    by Azure service updates on January 17, 2014 at 1:00 am

    Azure ISO Certification expanded to include SQL Database, Active Directory, Traffic Manager, Web Sites, BizTalk Services, Media Services, Mobile Services, Service Bus, Multi-Factor Authentication, and HDInsight.


Top-paying Cloud certifications:

Google Certified Professional Cloud Architect — $175,761/year
AWS Certified Solutions Architect – Associate — $149,446/year
Azure/Microsoft Cloud Solution Architect – $141,748/yr
Google Cloud Associate Engineer – $145,769/yr
AWS Certified Cloud Practitioner — $131,465/year
Microsoft Certified: Azure Fundamentals — $126,653/year
Microsoft Certified: Azure Administrator Associate — $125,993/year

Djamgatech: Multilingual and Platform Independent Cloud Certification and Education App for AWS, Azure, Google Cloud

Djamgatech: AI Driven Continuing Education and Certification Preparation Platform

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The Cloud Education Certification App is an EduFlix App for AWS, Azure, Google Cloud Certification Prep [Android, iOS]

Technology is changing and is moving towards the cloud. The cloud will power most businesses in the coming years and is not taught in schools. How do we ensure that our kids and youth and ourselves are best prepared for this challenge?

Building mobile educational apps that work offline and on any device can help greatly in that sense.

The ability to tab on a button and learn the cloud fundamentals and take quizzes is a great opportunity to help our children and youth to boost their job prospects and be more productive at work.

The App covers the following certifications :
AWS Cloud Practitioner Exam Prep CCP CLF-C01, Azure Fundamentals AZ 900 Exam Prep, AWS Certified Solution Architect Associate SAA-C02 Exam Prep, AWS Certified Developer Associate DVA-C01 Exam Prep, Azure Administrator AZ 104 Exam Prep, Google Associate Cloud Engineer Exam Prep, Data Analytics for AWS DAS-C01, Machine Learning for AWS and Google, AWS Certified Security – Specialty (SCS-C01), AWS Certified Machine Learning – Specialty (MLS-C01), Google Cloud Professional Machine Learning Engineer and more… [Android, iOS]

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The App covers the following cloud categories:

AWS Technology, AWS Security and Compliance, AWS Cloud Concepts, AWS Billing and Pricing , AWS Design High Performing Architectures, AWS Design Cost Optimized Architectures, AWS Specify Secure Applications And Architectures, AWS Design Resilient Architecture, Development With AWS, AWS Deployment, AWS Security, AWS Monitoring, AWS Troubleshooting, AWS Refactoring, Azure Pricing and Support, Azure Cloud Concepts , Azure Identity, governance, and compliance, Azure Services , Implement and Manage Azure Storage, Deploy and Manage Azure Compute Resources, Configure and Manage Azure Networking Services, Monitor and Backup Azure Resources, GCP Plan and configure a cloud solution, GCP Deploy and implement a cloud solution, GCP Ensure successful operation of a cloud solution, GCP Configure access and security, GCP Setting up a cloud solution environment, AWS Incident Response, AWS Logging and Monitoring, AWS Infrastructure Security, AWS Identity and Access Management, AWS Data Protection, AWS Data Engineering, AWS Exploratory Data Analysis, AWS Modeling, AWS Machine Learning Implementation and Operations, GCP Frame ML problems, GCP Architect ML solutions, GCP Prepare and process data, GCP Develop ML models, GCP Automate & orchestrate ML pipelines, GCP Monitor, optimize, and maintain ML solutions, etc.. [Android, iOS]

Cloud Education and Certification

The App covers the following Cloud Services, Framework and technologies:

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Azure: Virtual Machines, Azure App Services, Azure Container Instances (ACI), Azure Kubernetes Service (AKS), and Windows Virtual Desktop, Virtual Networks, VPN Gateway, Virtual Network peering, and ExpressRoute, Container (Blob) Storage, Disk Storage, File Storage, and storage tiers, Cosmos DB, Azure SQL Database, Azure Database for MySQL, Azure Database for PostgreSQL, and SQL Managed Instance, Azure Marketplace, Azure consumption-based mode, management groups, resources and RG, Geographic distribution concepts such as Azure regions, region pairs, and AZ Internet of Things (IoT) Hub, IoT Central, and Azure Sphere, Azure Synapse Analytics, HDInsight, and Azure Databricks, Azure Machine Learning, Cognitive Services and Azure Bot Service, Serverless computing solutions that include Azure Functions and Logic Apps, Azure DevOps, GitHub, GitHub Actions, and Azure DevTest Labs, Azure Mobile, Azure Advisor, Azure Resource Manager (ARM) templates, Azure Security, Privacy and Workloads, General security and network security, Azure security features, Azure Security Centre, policy compliance, security alerts, secure score, and resource hygiene, Key Vault, Azure Sentinel, Azure Dedicated Hosts, Concept of defense in depth, NSG, Azure Firewall, Azure DDoS protection, Identity, governance, Conditional Access, Multi-Factor Authentication (MFA), and Single Sign-On (SSO),Azure Services, Core Azure architectural components, Management Groups, Azure Resource Manager,

Google Cloud Platform: Compute Engine, App Engine, BigQuery, Bigtable, Pub/Sub, flow logs, CORS, CLI, pod, Firebase, Cloud Run, Cloud Firestore, Cloud CDN, Cloud Storage, Persistent Disk, Kubernetes engine, Container registry, Cloud Load Balancing, Cloud Dataflow, gsutils, Cloud SQL,

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2022 AWS Cloud Practitioner Exam Preparation

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Invest in your future today by enrolling in this Azure Fundamentals - Microsoft Azure Certification and Training ebook below. This Azure Fundamentals Exam Prep Book will prepare you for the Azure Fundamentals AZ900 Certification Exam.


Features:
– Practice exams
– 1000+ Q&A updated frequently.
– 3+ Practice exams per Certification
– Scorecard / Scoreboard to track your progress
– Quizzes with score tracking, progress bar, countdown timer.
– Can only see scoreboard after completing the quiz.
– FAQs for most popular Cloud services
– Cheat Sheets
– Flashcards
– works offline

Note and disclaimer: We are not affiliated with AWS, Azure, Microsoft or Google. The questions are put together based on the certification study guide and materials available online. The questions in this app should help you pass the exam but it is not guaranteed. We are not responsible for any exam you did not pass.

Important: To succeed with the real exam, do not memorize the answers in this app. It is very important that you understand why a question is right or wrong and the concepts behind it by carefully reading the reference documents in the answers.

Top 50 Google Certified Cloud Professional Architect Exam Questions and Answers Dumps

Azure Administrator AZ-104 Exam Questions and Answers Dumps

You can translate the content of this page by selecting a language in the select box.

Top 50 Google Certified Cloud Professional Architect Exam Questions and Answers Dumps

GCP, Google Cloud Platform, has been a game changer in the tech industry. It allows organizations to build and run applications on Google’s infrastructure. The GCP platform is trusted by many companies because it is reliable, secure and scalable. In order to become a GCP certified professional, one must pass the GCP Professional Architect exam. The GCP Professional Architect exam is not easy, but with the right practice questions and answers dumps, you can pass the GCP PA exam with flying colors.

Google Certified Cloud Professional Architect is the top high paying certification in the world: Google Certified Professional Cloud Architect Average Salary – $175,761

The Google Certified Cloud Professional Architect Exam assesses your ability to:

  • Design and plan a cloud solution architecture
  • Manage and provision the cloud solution infrastructure
  • Design for security and compliance
  • Analyze and optimize technical and business processes
  • Manage implementations of cloud architecture
  • Ensure solution and operations reliability
  • Designing and planning a cloud solution architecture

The Google Certified Cloud Professional Architect covers the following topics:

Designing and planning a cloud solution architecture: 36%

This domain tests your ability to design a solution infrastructure that meets business and technical requirements and considers network, storage and compute resources. It will test your ability to create a migration plan, and that you can envision future solution improvements.

Managing and provisioning a solution Infrastructure: 20%

This domain will test your ability to configure network topologies, individual storage systems and design solutions using Google Cloud networking, storage and compute services.

Designing for security and compliance: 12%

This domain assesses your ability to design for security and compliance by considering IAM policies, separation of duties, encryption of data and that you can design your solutions while considering any compliance requirements such as those for healthcare and financial information.

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Managing implementation: 10%

This domain tests your ability to advise development/operation team(s) to make sure you have successful deployment of your solution. It also tests yours ability to interact with Google Cloud using GCP SDK (gcloud, gsutil, and bq).

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Ensuring solution and operations reliability: 6%

This domain tests your ability to run your solutions reliably in Google Cloud by building monitoring and logging solutions, quality control measures and by creating release management processes.

Analyzing and optimizing technical and business processes: 16%

This domain will test how you analyze and define technical processes, business processes and develop procedures to ensure resilience of your solutions in production.

Below are the Top 50 Google Certified Cloud Professional Architect Exam Questions and Answers Dumps that will help you ace the GCP Professional Architect exam:

You will need to have the three case studies referred to in the exam open in separate tabs in order to complete the exam: Company A , Company B, Company C

Question 1:  Because you do not know every possible future use for the data Company A collects, you have decided to build a system that captures and stores all raw data in case you need it later. How can you most cost-effectively accomplish this goal?

 A. Have the vehicles in the field stream the data directly into BigQuery.

B. Have the vehicles in the field pass the data to Cloud Pub/Sub and dump it into a Cloud Dataproc cluster that stores data in Apache Hadoop Distributed File System (HDFS) on persistent disks.

C. Have the vehicles in the field continue to dump data via FTP, adjust the existing Linux machines, and use a collector to upload them into Cloud Dataproc HDFS for storage.

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D. Have the vehicles in the field continue to dump data via FTP, and adjust the existing Linux machines to immediately upload it to Cloud Storage with gsutil.

ANSWER1:

D

Notes/References1:

D is correct because several load-balanced Compute Engine VMs would suffice to ingest 9 TB per day, and Cloud Storage is the cheapest per-byte storage offered by Google. Depending on the format, the data could be available via BigQuery immediately, or shortly after running through an ETL job. Thus, this solution meets business and technical requirements while optimizing for cost.

Reference: Streaming insertsApache Hadoop and Spark10 tips for building long running cluster using cloud dataproc


We know you like your hobbies and especially coding, We do too, but you should find time to build the skills that’ll drive your career into Six Figures. Cloud skills and certifications can be just the thing you need to make the move into cloud or to level up and advance your career. 85% of hiring managers say cloud certifications make a candidate more attractive. Start your cloud journey with these excellent books below:

Google Certified Cloud Professional Architect is the top high paying certification in the world: Google Certified Professional Cloud Architect Average Salary - $175,761

Question 2: Today, Company A maintenance workers receive interactive performance graphs for the last 24 hours (86,400 events) by plugging their maintenance tablets into the vehicle. The support group wants support technicians to view this data remotely to help troubleshoot problems. You want to minimize the latency of graph loads. How should you provide this functionality?

A. Execute queries against data stored in a Cloud SQL.

B. Execute queries against data indexed by vehicle_id.timestamp in Cloud Bigtable.

C. Execute queries against data stored on daily partitioned BigQuery tables.

D. Execute queries against BigQuery with data stored in Cloud Storage via BigQuery federation.

ANSWER2:

B

Notes/References2:

B is correct because Cloud Bigtable is optimized for time-series data. It is cost-efficient, highly available, and low-latency. It scales well. Best of all, it is a managed service that does not require significant operations work to keep running.

Reference: BigTables time series clusterBigQuery

Question 3: Your agricultural division is experimenting with fully autonomous vehicles. You want your architecture to promote strong security during vehicle operation. Which two architecture characteristics should you consider?

A. Use multiple connectivity subsystems for redundancy. 

B. Require IPv6 for connectivity to ensure a secure address space. 

C. Enclose the vehicle’s drive electronics in a Faraday cage to isolate chips.

D. Use a functional programming language to isolate code execution cycles.

E. Treat every microservice call between modules on the vehicle as untrusted.

F. Use a Trusted Platform Module (TPM) and verify firmware and binaries on boot.

ANSWER3:

E and F

Notes/References3:

E is correct because this improves system security by making it more resistant to hacking, especially through man-in-the-middle attacks between modules.

F is correct because this improves system security by making it more resistant to hacking, especially rootkits or other kinds of corruption by malicious actors.

Reference 3: Trusted Platform Module

Question 4: For this question, refer to the Company A case study.

Which of Company A’s legacy enterprise processes will experience significant change as a result of increased Google Cloud Platform adoption?

A. OpEx/CapEx allocation, LAN change management, capacity planning

B. Capacity planning, TCO calculations, OpEx/CapEx allocation 

C. Capacity planning, utilization measurement, data center expansion

D. Data center expansion, TCO calculations, utilization measurement

ANSWER4:

B

Notes/References4:

B is correct because all of these tasks are big changes when moving to the cloud. Capacity planning for cloud is different than for on-premises data centers; TCO calculations are adjusted because Company A is using services, not leasing/buying servers; OpEx/CapEx allocation is adjusted as services are consumed vs. using capital expenditures.

Reference: Cloud Economics

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Question 5: For this question, refer to the Company A case study.

You analyzed Company A’s business requirement to reduce downtime and found that they can achieve a majority of time saving by reducing customers’ wait time for parts. You decided to focus on reduction of the 3 weeks’ aggregate reporting time. Which modifications to the company’s processes should you recommend?

A. Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.

B. Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.

C. Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.

D. Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.

ANSWER5:

C

Notes/References5:

C is correct because using cellular connectivity will greatly improve the freshness of data used for analysis from where it is now, collected when the machines are in for maintenance. Streaming transport instead of periodic FTP will tighten the feedback loop even more. Machine learning is ideal for predictive maintenance workloads.

Question 6: Your company wants to deploy several microservices to help their system handle elastic loads. Each microservice uses a different version of software libraries. You want to enable their developers to keep their development environment in sync with the various production services. Which technology should you choose?

A. RPM/DEB

B. Containers 

C. Chef/Puppet

D. Virtual machines

ANSWER6:

B

Notes/References6:

B is correct because using containers for development, test, and production deployments abstracts away system OS environments, so that a single host OS image can be used for all environments. Changes that are made during development are captured using a copy-on-write filesystem, and teams can easily publish new versions of the microservices in a repository.

Question 7: Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. You want to support the data upload and collection needs of this sensor network. The receiving infrastructure needs to account for the possibility that the devices may have inconsistent connectivity. Which solution should you design?

A. Have each device create a persistent connection to a Compute Engine instance and write messages to a custom application.

B. Have devices poll for connectivity to Cloud SQL and insert the latest messages on a regular interval to a device specific table. 

C. Have devices poll for connectivity to Cloud Pub/Sub and publish the latest messages on a regular interval to a shared topic for all devices.

D. Have devices create a persistent connection to an App Engine application fronted by Cloud Endpoints, which ingest messages and write them to Cloud Datastore.

ANSWER7:

C

Notes/References7:

C is correct because Cloud Pub/Sub can handle the frequency of this data, and consumers of the data can pull from the shared topic for further processing.

Question 8: Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup. Which two steps should they take?

A. Load logs into BigQuery. 

B. Load logs into Cloud SQL.

C. Import logs into Stackdriver. 

D. Insert logs into Cloud Bigtable.

E. Upload log files into Cloud Storage.

ANSWER8:

A and E

Notes/References8:

A is correct because BigQuery is the fully managed cloud data warehouse for analytics and supports the analytics requirement.

E is correct because Cloud Storage provides the Coldline storage class to support long-term storage with infrequent access, which would support the long-term disaster recovery backup requirement.

References: BigQueryStackDriverBigTableStorage Class: ColdLine

Question 9: You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address. You have verified that the appropriate web response is coming from each instance using the curl command. You want to ensure that the backend is configured correctly. What should you do?

A. Ensure that a firewall rule exists to allow source traffic on HTTP/HTTPS to reach the load balancer. 

B. Assign a public IP to each instance, and configure a firewall rule to allow the load balancer to reach the instance public IP.

C. Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.

D. Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.

ANSWER9:

C

Notes/References9:

C is correct because health check failures lead to a VM being marked unhealthy and can result in termination if the health check continues to fail. Because you have already verified that the instances are functioning properly, the next step would be to determine why the health check is continuously failing.

Reference: Load balancingLoad Balancing Health Checking

Question 10: Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others. Network traffic should flow through the web to the API tier, and then on to the database tier. Traffic should not flow between the web and the database tier. How should you configure the network?

A. Add each tier to a different subnetwork.

B. Set up software-based firewalls on individual VMs. 

C. Add tags to each tier and set up routes to allow the desired traffic flow.

D. Add tags to each tier and set up firewall rules to allow the desired traffic flow.

ANSWER10:

D

Notes/References10:

D is correct because as instances scale, they will all have the same tag to identify the tier. These tags can then be leveraged in firewall rules to allow and restrict traffic as required, because tags can be used for both the target and source.

Reference: Using VPCRoutesAdd Remove Network

Question 11: Your organization has 5 TB of private data on premises. You need to migrate the data to Cloud Storage. You want to maximize the data transfer speed. How should you migrate the data?

A. Use gsutil.

B. Use gcloud.

C. Use GCS REST API. 

D. Use Storage Transfer Service.

ANSWER11:

A

Notes/References11:

A is correct because gsutil gives you access to write data to Cloud Storage.

Reference: gsutilsgcloud sdkcloud storage json apiuploading objectsstorage transfer

Question 12: You are designing a mobile chat application. You want to ensure that people cannot spoof chat messages by proving that a message was sent by a specific user. What should you do?

A. Encrypt the message client-side using block-based encryption with a shared key.

B. Tag messages client-side with the originating user identifier and the destination user.

C. Use a trusted certificate authority to enable SSL connectivity between the client application and the server. 

D. Use public key infrastructure (PKI) to encrypt the message client-side using the originating user’s private key.

ANSWER12:

D

Notes/References12:

D is correct because PKI requires that both the server and the client have signed certificates, validating both the client and the server.

Question 13: You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database backend. You want to store the credentials securely. Where should you store the credentials?

A. In the source code

B. In an environment variable 

C. In a key management system

D. In a config file that has restricted access through ACLs

ANSWER13:

C

Notes/References13:

Question 14: For this question, refer to the Company B case study.

Company B wants to set up a real-time analytics platform for their new game. The new platform must meet their technical requirements. Which combination of Google technologies will meet all of their requirements?

A. Kubernetes Engine, Cloud Pub/Sub, and Cloud SQL

B. Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery 

C. Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow

D. Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc

ANSWER14:

B

Notes/References14:

B is correct because:
Cloud Dataflow dynamically scales up or down, can process data in real time, and is ideal for processing data that arrives late using Beam windows and triggers.
Cloud Storage can be the landing space for files that are regularly uploaded by users’ mobile devices.
Cloud Pub/Sub can ingest the streaming data from the mobile users.
BigQuery can query more than 10 TB of historical data.

References: GCP QuotasBeam Apache WindowingBeam Apache TriggersBigQuery External Data SolutionsApache Hive on Cloud Dataproc

Question 15: For this question, refer to the Company B case study.

Company B has deployed their new backend on Google Cloud Platform (GCP). You want to create a thorough testing process for new versions of the backend before they are released to the public. You want the testing environment to scale in an economical way. How should you design the process?A. Create a scalable environment in GCP for simulating production load.B. Use the existing infrastructure to test the GCP-based backend at scale. C. Build stress tests into each component of your application and use resources from the already deployed production backend to simulate load.D. Create a set of static environments in GCP to test different levels of load—for example, high, medium, and low.

ANSWER15:

A

Notes/References15:

A is correct because simulating production load in GCP can scale in an economical way.

Reference: Load Testing iot using gcp and locustDistributed Load Testing Using Kubernetes

Question 16: For this question, refer to the Company B case study.

Company B wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Company B has the following requirements:

  • Services are deployed redundantly across multiple regions in the US and Europe
  • Only frontend services are exposed on the public internet.
  • They can reserve a single frontend IP for their fleet of services.
  • Deployment artifacts are immutable

Which set of products should they use?

A. Cloud Storage, Cloud Dataflow, Compute Engine

B. Cloud Storage, App Engine, Cloud Load Balancing

C. Container Registry, Google Kubernetes Engine, Cloud Load Balancing

D. Cloud Functions, Cloud Pub/Sub, Cloud Deployment Manager

ANSWER16:

C

Notes/References16:

C is correct because:
Google Kubernetes Engine is ideal for deploying small services that can be updated and rolled back quickly. It is a best practice to manage services using immutable containers.
Cloud Load Balancing supports globally distributed services across multiple regions. It provides a single global IP address that can be used in DNS records. Using URL Maps, the requests can be routed to only the services that Company B wants to expose.
Container Registry is a single place for a team to manage Docker images for the services.

References: Load Balancing https – load balancing overview GCP lb global forwarding rulesreserve static external ip addressbest practice for operating containerscontainer registrydataflowcalling https

Question 17: Your customer is moving their corporate applications to Google Cloud Platform. The security team wants detailed visibility of all resources in the organization. You use Resource Manager to set yourself up as the org admin. What Cloud Identity and Access Management (Cloud IAM) roles should you give to the security team?

A. Org viewer, Project owner

B. Org viewer, Project viewer 

C. Org admin, Project browser

D. Project owner, Network admin

ANSWER17:

B

Notes/References17:

B is correct because:
Org viewer grants the security team permissions to view the organization’s display name.
Project viewer grants the security team permissions to see the resources within projects.

Reference: GCP Resource Manager – User Roles

Question 18: To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department. Which two steps should you take?

A. Use persistent disks to store the state. Start and stop the VM as needed. 

B. Use the –auto-delete flag on all persistent disks before stopping the VM. 

C. Apply VM CPU utilization label and include it in the BigQuery billing export.

D. Use BigQuery billing export and labels to relate cost to groups. 

E. Store all state in local SSD, snapshot the persistent disks, and terminate the VM.F. Store all state in Cloud Storage, snapshot the persistent disks, and terminate the VM.

ANSWER18:

A and D

Notes/References18:

A is correct because persistent disks will not be deleted when an instance is stopped.

D is correct because exporting daily usage and cost estimates automatically throughout the day to a BigQuery dataset is a good way of providing visibility to the finance department. Labels can then be used to group the costs based on team or cost center.

References: GCP instances life cycleGCP instances set disk auto deleteGCP Local Data PersistanceGCP export data BigQueryGCP Creating Managing Labels

Question 19: Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs. What should they do?

A. Configure a new load balancer for the new version of the API.

B. Reconfigure old clients to use a new endpoint for the new API. 

C. Have the old API forward traffic to the new API based on the path.

D. Use separate backend services for each API path behind the load balancer.

ANSWER19:

D

Notes/References19:

D is correct because an HTTP(S) load balancer can direct traffic reaching a single IP to different backends based on the incoming URL.

References: load balancing httpsload balancing backendGCP lb global forwarding rules

Question 20: The database administration team has asked you to help them improve the performance of their new database server running on Compute Engine. The database is used for importing and normalizing the company’s performance statistics. It is built with MySQL running on Debian Linux. They have an n1-standard-8 virtual machine with 80 GB of SSD zonal persistent disk. What should they change to get better performance from this system in a cost-effective manner?

A. Increase the virtual machine’s memory to 64 GB.

B. Create a new virtual machine running PostgreSQL. 

C. Dynamically resize the SSD persistent disk to 500 GB.

D. Migrate their performance metrics warehouse to BigQuery.

ANSWER20:

C

Notes/References20:

C is correct because persistent disk performance is based on the total persistent disk capacity attached to an instance and the number of vCPUs that the instance has. Incrementing the persistent disk capacity will increment its throughput and IOPS, which in turn improve the performance of MySQL.

References: GCP compute disks pdsspecsGCP Compute Disks Performances

Question 21: You need to ensure low-latency global access to data stored in a regional GCS bucket. Data access is uniform across many objects and relatively high. What should you do to address the latency concerns?

A. Use Google’s Cloud CDN.

B. Use Premium Tier routing and Cloud Functions to accelerate access at the edges.

C. Do nothing.

D. Use global BigTable storage.

E. Use a global Cloud Spanner instance.

F. Migrate the data to a new multi-regional GCS bucket.

G. Change the storage class to multi-regional.

ANSWER21:

A

Notes/References21:

Cloud Functions cannot be used to affect GCS data access, so that option is simply wrong. BigTable does not have any “global” mode, so that option is wrong, too. Cloud Spanner is not a good replacement for GCS data: the data use cases are different enough that we can assume it would probably not be a good fit. You cannot change a bucket’s location after it has been created–not via the storage class nor any other way; you would have to migrate the data to a new bucket. Google’s Cloud CDN is very easy to turn on, but it does only work for data that comes from within GCP and only if the objects are being accessed frequently enough. 

Reference: Google Cloud Storage : What bucket class for the best performance?

Question 22: You are building a sign-up app for your local neighbourhood barbeque party and you would like to quickly throw together a low-cost application that tracks who will bring what. Which of the following options should you choose?

A. Python, Flask, App Engine Standard

B. Ruby, Nginx, GKE

C. HTML, CSS, Cloud Storage

D. Node.js, Express, Cloud Functions

E. Rust, Rocket, App Engine Flex

F. Perl, CGI, GCE

ANSWER22:

A

Notes/References22:

The Cloud Storage option doesn’t offer any way to coordinate the guest data. App Engine Flex would cost much more to run when no one is on the sign-up site. Cloud Functions could handle processing some API calls, but it would be more work to set up and that option doesn’t mention anything about storage. GKE is way overkill for such a small and simple application. Running Perl CGI scripts on GCE would also cost more than it needs (and probably make you very sad). App Engine Standard makes it super-easy to stand up a Python Flask app and includes easy data storage options, too. 

Reference: Building a Python 3.7 App on App Engine

Question 23: Your company has decided to migrate your AWS DynamoDB database to a multi-regional Cloud Spanner instance and you are designing the system to transfer and load all the data to synchronize the DBs and eventually allow for a quick cut-over. A member of your team has some previous experience working with Apache Hadoop. Which of the following options will you choose for the streamed updates that follow the initial import?

A. The DynamoDB table change is captured by Cloud Pub/Sub and written to Cloud Dataproc for processing into a Spanner-compatible format.

B. The DynamoDB table change is captured by Cloud Pub/Sub and written to Cloud Dataflow for processing into a Spanner-compatible format.

C. Changes to the DynamoDB table are captured by DynamoDB Streams. A Lambda function triggered by the stream writes the change to Cloud Pub/Sub. Cloud Dataflow processes the data from Cloud Pub/Sub and writes it to Cloud Spanner.

D. The DynamoDB table is rescanned by a GCE instance and written to a Cloud Storage bucket. Cloud Dataproc processes the data from Cloud Storage and writes it to Cloud Spanner.

E. The DynamoDB table is rescanned by an EC2 instance and written to an S3 bucket. Storage Transfer Service moves the data from S3 to a Cloud Storage bucket. Cloud Dataflow processes the data from Cloud Storage and writes it to Cloud Spanner.

ANSWER23:

C

Notes/References23:

Rescanning the DynamoDB table is not an appropriate approach to tracking data changes to keep the GCP-side of this in synch. The fact that someone on your team has previous Hadoop experience is not a good enough reason to choose Cloud Dataproc; that’s a red herring. The options purporting to connect Cloud Pub/Sub directly to the DynamoDB table won’t work because there is no such functionality. 

References: Cloud Solutions Architecture Reference

Question 24: Your client is a manufacturing company and they have informed you that they will be pausing all normal business activities during a five-week summer holiday period. They normally employ thousands of workers who constantly connect to their internal systems for day-to-day manufacturing data such as blueprints and machine imaging, but during this period the few on-site staff will primarily be re-tooling the factory for the next year’s production runs and will not be performing any manufacturing tasks that need to access these cloud-based systems. When the bulk of the staff return, they will primarily work on the new models but may spend about 20% of their time working with models from previous years. The company has asked you to reduce their GCP costs during this time, so which of the following options will you suggest?

A. Pause all Cloud Functions via the UI and unpause them when work starts back up.

B. Disable all Cloud Functions via the command line and re-enable them when work starts back up.

C. Delete all Cloud Functions and recreate them when work starts back up.

D. Convert all Cloud Functions to run as App Engine Standard applications during the break.

E. None of these options is a good suggestion.

ANSWER24:

E

Notes/References24:

Cloud Functions scale themselves down to zero when they’re not being used. There is no need to do anything with them.

Question 25: You need a place to store images before updating them by file-based render farm software running on a cluster of machines. Which of the following options will you choose?

A. Container Registry

B. Cloud Storage

C. Cloud Filestore

D. Persistent Disk

ANSWER25:

C

Notes/References25:

There are several different kinds of “images” that you might need to consider–maybe they are normal picture-image files, maybe they are Docker container images, maybe VM or disk images, or maybe something else. In this question, “images” refers to visual images, thus eliminating CI/CD products like Container Registry. Compute Engine is not a storage product and should be eliminated. The term “file-based” software means that it is unlikely to work well with object-based storage like Cloud Storage (or any of its storage classes). Persistent Disk cannot offer shared access across a cluster of machines when writes are involved; it only handles multiple readers. However, Cloud Filestore is made to provide shared, file-based storage for a cluster of machines as described in the question. 

Reference: Cloud Filestore | Google Cloud

Question 26: Your company has decided to migrate your AWS DynamoDB database to a multi-regional Cloud Spanner instance and you are designing the system to transfer and load all the data to synchronize the DBs and eventually allow for a quick cut-over. A member of your team has some previous experience working with Apache Hadoop. Which of the following options will you choose for the initial data import?

A. The DynamoDB table is scanned by an EC2 instance and written to an S3 bucket. Storage Transfer Service moves the data from S3 to a Cloud Storage bucket. Cloud Dataflow processes the data from Cloud Storage and writes it to Cloud Spanner.

B. The DynamoDB table data is captured by DynamoDB Streams. A Lambda function triggered by the stream writes the data to Cloud Pub/Sub. Cloud Dataflow processes the data from Cloud Pub/Sub and writes it to Cloud Spanner.

C. The DynamoDB table data is captured by Cloud Pub/Sub and written to Cloud Dataproc for processing into a Spanner-compatible format.

D. The DynamoDB table is scanned by a GCE instance and written to a Cloud Storage bucket. Cloud Dataproc processes the data from Cloud Storage and writes it to Cloud Spanner.

ANSWER26:

A

Notes/References26:

The same data processing will have to happen for both the initial (batch) data load and the incremental (streamed) data changes that follow it. So if the solution built to handle the initial batch doesn’t also work for the stream that follows it, then the processing code would have to be written twice. A Professional Cloud Architect should recognize this project-level issue and not over-focus on the (batch) portion called out in this particular question. This is why you don’t want to choose Cloud Dataproc. Instead, Cloud Dataflow will handle both the initial batch load and also the subsequent streamed data. The fact that someone on your team has previous Hadoop experience is not a good enough reason to choose Cloud Dataproc; that’s a red herring. The DynamoDB streams option would be great for the db synchronization that follows, but it can’t handle the initial data load because DynamoDB Streams only fire for data changes. The option purporting to connect Cloud Pub/Sub directly to the DynamoDB table won’t work because there is no such functionality. 

Reference: Cloud Solutions Architecture Reference

Question 27: You need a managed service to handle logging data coming from applications running in GKE and App Engine Standard. Which option should you choose?

A. Cloud Storage

B. Logstash

C. Cloud Monitoring

D. Cloud Logging

E. BigQuery

F. BigTable

ANSWER27:

D

Notes/References27:

Cloud Monitoring is made to handle metrics, not logs. Logstash is not a managed service. And while you could store application logs in almost any storage service, the Cloud Logging service–aka Stackdriver Logging–is purpose-built to accept and process application logs from many different sources. Oh, and you should also be comfortable dealing with products and services by names other than their current official ones. For example, “GKE” used to be called “Container Engine”, “Cloud Build” used to be “Container Builder”, the “GCP Marketplace” used to be called “Cloud Launcher”, and so on. 

Reference: Cloud Logging | Google Cloud

Question 28: You need a place to store images before serving them from AppEngine Standard. Which of the following options will you choose?

A. Compute Engine

B. Cloud Filestore

C. Cloud Storage

D. Persistent Disk

E. Container Registry

F. Cloud Source Repositories

G. Cloud Build

H. Nearline

ANSWER28:

C

Notes/References28:

There are several different kinds of “images” that you might need to consider–maybe they are normal picture-image files, maybe they are Docker container images, maybe VM or disk images, or maybe something else. In this question, “images” refers to picture files, because that’s something that you would serve from a web server product like AppEngine Standard, so we eliminate Cloud Build (which isn’t actually for storage, at all) and the other two CI/CD products: Cloud Source Repositories and Container Registry. You definitely could store image files on Cloud Filestore or Persistent Disk, but you can’t hook those up to AppEngine Standard, so those options need to be eliminated, too. The only options left are both types of Cloud Storage, but since “Cloud Storage” sits next to “Coldline” as an option, we can confidently infer that the former refers to the “Standard” storage class. Since the question implies that these images will be served by AppEngine Standard, we would prefer to use the Standard storage class over the Coldline one–so there’s our answer. 

Reference: The App Engine Standard Environment Cloud Storage: Object Storage | Google Cloud Storage classes | Cloud Storage | Google Cloud

Question 29: You need to ensure low-latency global access to data stored in a multi-regional GCS bucket. Data access is uniform across many objects and relatively low. What should you do to address the latency concerns?

A. Use a global Cloud Spanner instance.

B. Change the storage class to multi-regional.

C. Use Google’s Cloud CDN.

D. Migrate the data to a new regional GCS bucket.

E. Do nothing.

F. Use global BigTable storage.

ANSWER29:

E

Notes/References29:

Cloud Functions cannot be used to affect GCS data access, so that option is simply wrong. BigTable does not have any “global” mode, so that option is wrong, too. Cloud Spanner is not a good replacement for GCS data: the data use cases are different enough that we can assume it would probably not be a good fit. You cannot change a bucket’s location after it has been created–not via the storage class nor any other way; you would have to migrate the data to a new bucket. But migrating the data to a regional bucket only helps when the data access will primarily be from that region. Google’s Cloud CDN is very easy to turn on, but it does only work for data that comes from within GCP and only if the objects are being accessed frequently enough to get cached based on previous requests. Because the access per object is so low, Cloud CDN won’t really help. This then brings us back to the question. Now, it may seem implied, but the question does not specifically state that there is currently a problem with latency, only that you need to ensure low latency–and we are already using what would be the best fit for this situation: a multi-regional CS bucket. 

Reference: Google Cloud Storage : What bucket class for the best performance?

Question 30: You need to ensure low-latency GCP access to a volume of historical data that is currently stored in an S3 bucket. Data access is uniform across many objects and relatively high. What should you do to address the latency concerns?

A. Use Premium Tier routing and Cloud Functions to accelerate access at the edges.

B. Use Google’s Cloud CDN.

C. Use global BigTable storage.

D. Do nothing.

E. Migrate the data to a new multi-regional GCS bucket.

F. Use a global Cloud Spanner instance.

ANSWER30:

E

Notes/References30:

Cloud Functions cannot be used to affect GCS data access, so that option is simply wrong. BigTable does not have any “global” mode, so that option is wrong, too. Cloud Spanner is not a good replacement for GCS data: the data use cases are different enough that we can assume it would probably not be a good fit–and it would likely be unnecessarily expensive. You cannot change a bucket’s location after it has been created–not via the storage class nor any other way; you would have to migrate the data to a new bucket. Google’s Cloud CDN is very easy to turn on, but it does only work for data that comes from within GCP and only if the objects are being accessed frequently enough. So even if you would want to use Cloud CDN, you have to migrate the data into a GCS bucket first, so that’s a better option. 

Reference: Google Cloud Storage : What bucket class for the best performance?

Question 31: You are lifting and shifting into GCP a system that uses a subnet-based security model. It has frontend and backend tiers and will be deployed in three regions. How many subnets will you need?

A. Six

B. One

C. Three

D. Four

E. Two

F. Nine

ANSWER31:

A

Notes/References31:

A single subnet spans and can be used across all zones in a single region, but you will need different subnets in different regions. Also, to implement subnet-level network security, you need to separate each tier into its own subnet. In this case, you have two tiers which will each need their own subnet in each of the three regions in which you will deploy this system. 

Reference: VPC network overview | Google Cloud Best practices and reference architectures for VPC design | Solutions

Question 32: You need a place to produce images before deploying them to AppEngine Flex. Which of the following options will you choose?

A. Container Registry

B. Cloud Storage

C. Persistent Disk

D. Nearline

E. Cloud Source Repositories

F. Cloud Build

G. Cloud Filestore

H. Compute Engine

ANSWER32:

F

Notes/References32:

There are several different kinds of “images” that you might need to consider–maybe they are normal picture-image files, maybe they are Docker container images, maybe VM or disk images, or maybe something else. In this question, “deploying [these images] to AppEngine Flex” lets us know that we are dealing with Docker container images, and thus although they would likely be stored in the Container Registry, after being built, this question asks us where that building might happen, which is Cloud Build. Cloud Build, which used to be called Container Builder, is ideal for building container images–though it can also be used to build almost any artifacts, really. You could also do this on Compute Engine, but that option requires much more work to manage and is therefore worse. 

Reference: Google App Engine flexible environment docs | Google Cloud Container Registry | Google Cloud

Question 33: You are lifting and shifting into GCP a system that uses a subnet-based security model. It has frontend, app, and data tiers and will be deployed in three regions. How many subnets will you need?

A. Two

B. One

C. Three

D. Nine

E. Four

F. Six

ANSWER33:

D

Notes/References33:

A single subnet spans and can be used across all zones in a single region, but you will need different subnets in different regions. Also, to implement subnet-level network security, you need to separate each tier into its own subnet. In this case, you have three tiers which will each need their own subnet in each of the three regions in which you will deploy this system. 

Reference: VPC network overview | Google Cloud Best practices and reference architectures for VPC design | Solutions

Question 34: You need a place to store images in case any of them are needed as evidence for a tax audit over the next seven years. Which of the following options will you choose?

A. Cloud Filestore

B. Coldline

C. Nearline

D. Persistent Disk

E. Cloud Source Repositories

F. Cloud Storage

G. Container Registry

ANSWER34:

B

Notes/References34:

There are several different kinds of “images” that you might need to consider–maybe they are normal picture-image files, maybe they are Docker container images, maybe VM or disk images, or maybe something else. In this question, “images” probably refers to picture files, and so Cloud Storage seems like an interesting option. But even still, when “Cloud Storage” is used without any qualifier, it generally refers to the “Standard” storage class, and this question also offers other storage classes as response options. Because the images in this scenario are unlikely to be used more than once a year (we can assume that taxes are filed annually and there’s less than 100% chance of being audited), the right storage class is Coldline. 

Reference: Cloud Storage: Object Storage | Google Cloud Storage classes | Cloud Storage | Google Cloud

Question 35: You need a place to store images before deploying them to AppEngine Flex. Which of the following options will you choose?

A. Container Registry

B. Cloud Filestore

C. Cloud Source Repositories

D. Persistent Disk

E. Cloud Storage

F. Code Build

G. Nearline

ANSWER35:

A

Notes/References35:

Compute Engine is not a storage product and should be eliminated. There are several different kinds of “images” that you might need to consider–maybe they are normal picture-image files, maybe they are Docker container images, maybe VM or disk images, or maybe something else. In this question, “deploying [these images] to AppEngine Flex” lets us know that we are dealing with Docker container images, and thus they would likely have been stored in the Container Registry. 

Reference: Google App Engine flexible environment docs | Google Cloud Container Registry | Google Cloud

Question 36: You are configuring a SaaS security application that updates your network’s allowed traffic configuration to adhere to internal policies. How should you set this up?

A. Install the application on a new appropriately-sized GCE instance running in your host VPC, and apply a read-only service account to it.

B. Create a new service account for the app to use and grant it the compute.networkViewer role on the production VPC.

C. Create a new service account for the app to use and grant it the compute.securityAdmin role on the production VPC.

D. Run the application as a container in your system’s staging GKE cluster and grant it access to a read-only service account.

E. Install the application on a new appropriately-sized GCE instance running in your host VPC, and let it use the default service account.

ANSWER36:

C

Notes/References36:

You do not install a Software-as-a-Service application yourself; instead, it runs on the vendor’s own hardware and you configure it for external access. Service accounts are great for this, as they can be used externally and you maintain full control over them (disabling them, rotating their keys, etc.). The principle of least privilege dictates that you should not give any application more ability than it needs, but this app does need to make changes, so you’ll need to grant securityAdmin, not networkViewer. 

Reference: VPC network overview | Google Cloud Best practices and reference architectures for VPC design | Solutions Understanding roles | Cloud IAM Documentation | Google Cloud

Question 37: You are lifting and shifting into GCP a system that uses a subnet-based security model. It has frontend and backend tiers and will be deployed across three zones. How many subnets will you need?

A. One

B. Six

C. Four

D. Three

E. Nine

ANSWER37:

F

Notes/References37:

A single subnet spans and can be used across all zones in a given region. But to implement subnet-level network security, you need to separate each tier into its own subnet. In this case, you have two tiers, so you only need two subnets. 

Reference: VPC network overview | Google Cloud Best practices and reference architectures for VPC design | Solutions

Question 38: You have been tasked with setting up a system to comply with corporate standards for container image approvals. Which of the following is your best choice for this project?

A. Binary Authorization

B. Cloud IAM

C. Security Key Enforcement

D. Cloud SCC

E. Cloud KMS

ANSWER38:

A

Notes/References38:

Cloud KMS is Google’s product for managing encryption keys. Security Key Enforcement is about making sure that people’s accounts do not get taken over by attackers, not about managing encryption keys. Cloud IAM is about managing what identities (both humans and services) can access in GCP. Cloud DLP–or Data Loss Prevention–is for preventing data loss by scanning for and redacting sensitive information. Cloud SCC–the Security Command Center–centralizes security information so you can manage it all in one place. Binary Authorization is about making sure that only properly-validated containers can run in your environments. 

Reference: Cloud Key Management Service | Google Cloud Cloud IAM | Google Cloud Cloud Data Loss Prevention | Google Cloud Security Command Center | Google Cloud Binary Authorization | Google Cloud Security Key Enforcement – 2FA

Question 39: For this question, refer to the Company B‘s case study. Which of the following are most likely to impact the operations of Company B’s game backend and analytics systems?

A. PCI

B. PII

C. SOX

D. GDPR

E. HIPAA

ANSWER39:

B and D

Notes/References39:

There is no patient/health information, so HIPAA does not apply. It would be a very bad idea to put payment card information directly into these systems, so we should assume they’ve not done that–therefore the Payment Card Industry (PCI) standards/regulations should not affect normal operation of these systems. Besides, it’s entirely likely that they never deal with payments directly, anyway–choosing to offload that to the relevant app stores for each mobile platform. Sarbanes-Oxley (SOX) is about proper management of financial records for publicly traded companies and should therefore not apply to these systems. However, these systems are likely to contain some Personally-Identifying Information (PII) about the users who may reside in the European Union and therefore the EU’s General Data Protection Regulations (GDPR) will apply and may require ongoing operations to comply with the “Right to be Forgotten/Erased”. 

Reference: Sarbanes–Oxley Act – Wikipedia Payment Card Industry Data Security Standard – Wikipedia Personal data – Wikipedia Personal data – Wikipedia

Question 40: Your new client has advised you that their organization falls within the scope of HIPAA. What can you infer about their information systems?

A. Their customers located in the EU may require them to delete their user data and provide evidence of such.

B. They will also need to pass a SOX audit.

C. They handle money-linked information.

D. Their system deals with medical information.

ANSWER40:

D

Notes/References40:

SOX stands for Sarbanes Oxley and is US regulation governing financial reporting for publicly-traded companies. HIPAA–the Health Insurance Portability and Accountability Act of 1996–is US regulation aimed at safeguarding individuals’ (i.e. patients’) health information. PCI is the Payment Card Industry, and they have Data Security Standards (DSS) that must be adhered to by systems handling payment information of any of their member brands (which include Visa, Mastercard, and several others). 

Reference: Cloud Compliance & Regulations Resources | Google Cloud

Question 41: Your new client has advised you that their organization needs to pass audits by ISO and PCI. What can you infer about their information systems?

A. They handle money-linked information.

B. Their customers located in the EU may require them to delete their user data and provide evidence of such.

C. Their system deals with medical information.

D. They will also need to pass a SOX audit.

ANSWER42:

A

Notes/References42:

SOX stands for Sarbanes Oxley and is US regulation governing financial reporting for publicly-traded companies. HIPAA–the Health Insurance Portability and Accountability Act of 1996–is US regulation aimed at safeguarding individuals’ (i.e. patients’) health information. PCI is the Payment Card Industry, and they have Data Security Standards (DSS) that must be adhered to by systems handling payment information of any of their member brands (which include Visa, Mastercard, and several others). ISO is the International Standards Organization, and since they have so many completely different certifications, this does not tell you much. 

Reference: Cloud Compliance & Regulations Resources | Google Cloud

Question 43: Your new client has advised you that their organization deals with GDPR. What can you infer about their information systems?

A. Their system deals with medical information.

B. Their customers located in the EU may require them to delete their user data and provide evidence of such.

C. They will also need to pass a SOX audit.

D. They handle money-linked information.

ANSWER43:

B

Notes/References43:

SOX stands for Sarbanes Oxley and is US regulation governing financial reporting for publicly-traded companies. HIPAA–the Health Insurance Portability and Accountability Act of 1996–is US regulation aimed at safeguarding individuals’ (i.e. patients’) health information. PCI is the Payment Card Industry, and they have Data Security Standards (DSS) that must be adhered to by systems handling payment information of any of their member brands (which include Visa, Mastercard, and several others). 

Reference: Cloud Compliance & Regulations Resources | Google Cloud

Question 44: For this question, refer to the Company C case study. Once Company C has completed their initial cloud migration as described in the case study, which option would represent the quickest way to migrate their production environment to GCP?

A. Apply the strangler pattern to their applications and reimplement one piece at a time in the cloud

B. Lift and shift all servers at one time

C. Lift and shift one application at a time

D. Lift and shift one server at a time

E. Set up cloud-based load balancing then divert traffic from the DC to the cloud system

F. Enact their disaster recovery plan and fail over

ANSWER44:

F

Notes/References44:

The proposed Lift and Shift options are all talking about different situations than Dress4Win would find themselves in, at that time: they’d then have automation to build a complete prod system in the cloud, but they’d just need to migrate to it. “Just”, right? 🙂 The strangler pattern approach is similarly problematic (in this case), in that it proposes a completely different cloud migration strategy than the one they’ve almost completed. Now, if we purely consider the kicker’s key word “quickest”, using the DR plan to fail over definitely seems like it wins. Setting up an additional load balancer and migrating slowly/carefully would take more time. 

Reference: Strangler pattern – Cloud Design Patterns | Microsoft Docs StranglerFigApplication Monolith to Microservices Using the Strangler Pattern – DZone Microservices Understanding Lift and Shift and If It’s Right For You

Question 45: Which of the following commands is most likely to appear in an environment setup script?

A. gsutil mb -l asia gs://${project_id}-logs

B. gcloud compute instances create –zone–machine-type=n1-highmem-16 newvm

C. gcloud compute instances create –zone–machine-type=f1-micro newvm

D. gcloud compute ssh ${instance_id}

E. gsutil cp -r gs://${project_id}-setup ./install

F. gsutil cp -r logs/* gs://${project_id}-logs/${instance_id}/

ANSWER45:

A

Notes/References45:

The context here indicates that “environment” is an infrastructure environment like “staging” or “prod”, not just a particular command shell. In that sort of a situation, it is likely that you might create some core per-environment buckets that will store different kinds of data like configuration, communication, logging, etc. You’re not likely to be creating, deleting, or connecting (sshing) to instances, nor copying files to or from any instances. 

Reference: mb – Make buckets | Cloud Storage | Google Cloud cp – Copy files and objects | Cloud Storage | Google Cloud gcloud compute instances | Cloud SDK Documentation | Google Cloud

Question 46: Your developers are working to expose a RESTful API for your company’s physical dealer locations. Which of the following endpoints would you advise them to include in their design?

A. /dealerLocations/get

B. /dealerLocations

C. /dealerLocations/list

D. Source and destination

E. /getDealerLocations

ANSWER46:

B

Notes/References46:

It might not feel like it, but this is in scope and a fair question. Google expects Professional Cloud Architects to be able to advise on designing APIs according to best practices (check the exam guide!). In this case, it’s important to know that RESTful interfaces (when properly designed) use nouns for the resources identified by a given endpoint. That, by itself, eliminates most of the listed options. In HTTP, verbs like GET, PUT, and POST are then used to interact with those endpoints to retrieve and act upon those resources. To choose between the two noun-named options, it helps to know that plural resources are generally already understood to be lists, so there should be no need to add another “/list” to the endpoint. 

Reference: RESTful API Design — Step By Step Guide – By

Question 47: Which of the following commands is most likely to appear in an instance shutdown script?

A. gsutil cp -r gs://${project_id}-setup ./install

B. gcloud compute instances create –zone–machine-type=n1-highmem-16 newvm

C. gcloud compute ssh ${instance_id}

D. gsutil mb -l asia gs://${project_id}-logs

E. gcloud compute instances delete ${instance_id}

F. gsutil cp -r logs/* gs://${project_id}-logs/${instance_id}/

G. gcloud compute instances create –zone–machine-type=f1-micro newvm

ANSWER47:

F

Notes/References47:

The startup and shutdown scripts run on an instance at the time when that instance is starting up or shutting down. Those situations do not generally call for any other instances to be created, deleted, or connected (sshed) to. Also, those would be a very unusual time to make a Cloud Storage bucket, since buckets are the overall and highly-scalable containers that would likely hold the data for all (or at least many) instances in a given project. That said, instance shutdown time may be a time when you’d want to copy some final logs from the instance into some project-wide bucket. (In general, though, you really want to be doing that kind of thing continuously and not just at shutdown time, in case the instance shuts down unexpectedly and not in an orderly fashion that runs your shutdown script.)

Reference:  Running startup scripts | Compute Engine Documentation | Google Cloud Running shutdown scripts | Compute Engine Documentation | Google Cloud cp – Copy files and objects | Cloud Storage | Google Cloud gcloud compute instances | Cloud SDK Documentation | Google Cloud

Question 48: It is Saturday morning and you have been alerted to a serious issue in production that is both reducing availability to 95% and corrupting some data. Your monitoring tools noticed the issue 5 minutes ago and it was just escalated to you because the on-call tech in line before you did not respond to the page. Your system has an RPO of 10 minutes and an RTO of 120 minutes, with an SLA of 90% uptime. What should you do first?

A. Escalate the decision to the business manager responsible for the SLA

B. Take the system offline

C. Revert the system to the state it was in on Friday morning

D. Investigate the cause of the issue

ANSWER48:

B

Notes/References48:

The data corruption is your primary concern, as your Recovery Point Objective allows only 10 minutes of data loss and you may already have lost 5. (The data corruption means that you may well need to roll back the data to before that started happening.) It might seem crazy, but you should as quickly as possible stop the system so that you do not lose any more data. It would almost certainly take more time than you have left in your RPO to properly investigate and address the issue, but you should then do that next, during the disaster response clock set by your Recovery Time Objective. Escalating the issue to a business manager doesn’t make any sense. And neither does it make sense to knee-jerk revert the system to an earlier state unless you have some good indication that doing so will address the issue. Plus, we’d better assume that “revert the system” refers only to the deployment and not the data, because rolling the data back that far would definitely violate the RPO. 

Reference: Disaster recovery – Wikipedia

Question 49: Which of the following are not processes or practices that you would associate with DevOps?

A. Raven-test the candidate

B. Obfuscate the code

C. Only one of the other options is made up

D. Run the code in your cardinal environment

E. Do a canary deploy

ANSWER49:

A and D

Notes/References49:

Testing your understanding of development and operations in DevOps. In particular, you need to know that a canary deploy is a real thing and it can be very useful to identify problems with a new change you’re making before it is fully rolled out to and therefore impacts everyone. You should also understand that “obfuscating” code is a real part of a release process that seeks to protect an organization’s source code from theft (by making it unreadable by humans) and usually happens in combination with “minification” (which improves the speed of downloading and interpreting/running the code). On the other hand, “raven-testing” isn’t a thing, and neither is a “cardinal environment”. Those bird references are just homages to canary deployments.

Reference: Intro to deployment strategies: blue-green, canary, and more – DEV Community ‍‍

Question 50: Your CTO is going into budget meetings with the board, next month, and has asked you to draw up plans to optimize your GCP-based systems for capex. Which of the following options will you prioritize in your proposal?

A. Object lifecycle management

B. BigQuery Slots

C. Committed use discounts

D. Sustained use discounts

E. Managed instance group autoscaling

F. Pub/Sub topic centralization

ANSWER50:

B and C

Notes/References50:

Pub/Sub usage is based on how much data you send through it, not any sort of “topic centralization” (which isn’t really a thing). Sustained use discounts can reduce costs, but that’s not really something you structure your system around. Now, most organizations prefer to turn Capital Expenditures into Operational Expenses, but since this question is instead asking you to prioritize CapEx, we need to consider the remaining options from the perspective of “spending” (or maybe reserving) defined amounts of money up-front for longer-term use. (Fair warning, though: You may still have some trouble classifying some cloud expenses as “capital” expenditures). With that in mind, GCE’s Committed Use Discounts do fit: you “buy” (reserve/prepay) some instances ahead of time and then not have to pay (again) for them as you use them (or don’t use them; you’ve already paid). BigQuery Slots are a similar flat-rate pricing model: you pre-purchase a certain amount of BigQuery processing capacity and your queries use that instead of the on-demand capacity. That means you won’t pay more than you planned/purchased, but your queries may finish rather more slowly, too. Managed instance group autoscaling and object lifecycle management can help to reduce costs, but they are not really about capex. 

Reference: CapEx vs OpEx: Capital Expenses and Operating Expenses Explained – BMC Blogs Sustained use discounts | Compute Engine Documentation | Google Cloud Committed use discounts | Compute Engine Documentation | Google Cloud Slots | BigQuery | Google Cloud Autoscaling groups of instances | Compute Engine Documentation Object Lifecycle Management | Cloud Storage | Google Cloud

Question 51: In your last retrospective, there was significant disagreement voiced by the members of your team about what part of your system should be built next. Your scrum master is currently away, but how should you proceed when she returns, on Monday?

A. The scrum master is the one who decides

B. The lead architect should get the final say

C. The product owner should get the final say

D. You should put it to a vote of key stakeholders

E. You should put it to a vote of all stakeholders

ANSWER51:

C

Notes/References51:

In Scrum, it is the Product Owner’s role to define and prioritize (i.e. set order for) the product backlog items that the dev team will work on. If you haven’t ever read it, the Scrum Guide is not too long and quite valuable to have read at least once, for context. 

Reference: Scrum Guide | Scrum Guides

Question 52: Your development team needs to evaluate the behavior of a new version of your application for approximately two hours before committing to making it available to all users. Which of the following strategies will you suggest?

A. Split testing

B. Red-Black

C. A/B

D. Canary

E. Rolling

F. Blue-Green

G. Flex downtime

ANSWER52:

D and E

Notes/References52:

A Blue-Green deployment, also known as a Red-Black deployment, entails having two complete systems set up and cutting over from one of them to the other with the ability to cut back to the known-good old one if there’s any problem with the experimental new one. A canary deployment is where a new version of an app is deployed to only one (or a very small number) of the servers, to see whether it experiences or causes trouble before that version is rolled out to the rest of the servers. When the canary looks good, a Rolling deployment can be used to update the rest of the servers, in-place, one after another to keep the overall system running. “Flex downtime” is something I just made up, but it sounds bad, right? A/B testing–also known as Split testing–is not generally used for deployments but rather to evaluate two different application behaviours by showing both of them to different sets of users. Its purpose is to gather higher-level information about how users interact with the application. 

Reference: BlueGreenDeployment design patterns – What’s the difference between Red/Black deployment and Blue/Green Deployment? – Stack Overflow design patterns – What’s the difference between Red/Black deployment and Blue/Green Deployment? – Stack Overflow What is rolling deployment? – Definition from WhatIs.com A/B testing – Wikipedia

Question 53: You are mentoring a Junior Cloud Architect on software projects. Which of the following “words of wisdom” will you pass along?

A. Identifying and fixing one issue late in the product cycle could cost the same as handling a hundred such issues earlier on

B. Hiring and retaining 10X developers is critical to project success

C. A key goal of a proper post-mortem is to identify what processes need to be changed

D. Adding 100% is a safe buffer for estimates made by skilled estimators at the beginning of a project

E. A key goal of a proper post-mortem is to determine who needs additional training

ANSWER53:

A and C

Notes/References53:

There really can be 10X (and even larger!) differences in productivity between individual contributors, but projects do not only succeed or fail because of their contributions. Bugs are crazily more expensive to find and fix once a system has gone into production, compared to identifying and addressing that issue right up front–yes, even 100x. A post-mortem should not focus on blaming an individual but rather on understanding the many underlying causes that led to a particular event, with an eye toward how such classes of problems can be systematically prevented in the future. 

Reference: 403 Forbidden 403 Forbidden Google – Site Reliability Engineering The Cone of Uncertainty

Question 54: Your team runs a service with an SLA to achieve p99 latency of 200ms. This month, your service achieved p95 latency of 250ms. What will happen now?

A. The next month’s SLA will be increased.

B. The next month’s SLO will be reduced.

C. Your client(s) will have to pay you extra.

D. You will have to pay your client(s).

E. There is no impact on payments.

F. There is not enough information to make a determination.

ANSWER54:

D

Notes/References54:

It would be highly unusual for clients to have to pay extra, even if the service performs better than agreed by the SLA. SLAs generally set out penalties (i.e. you pay the client) for below-standard performance. While SLAs are external-facing, SLOs are internal-facing and do not generally relate to performance penalties. Neither SLAs nor SLOs are adaptively changed just because of one month’s performance; such changes would have to happen through rather different processes. A p99 metric is a tougher measure than p95, and p95 is tougher than p90–so meeting the tougher measure would surpass a required SLA, but meeting a weaker measure would not give enough information to say. 

Reference: What’s the Difference Between DevOps and SRE? (class SRE implements DevOps) – YouTube Percentile rank – Wikipedia

Question 55: Your team runs a service with an SLO to achieve p90 latency of 200ms. This month, your service achieved p95 latency of 250ms. What will happen now?

A. The next month’s SLA will be increased.

B. There is no impact on payments.

C. There is not enough information to make a determination.

D. Your client(s) will have to pay you extra.

E. The next month’s SLO will be reduced.

F. You will have to pay your client(s).

ANSWER55:

B

Notes/References55:

It would be highly unusual for clients to have to pay extra, even if the service performs better than agreed by the SLA. SLAs generally set out penalties (i.e. you pay the client) for below-standard performance. While SLAs are external-facing, SLOs are internal-facing and do not generally relate to performance penalties. Neither SLAs nor SLOs are adaptively changed just because of one month’s performance; such changes would have to happen through rather different processes. A p99 metric is a tougher measure than p95, and p95 is tougher than p90–so meeting the tougher measure would surpass a required SLA, but meeting a weaker measure would not give enough information to say. 

Reference: What’s the Difference Between DevOps and SRE? (class SRE implements DevOps) – YouTube Percentile rank – Wikipedia

Question 56: For this question, refer to the Company C case study. How would you recommend Company C address their capacity and utilization concerns?

A. Configure the autoscaling thresholds to follow changing load

B. Provision enough servers to handle trough load and offload to Cloud Functions for higher demand

C. Run cron jobs on their application servers to scale down at night and up in the morning

D. Use Cloud Load Balancing to balance the traffic highs and lows

D. Run automated jobs in Cloud Scheduler to scale down at night and up in the morning

E. Provision enough servers to handle peak load and sell back excess on-demand capacity to the marketplace

ANSWER56:

A

Notes/References56:

The case study notes, “Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.” Cloud Load Balancing could definitely scale itself to handle this type of load fluctuation, but it would not do anything to address the issue of having enough application server capacity. Provisioning servers to handle peak load is generally inefficient, but selling back excess on-demand capacity to the marketplace just isn’t a thing, so that option must be eliminated, too. Using Cloud Functions would require a different architectural approach for their application servers and it is generally not worth the extra work it would take to coordinate workloads across Cloud Functions and GCE–in practice, you’d just use one or the other. It is possible to manually effect scaling via automated jobs like in Cloud Scheduler or cron running somewhere (though cron running everywhere could create a coordination nightmare), but manual scaling based on predefined expected load levels is far from ideal, as capacity would only very crudely match demand. Rather, it is much better to configure the managed instance group’s autoscaling to follow demand curves–both expected and unexpected. A properly-architected system should rise to the occasion of unexpectedly going viral, and not fall over. 

Reference: Load Balancing | Google Cloud Google Cloud Platform Marketplace Solutions Cloud Functions | Google Cloud Cloud Scheduler | Google Cloud

Google Cloud Latest News, Questions and Answers online:

Cloud Run vs App Engine: In a nutshell, you give Google’s Cloud Run a Docker container containing a webserver. Google will run this container and create an HTTP endpoint. All the scaling is automatically done for you by Google. Cloud Run depends on the fact that your application should be stateless. This is because Google will spin up multiple instances of your app to scale it dynamically. If you want to host a traditional web application this means that you should divide it up into a stateless API and a frontend app.

With Google’s App Engine you tell Google how your app should be run. The App Engine will create and run a container from these instructions. Deploying with App Engine is super easy. You simply fill out an app.yml file and Google handles everything for you.

With Cloud Run, you have more control. You can go crazy and build a ridiculous custom Docker image, no problem! Cloud Run is made for Devops engineers, App Engine is made for developers. Read more here…

Cloud Run VS Cloud Functions: What to consider?

The best choice depends on what you want to optimize, your use-cases and your specific needs.

If your objective is the lowest latency, choose Cloud Run.

Indeed, Cloud Run use always 1 vCPU (at least 2.4Ghz) and you can choose the memory size from 128Mb to 2Gb.

With Cloud Functions, if you want the best processing performance (2.4Ghz of CPU), you have to pay 2Gb of memory. If your memory footprint is low, a Cloud Functions with 2Gb of memory is overkill and cost expensive for nothing.

Cutting cost is not always the best strategy for customer satisfaction, but business reality may require it. Anyway, it highly depends of your use-case

Both Cloud Run and Cloud Function round up to the nearest 100ms. As you could play with the GSheet, the Cloud Functions are cheaper when the processing time of 1 request is below the first 100ms. Indeed, you can slow the Cloud Functions vCPU, with has for consequence to increase the duration of the processing but while staying under 100ms if you tune it well. Thus less Ghz/s are used and thereby you pay less.

the cost comparison between Cloud Functions and Cloud Run goes further than simply comparing a pricing list. Moreover, on your projects, you often will have to use the 2 solutions for taking advantage of their strengths and capabilities.

My first choice for development is Cloud Run. Its portability, its testability, its openess on the libraries, the languages and the binaries confer it too much advantages for, at least, a similar pricing, and often with a real advantage in cost but also in performance, in particular for concurrent requests. Even if you need the same level of isolation of Cloud functions (1 instance per request), simply set the concurrent param to 1!

In addition, the GA of Cloud Run is applied on all containers, whatever the languages and the binaries used. Read more here…

What does the launch of Google’s App Maker mean for professional app developers?

Should I go with AWS Elastic Beanstalk or Google App Engine (Managed VMs) for deploying my Parse-Server backend?

Why can a company such as Google sell me a cloud gaming service where I can “rent” GPU power over miles of internet, but when I seek out information on how to create a version of this everyone says that it is not possible or has too much latency?

AWS wins hearts of developers while Azure those of C-levels. Google is a black horse with special expertise like K8s and ML. The cloud world is evolving. Who is the winner in the next 5 years?

What is GCP (Google Cloud Platform) and how does it work?

What is the maximum amount of storage that you could have in your Google drive?

How do I deploy Spring Boot application (Web MVC) on Google App Engine(GAE) or HEROKU using Eclipse IDE?

What are some downsides of building softwares on top of Google App Engine?

Why is Google losing the cloud computing race?

How did new products like Google Drive, Microsoft SkyDrive, Yandex.Disk and other cloud storage solutions affect Dropbox’s growth and revenues?

What is the capacity of Google servers?

What is the Hybrid Cloud platform?

What is the difference between Docker and Google App engines?

How do I get to cloud storage?

How does Google App Engine compare to Heroku?

What is equivalent of Google Cloud BigTable in Microsoft Azure?

How big is the storage capacity of Google organization and who comes second?

It seems strange that Google Cloud Platform offer “everything” except cloud search/inverted index?

Where are the files on Google Drive stored?

Is Google app engine similar to lambda?

Was Diane Greene a failure as the CEO of Google Cloud considering her replacement’s strategy and philosophy is the polar opposite?

How is Google Cloud for heavy real-time traffic? Is there any optimization needed for handling more than 100k RT?

When it comes to iCloud, why does Apple rely on Google Cloud instead of using their own data centers?

Google Cloud Storage : What bucket class for the best performance?: Multiregional buckets perform significantly better for cross-the-ocean fetches, however the details are a bit more nuanced than that. The performance is dominated by the latency of physical distance between the client and the cloud storage bucket.

  • If caching is on, and your access volume is high enough to take advantage of caching, there’s not a huge difference between the two offerings (that I can see with the tests). This shows off the power of Google’s Awesome CDN environment.
  • If caching is off, or the access volume is low enough that you can’t take advantage of caching, then the performance overhead is dominated directly by physics. You should be trying to get the assets as close to the clients as possible, while also considering cost, and the types of redundancy and consistency you’ll need for your data needs.

Conclusion:

GCP, or the Google Cloud Platform, is a cloud-computing platform that provides users with access to a variety of GCP services. The GCP Professional Architect Engineeer exam is designed to test a candidate’s ability to design, implement, and manage GCP solutions. The GCP questions cover a wide range of topics, from basic GCP concepts to advanced GCP features. To become a GCP Certified Professional, you must pass the GCP PE exam. Below are some basics GCP Questions to answer to get yourself familiarized with the Google Cloud Platform:

1) What is GCP?
2) What are the benefits of using GCP?
3) How can GCP help my business?
4) What are some of the features of GCP?
5) How is GCP different from other clouds?
6) Why should I use GCP?
7) What are some of GCP’s strengths?
8) How is GCP priced?
9) Is GCP easy to use?
10) Can I use GCP for my personal projects?
11) What services does GCP offer?
12) What can I do with GCP?
13) What languages does GCP support?
14) What platforms does GCP support?
15) Does GPC support hybrid deployments? 16) Does GPC support on-premises deployments?

17) Is there a free tier on GPC ?

18) How do I get started with usingG CP ?

Top- high paying certifications:

  1. Google Certified Professional Cloud Architect – $139,529
  2. PMP® – Project Management Professional – $135,798
  3. Certified ScrumMaster® – $135,441
  4. AWS Certified Solutions Architect – Associate – $132,840
  5. AWS Certified Developer – Associate – $130,369
  6. Microsoft Certified Solutions Expert (MCSE): Server Infrastructure – $121,288
  7. ITIL® Foundation – $120,566
  8. CISM – Certified Information Security Manager – $118,412
  9. CRISC – Certified in Risk and Information Systems Control – $117,395
  10. CISSP – Certified Information Systems Security Professional – $116,900
  11. CEH – Certified Ethical Hacker – $116,306
  12. Citrix Certified Associate – Virtualization (CCA-V) – $113,442
  13. CompTIA Security+ – $110,321
  14. CompTIA Network+ – $107,143
  15. Cisco Certified Networking Professional (CCNP) Routing and Switching – $106,957

According to the 2020 Global Knowledge report, the top-paying cloud certifications for the year are (drumroll, please):

1- Google Certified Professional Cloud Architect — $175,761

2- AWS Certified Solutions Architect – Associate — $149,446

3- AWS Certified Cloud Practitioner — $131,465

4- Microsoft Certified: Azure Fundamentals — $126,653

5- Microsoft Certified: Azure Administrator Associate — $125,993

Sources:

1- Google Cloud

2- Linux Academy

3- WhizLabs

4- GCP Space on Quora

5- Udemy

6- Acloud Guru

7. Question and Answers are sent to us by good people all over the world.

What are the corresponding Azure and Google Cloud services for each of the AWS services?

Azure Administrator AZ-104 Exam Questions and Answers Dumps

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What are unique distinctions and similarities between AWS, Azure and Google Cloud services? For each AWS service, what is the equivalent Azure and Google Cloud service? For each Azure service, what is the corresponding Google Service? AWS Services vs Azure vs Google Services? Side by side comparison between AWS, Google Cloud and Azure Service?

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AWS vs Azure vs Google
AWS vs Azure vs Google Mobile App
Cloud Practitioner Exam Prep:  AWS vs Azure vs Google
Cloud Practitioner Exam Prep: AWS vs Azure vs Google

1

Category: Marketplace
Easy-to-deploy and automatically configured third-party applications, including single virtual machine or multiple virtual machine solutions.
References:
[AWS]:AWS Marketplace
[Azure]:Azure Marketplace
[Google]:Google Cloud Marketplace
Tags: #AWSMarketplace, #AzureMarketPlace, #GoogleMarketplace
Differences: They are both digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on their respective cloud platform.

2

Category: AI and machine learning
A cloud service to train, deploy, automate, and manage machine learning models.
References:
[AWS]:AWS SageMaker(build, train and deploy machine learning models), AWS DeepComposer (ML enabled musical keyboard), Amazon Fraud Detector (Detect more online fraud faster), Amazon CodeGuru (Automate code reviews and identify expensive lines of code), Contact Lens for Amazon Connect (Contact center analytics powered by ML), Amazon Kendra (Reinvent enterprise search with ML), Amazon Augmented AI (Easily implement human review of ML predictions), Amazon SageMaker Studio (The first visual IDE for machine learning), Amazon SageMaker Notebooks (Quickly start and share ML notebooks), Amazon SageMaker Experiments (Organize, track, and evaluate ML experiments), Amazon SageMaker Debugger (Analyze and debug ML models in real time), Amazon SageMaker Autopilot (Automatically create high quality ML models), Amazon SageMaker Model Monitor (Continuously monitor ML models)
[Azure]:Azure Machine Learning
[Google]:Google Cloud TensorFlow
Tags: #AI, #CloudAI, #SageMaker, #AzureMachineLearning, #TensorFlow
Differences: According to the StackShare community, Azure Machine Learning has a broader approval, being mentioned in 12 company stacks & 8 developers stacks; compared to Amazon Machine Learning, which is listed in 8 company stacks and 9 developer stacks.

3

Category: AI and machine learning
Build and connect intelligent bots that interact with your users using text/SMS, Skype, Teams, Slack, Office 365 mail, Twitter, and other popular services.
References:
[AWS]:Alexa Skills Kit (enables a developer to build skills, also called conversational applications, on the Amazon Alexa artificial intelligence assistant.)
[Azure]:Microsoft Bot Framework (building enterprise-grade conversational AI experiences.)
[Google]:Google Assistant Actions ( developer platform that lets you create software to extend the functionality of the Google Assistant, Google’s virtual personal assistant,)

Tags: #AlexaSkillsKit, #MicrosoftBotFramework, #GoogleAssistant
Differences: One major advantage Google gets over Alexa is that Google Assistant is available to almost all Android devices.

4

Category: AI and machine learning
Description:API capable of converting speech to text, understanding intent, and converting text back to speech for natural responsiveness.
References:
[AWS]:Amazon Lex (building conversational interfaces into any application using voice and text.)
[Azure]:Azure Speech Services(unification of speech-to-text, text-to-speech, and speech translation into a single Azure subscription)
[Google]:Google APi.ai, AI Hub (Hosted repo of plug-and-play AI component), AI building blocks(for developers to add sight, language, conversation, and structured data to their applications.), AI Platform(code-based data science development environment, lets ML developers and data scientists quickly take projects from ideation to deployment.), DialogFlow (Google-owned developer of human–computer interaction technologies based on natural language conversations. ), TensorFlow(Open Source Machine Learning platform)

Tags: #AmazonLex, #CogintiveServices, #AzureSpeech, #Api.ai, #DialogFlow, #Tensorflow
Differences: api.ai provides us with such a platform which is easy to learn and comprehensive to develop conversation actions. It is a good example of the simplistic approach to solving complex man to machine communication problem using natural language processing in proximity to machine learning. Api.ai supports context based conversations now, which reduces the overhead of handling user context in session parameters. On the other hand in Lex this has to be handled in session. Also, api.ai can be used for both voice and text based conversations (assistant actions can be easily created using api.ai).

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5

Category: AI and machine learning
Description:Computer Vision: Extract information from images to categorize and process visual data.
References:
[AWS]:Amazon Rekognition (based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. It requires no machine learning expertise to use.)
[Azure]:Cognitive Services(bring AI within reach of every developer—without requiring machine-learning expertise.)
[Google]:Google Vision (offers powerful pre-trained machine learning models through REST and RPC APIs.)
Tags: AmazonRekognition, #GoogleVision, #AzureSpeech
Differences: For now, only Google Cloud Vision supports batch processing. Videos are not natively supported by Google Cloud Vision or Amazon Rekognition. The Object Detection functionality of Google Cloud Vision and Amazon Rekognition is almost identical, both syntactically and semantically.
Differences:
Google Cloud Vision and Amazon Rekognition offer a broad spectrum of solutions, some of which are comparable in terms of functional details, quality, performance, and costs.

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7

Category: Big data and analytics: Data warehouse
Description: Apache Spark-based analytics platform. Managed Hadoop service. Data orchestration, ETL, Analytics and visualization
References:
[AWS]:EMR, Data Pipeline, Kinesis Stream, Kinesis Firehose, Glue, QuickSight, Athena, CloudSearch
[Azure]:Azure Databricks, Data Catalog Cortana Intelligence, HDInsight, Power BI, Azure Datafactory, Azure Search, Azure Data Lake Anlytics, Stream Analytics, Azure Machine Learning
[Google]:Cloud DataProc, Machine Learning, Cloud Datalab
Tags:#EMR, #DataPipeline, #Kinesis, #Cortana, AzureDatafactory, #AzureDataAnlytics, #CloudDataProc, #MachineLearning, #CloudDatalab
Differences: All three providers offer similar building blocks; data processing, data orchestration, streaming analytics, machine learning and visualisations. AWS certainly has all the bases covered with a solid set of products that will meet most needs. Azure offers a comprehensive and impressive suite of managed analytical products. They support open source big data solutions alongside new serverless analytical products such as Data Lake. Google provide their own twist to cloud analytics with their range of services. With Dataproc and Dataflow, Google have a strong core to their proposition. Tensorflow has been getting a lot of attention recently and there will be many who will be keen to see Machine Learning come out of preview.

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Category: Virtual servers
Description:Virtual servers allow users to deploy, manage, and maintain OS and server software. Instance types provide combinations of CPU/RAM. Users pay for what they use with the flexibility to change sizes.
Batch: Run large-scale parallel and high-performance computing applications efficiently in the cloud.
References:
[AWS]:Elastic Compute Cloud (EC2), Amazon Bracket(Explore and experiment with quantum computing), Amazon Ec2 M6g Instances (Achieve up to 40% better price performance), Amazon Ec2 Inf1 instancs (Deliver cost-effective ML inference), AWS Graviton2 Processors (Optimize price performance for cloud workloads), AWS Batch, AWS AutoScaling, VMware Cloud on AWS, AWS Local Zones (Run low latency applications at the edge), AWS Wavelength (Deliver ultra-low latency applications for 5G devices), AWS Nitro Enclaves (Further protect highly sensitive data), AWS Outposts (Run AWS infrastructure and services on-premises)
[Azure]:Azure Virtual Machines, Azure Batch, Virtual Machine Scale Sets, Azure VMware by CloudSimple
[Google]:Compute Engine, Preemptible Virtual Machines, Managed instance groups (MIGs), Google Cloud VMware Solution by CloudSimple
Tags: #AWSEC2, #AWSBatch, #AWSAutoscaling, #AzureVirtualMachine, #AzureBatch, #VirtualMachineScaleSets, #AzureVMWare, #ComputeEngine, #MIGS, #VMWare
Differences: There is very little to choose between the 3 providers when it comes to virtual servers. Amazon has some impressive high end kit, on the face of it this sound like it would make AWS a clear winner. However, if your only option is to choose the biggest box available you will need to make sure you have very deep pockets, and perhaps your money may be better spent re-architecting your apps for horizontal scale.Azure’s remains very strong in the PaaS space and now has a IaaS that can genuinely compete with AWS
Google offers a simple and very capable set of services that are easy to understand. However, with availability in only 5 regions it does not have the coverage of the other players.

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Category: Containers and container orchestrators
Description: A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another.
Container orchestration is all about managing the lifecycles of containers, especially in large, dynamic environments.
References:
[AWS]:EC2 Container Service (ECS), Fargate(Run containers without anaging servers or clusters), EC2 Container Registry(managed AWS Docker registry service that is secure, scalable, and reliable.), Elastic Container Service for Kubernetes (EKS: runs the Kubernetes management infrastructure across multiple AWS Availability Zones), App Mesh( application-level networking to make it easy for your services to communicate with each other across multiple types of compute infrastructure)
[Azure]:Azure Container Instances, Azure Container Registry, Azure Kubernetes Service (AKS), Service Fabric Mesh
[Google]:Google Container Engine, Container Registry, Kubernetes Engine
Tags:#ECS, #Fargate, #EKS, #AppMesh, #ContainerEngine, #ContainerRegistry, #AKS
Differences: Google Container Engine, AWS Container Services, and Azure Container Instances can be used to run docker containers. Google offers a simple and very capable set of services that are easy to understand. However, with availability in only 5 regions it does not have the coverage of the other players.

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Category: Serverless
Description: Integrate systems and run backend processes in response to events or schedules without provisioning or managing servers.
References:
[AWS]:AWS Lambda
[Azure]:Azure Functions
[Google]:Google Cloud Functions
Tags:#AWSLAmbda, #AzureFunctions, #GoogleCloudFunctions
Differences: Both AWS Lambda and Microsoft Azure Functions and Google Cloud Functions offer dynamic, configurable triggers that you can use to invoke your functions on their platforms. AWS Lambda, Azure and Google Cloud Functions support Node.js, Python, and C#. The beauty of serverless development is that, with minor changes, the code you write for one service should be portable to another with little effort – simply modify some interfaces, handle any input/output transforms, and an AWS Lambda Node.JS function is indistinguishable from a Microsoft Azure Node.js Function. AWS Lambda provides further support for Python and Java, while Azure Functions provides support for F# and PHP. AWS Lambda is built from the AMI, which runs on Linux, while Microsoft Azure Functions run in a Windows environment. AWS Lambda uses the AWS Machine architecture to reduce the scope of containerization, letting you spin up and tear down individual pieces of functionality in your application at will.

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Category: Relational databases
Description: Managed relational database service where resiliency, scale, and maintenance are primarily handled by the platform.
References:
[AWS]:AWS RDS(MySQL and PostgreSQL-compatible relational database built for the cloud,), Aurora(MySQL and PostgreSQL-compatible relational database built for the cloud)
[Azure]:SQL Database, Azure Database for MySQL, Azure Database for PostgreSQL
[Google]:Cloud SQL
Tags: #AWSRDS, #AWSAUrora, #AzureSQlDatabase, #AzureDatabaseforMySQL, #GoogleCloudSQL
Differences: All three providers boast impressive relational database offering. RDS supports an impressive range of managed relational stores while Azure SQL Database is probably the most advanced managed relational database available today. Azure also has the best out-of-the-box support for cross-region geo-replication across its database offerings.

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Category: NoSQL, Document Databases
Description:A globally distributed, multi-model database that natively supports multiple data models: key-value, documents, graphs, and columnar.
References:
[AWS]:DynamoDB (key-value and document database that delivers single-digit millisecond performance at any scale.), SimpleDB ( a simple web services interface to create and store multiple data sets, query your data easily, and return the results.), Managed Cassandra Services(MCS)
[Azure]:Table Storage, DocumentDB, Azure Cosmos DB
[Google]:Cloud Datastore (handles sharding and replication in order to provide you with a highly available and consistent database. )
Tags:#AWSDynamoDB, #SimpleDB, #TableSTorage, #DocumentDB, AzureCosmosDB, #GoogleCloudDataStore
Differences:DynamoDB and Cloud Datastore are based on the document store database model and are therefore similar in nature to open-source solutions MongoDB and CouchDB. In other words, each database is fundamentally a key-value store. With more workloads moving to the cloud the need for NoSQL databases will become ever more important, and again all providers have a good range of options to satisfy most performance/cost requirements. Of all the NoSQL products on offer it’s hard not to be impressed by DocumentDB; Azure also has the best out-of-the-box support for cross-region geo-replication across its database offerings.

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Category:Caching
Description:An in-memory–based, distributed caching service that provides a high-performance store typically used to offload non transactional work from a database.
References:
[AWS]:AWS ElastiCache (works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times.)
[Azure]:Azure Cache for Redis (based on the popular software Redis. It is typically used as a cache to improve the performance and scalability of systems that rely heavily on backend data-stores.)
[Google]:Memcache (In-memory key-value store, originally intended for caching)
Tags:#Redis, #Memcached
<Differences: They all support horizontal scaling via sharding.They all improve the performance of web applications by allowing you to retrive information from fast, in-memory caches, instead of relying on slower disk-based databases.”, “Differences”: “ElastiCache supports Memcached and Redis. Memcached Cloud provides various data persistence options as well as remote backups for disaster recovery purposes. Redis offers persistence to disk, Memcache does not. This can be very helpful if you cache lots of data, since you remove the slowness around having a fully cold cache. Redis also offers several extra data structures that Memcache doesn’t— Lists, Sets, Sorted Sets, etc. Memcache only has Key/Value pairs. Memcache is multi-threaded. Redis is single-threaded and event driven. Redis is very fast, but it’ll never be multi-threaded. At hight scale, you can squeeze more connections and transactions out of Memcache. Memcache tends to be more memory efficient. This can make a big difference around the magnitude of 10s of millions or 100s of millions of keys. ElastiCache supports Memcached and Redis. Memcached Cloud provides various data persistence options as well as remote backups for disaster recovery purposes. Redis offers persistence to disk, Memcache does not. This can be very helpful if you cache lots of data, since you remove the slowness around having a fully cold cache. Redis also offers several extra data structures that Memcache doesn’t— Lists, Sets, Sorted Sets, etc. Memcache only has Key/Value pairs. Memcache is multi-threaded. Redis is single-threaded and event driven. Redis is very fast, but it’ll never be multi-threaded. At hight scale, you can squeeze more connections and transactions out of Memcache. Memcache tends to be more memory efficient. This can make a big difference around the magnitude of 10s of millions or 100s of millions of keys.

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Category: Security, identity, and access
Description:Authentication and authorization: Allows users to securely control access to services and resources while offering data security and protection. Create and manage users and groups, and use permissions to allow and deny access to resources.
References:
[AWS]:Identity and Access Management (IAM), AWS Organizations, Multi-Factor Authentication, AWS Directory Service, Cognito(provides solutions to control access to backend resources from your app), Amazon Detective (Investigate potential security issues), AWS IAM Access Analyzer(Easily analyze resource accessibility)
[Azure]:Azure Active Directory, Azure Subscription Management + Azure RBAC, Multi-Factor Authentication, Azure Active Directory Domain Services, Azure Active Directory B2C, Azure Policy, Management Groups
[Google]:Cloud Identity, Identity Platform, Cloud IAM, Policy Intelligence, Cloud Resource Manager, Cloud Identity-Aware Proxy, Context-aware accessManaged Service for Microsoft Active Directory, Security key enforcement, Titan Security Key
Tags: #IAM, #AWSIAM, #AzureIAM, #GoogleIAM, #Multi-factorAuthentication
Differences: One unique thing about AWS IAM is that accounts created in the organization (not through federation) can only be used within that organization. This contrasts with Google and Microsoft. On the good side, every organization is self-contained. On the bad side, users can end up with multiple sets of credentials they need to manage to access different organizations. The second unique element is that every user can have a non-interactive account by creating and using access keys, an interactive account by enabling console access, or both. (Side note: To use the CLI, you need to have access keys generated.)

15

Category: Object Storage and Content delivery
Description:Object storage service, for use cases including cloud applications, content distribution, backup, archiving, disaster recovery, and big data analytics.
References:
[AWS]:Simple Storage Services (S3), Import/Export(used to move large amounts of data into and out of the Amazon Web Services public cloud using portable storage devices for transport.), Snowball( petabyte-scale data transport solution that uses devices designed to be secure to transfer large amounts of data into and out of the AWS Cloud), CloudFront( content delivery network (CDN) is massively scaled and globally distributed), Elastic Block Store (EBS: high performance block storage service), Elastic File System(shared, elastic file storage system that grows and shrinks as you add and remove files.), S3 Infrequent Access (IA: is for data that is accessed less frequently, but requires rapid access when needed. ), S3 Glacier( long-term storage of data that is infrequently accessed and for which retrieval latency times of 3 to 5 hours are acceptable.), AWS Backup( makes it easy to centralize and automate the back up of data across AWS services in the cloud as well as on-premises using the AWS Storage Gateway.), Storage Gateway(hybrid cloud storage service that gives you on-premises access to virtually unlimited cloud storage), AWS Import/Export Disk(accelerates moving large amounts of data into and out of AWS using portable storage devices for transport)
[Azure]:
Azure Blob storage, File Storage, Data Lake Store, Azure Backup, Azure managed disks, Azure Files, Azure Storage cool tier, Azure Storage archive access tier, Azure Backup, StorSimple, Import/Export
[Google]:
Cloud Storage, GlusterFS, CloudCDN
Tags:#S3, #AzureBlobStorage, #CloudStorage
Differences:
Source: All providers have good object storage options and so storage alone is unlikely to be a deciding factor when choosing a cloud provider. The exception perhaps is for hybrid scenarios, in this case Azure and AWS clearly win. AWS and Google’s support for automatic versioning is a great feature that is currently missing from Azure; however Microsoft’s fully managed Data Lake Store offers an additional option that will appeal to organisations who are looking to run large scale analytical workloads. If you are prepared to wait 4 hours for your data and you have considerable amounts of the stuff then AWS Glacier storage might be a good option. If you use the common programming patterns for atomic updates and consistency, such as etags and the if-match family of headers, then you should be aware that AWS does not support them, though Google and Azure do. Azure also supports blob leasing, which can be used to provide a distributed lock.

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Category:Internet of things (IoT)
Description:A cloud gateway for managing bidirectional communication with billions of IoT devices, securely and at scale. Deploy cloud intelligence directly on IoT devices to run in on-premises scenarios.
References:
[AWS]:AWS IoT (Internet of Things), AWS Greengrass, Kinesis Firehose, Kinesis Streams, AWS IoT Things Graph
[Azure]:Azure IoT Hub, Azure IoT Edge, Event Hubs, Azure Digital Twins, Azure Sphere
[Google]:Google Cloud IoT Core, Firebase, Brillo, Weave, CLoud Pub/SUb, Stream Analysis, Big Query, Big Query Streaming API
Tags:#IoT, #InternetOfThings, #Firebase
Differences:AWS and Azure have a more coherent message with their products clearly integrated into their respective platforms, whereas Google Firebase feels like a distinctly separate product.

17

Category:Web Applications
Description:Managed hosting platform providing easy to use services for deploying and scaling web applications and services. API Gateway is a a turnkey solution for publishing APIs to external and internal consumers. Cloudfront is a global content delivery network that delivers audio, video, applications, images, and other files.
References:
[AWS]:Elastic Beanstalk (for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS), AWS Wavelength (for delivering ultra-low latency applications for 5G), API Gateway (makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.), CloudFront (web service that speeds up distribution of your static and dynamic web content, such as .html, .css, .js, and image files, to your users. CloudFront delivers your content through a worldwide network of data centers called edge locations.),Global Accelerator ( improves the availability and performance of your applications with local or global users. It provides static IP addresses that act as a fixed entry point to your application endpoints in a single or multiple AWS Regions, such as your Application Load Balancers, Network Load Balancers or Amazon EC2 instances.)AWS AppSync (simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources: GraphQL service with real-time data synchronization and offline programming features. )
[Azure]:App Service, API Management, Azure Content Delivery Network, Azure Content Delivery Network
[Google]:App Engine, Cloud API, Cloud Enpoint, APIGee
Tags: #AWSElasticBeanstalk, #AzureAppService, #GoogleAppEngine, #CloudEnpoint, #CloudFront, #APIgee
Differences: With AWS Elastic Beanstalk, developers retain full control over the AWS resources powering their application. If developers decide they want to manage some (or all) of the elements of their infrastructure, they can do so seamlessly by using Elastic Beanstalk’s management capabilities. AWS Elastic Beanstalk integrates with more apps than Google App Engines (Datadog, Jenkins, Docker, Slack, Github, Eclipse, etc..). Google App Engine has more features than AWS Elastic BEanstalk (App Identity, Java runtime, Datastore, Blobstore, Images, Go Runtime, etc..). Developers describe Amazon API Gateway as “Create, publish, maintain, monitor, and secure APIs at any scale”. Amazon API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization and access control, monitoring, and API version management. On the other hand, Google Cloud Endpoints is detailed as “Develop, deploy and manage APIs on any Google Cloud backend”. An NGINX-based proxy and distributed architecture give unparalleled performance and scalability. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development and provides insight with Google Cloud Monitoring, Cloud Trace, Google Cloud Logging and Cloud Trace.

18

Category:Encryption
Description:Helps you protect and safeguard your data and meet your organizational security and compliance commitments.
References:
[AWS]:Key Management Service AWS KMS, CloudHSM
[Azure]:Key Vault
[Google]:Encryption By Default at Rest, Cloud KMS
Tags:#AWSKMS, #Encryption, #CloudHSM, #EncryptionAtRest, #CloudKMS
Differences: AWS KMS, is an ideal solution for organizations that want to manage encryption keys in conjunction with other AWS services. In contrast to AWS CloudHSM, AWS KMS provides a complete set of tools to manage encryption keys, develop applications and integrate with other AWS services. Google and Azure offer 4096 RSA. AWS and Google offer 256 bit AES. With AWs, you can bring your own key

19

Category:Internet of things (IoT)
Description:A cloud gateway for managing bidirectional communication with billions of IoT devices, securely and at scale. Deploy cloud intelligence directly on IoT devices to run in on-premises scenarios.
References:
[AWS]:AWS IoT, AWS Greengrass, Kinesis Firehose ( captures and loads streaming data in storage and business intelligence (BI) tools to enable near real-time analytics in the AWS cloud), Kinesis Streams (for rapid and continuous data intake and aggregation.), AWS IoT Things Graph (makes it easy to visually connect different devices and web services to build IoT applications.)
[Azure]:Azure IoT Hub, Azure IoT Edge, Event Hubs, Azure Digital Twins, Azure Sphere
[Google]:Google Cloud IoT Core, Firebase, Brillo, Weave, CLoud Pub/SUb, Stream Analysis, Big Query, Big Query Streaming API
Tags:#IoT, #InternetOfThings, #Firebase
Differences:AWS and Azure have a more coherent message with their products clearly integrated into their respective platforms, whereas Google Firebase feels like a distinctly separate product.

20

Category:Object Storage and Content delivery
Description: Object storage service, for use cases including cloud applications, content distribution, backup, archiving, disaster recovery, and big data analytics.
References:
[AWS]:Simple Storage Services (S3), Import/Export Snowball, CloudFront, Elastic Block Store (EBS), Elastic File System, S3 Infrequent Access (IA), S3 Glacier, AWS Backup, Storage Gateway, AWS Import/Export Disk, Amazon S3 Access Points(Easily manage access for shared data)
[Azure]:Azure Blob storage, File Storage, Data Lake Store, Azure Backup, Azure managed disks, Azure Files, Azure Storage cool tier, Azure Storage archive access tier, Azure Backup, StorSimple, Import/Export
[Google]:Cloud Storage, GlusterFS, CloudCDN
Tags:#S3, #AzureBlobStorage, #CloudStorage
Differences:All providers have good object storage options and so storage alone is unlikely to be a deciding factor when choosing a cloud provider. The exception perhaps is for hybrid scenarios, in this case Azure and AWS clearly win. AWS and Google’s support for automatic versioning is a great feature that is currently missing from Azure; however Microsoft’s fully managed Data Lake Store offers an additional option that will appeal to organisations who are looking to run large scale analytical workloads. If you are prepared to wait 4 hours for your data and you have considerable amounts of the stuff then AWS Glacier storage might be a good option. If you use the common programming patterns for atomic updates and consistency, such as etags and the if-match family of headers, then you should be aware that AWS does not support them, though Google and Azure do. Azure also supports blob leasing, which can be used to provide a distributed lock.

21

Category: Backend process logic
Description: Cloud technology to build distributed applications using out-of-the-box connectors to reduce integration challenges. Connect apps, data and devices on-premises or in the cloud.
References:
[AWS]:AWS Step Functions ( lets you build visual workflows that enable fast translation of business requirements into technical requirements. You can build applications in a matter of minutes, and when needs change, you can swap or reorganize components without customizing any code.)
[Azure]:Logic Apps (cloud service that helps you schedule, automate, and orchestrate tasks, business processes, and workflows when you need to integrate apps, data, systems, and services across enterprises or organizations.)
[Google]:Dataflow ( fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem.)
Tags:#AWSStepFunctions, #LogicApps, #Dataflow
Differences: AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly. AWS Step Functions belongs to \”Cloud Task Management\” category of the tech stack, while Google Cloud Dataflow can be primarily classified under \”Real-time Data Processing\”. According to the StackShare community, Google Cloud Dataflow has a broader approval, being mentioned in 32 company stacks & 8 developers stacks; compared to AWS Step Functions, which is listed in 19 company stacks and 7 developer stacks.

22

Category: Enterprise application services
Description:Fully integrated Cloud service providing communications, email, document management in the cloud and available on a wide variety of devices.
References:
[AWS]:Amazon WorkMail, Amazon WorkDocs, Amazon Kendra (Sync and Index)
[Azure]:Office 365
[Google]:G Suite
Tags: #AmazonWorkDocs, #Office365, #GoogleGSuite
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23

Category: Networking
Description: Provides an isolated, private environment in the cloud. Users have control over their virtual networking environment, including selection of their own IP address range, creation of subnets, and configuration of route tables and network gateways.
References:
[AWS]:Virtual Private Cloud (VPC), Cloud virtual networking, Subnets, Elastic Network Interface (ENI), Route Tables, Network ACL, Secutity Groups, Internet Gateway, NAT Gateway, AWS VPN Gateway, AWS Route 53, AWS Direct Connect, AWS Network Load Balancer, VPN CloudHub, AWS Local Zones, AWS Transit Gateway network manager (Centrally manage global networks)
[Azure]:Virtual Network(provide services for building networks within Azure.),Subnets (network resources can be grouped by subnet for organisation and security.), Network Interface (Each virtual machine can be assigned one or more network interfaces (NICs)), Network Security Groups (NSG: contains a set of prioritised ACL rules that explicitly grant or deny access), Azure VPN Gateway ( allows connectivity to on-premise networks), Azure DNS, Traffic Manager (DNS based traffic routing solution.), ExpressRoute (provides connections up to 10 Gbps to Azure services over a dedicated fibre connection), Azure Load Balancer, Network Peering, Azure Stack (Azure Stack allows organisations to use Azure services running in private data centers.), Azure Load Balancer , Azure Log Analytics, Azure DNS,
[Google]:Cloud Virtual Network, Subnets, Network Interface, Protocol fowarding, Cloud VPN, Cloud DNS, Virtual Private Network, Cloud Interconnect, CDN interconnect, Cloud DNS, Stackdriver, Google Cloud Load Balancing,
Tags:#VPC, #Subnets, #ACL, #VPNGateway, #CloudVPN, #NetworkInterface, #ENI, #RouteTables, #NSG, #NetworkACL, #InternetGateway, #NatGateway, #ExpressRoute, #CloudInterConnect, #StackDriver
Differences: Subnets group related resources, however, unlike AWS and Azure, Google do not constrain the private IP address ranges of subnets to the address space of the parent network. Like Azure, Google has a built in internet gateway that can be specified from routing rules.

24

Category: Management
Description: A unified management console that simplifies building, deploying, and operating your cloud resources.
References:
[AWS]: AWS Management Console, Trusted Advisor, AWS Usage and Billing Report, AWS Application Discovery Service, Amazon EC2 Systems Manager, AWS Personal Health Dashboard, AWS Compute Optimizer (Identify optimal AWS Compute resources)
[Azure]:Azure portal, Azure Advisor, Azure Billing API, Azure Migrate, Azure Monitor, Azure Resource Health
[Google]:Google CLoud Platform, Cost Management, Security Command Center, StackDriver
Tags: #AWSConsole, #AzurePortal, #GoogleCloudConsole, #TrustedAdvisor, #AzureMonitor, #SecurityCommandCenter
Differences: AWS Console categorizes its Infrastructure as a Service offerings into Compute, Storage and Content Delivery Network (CDN), Database, and Networking to help businesses and individuals grow. Azure excels in the Hybrid Cloud space allowing companies to integrate onsite servers with cloud offerings. Google has a strong offering in containers, since Google developed the Kubernetes standard that AWS and Azure now offer. GCP specializes in high compute offerings like Big Data, analytics and machine learning. It also offers considerable scale and load balancing – Google knows data centers and fast response time.

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Category: DevOps and application monitoring
Description: Comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments; Cloud services for collaborating on code development; Collection of tools for building, debugging, deploying, diagnosing, and managing multiplatform scalable apps and services; Fully managed build service that supports continuous integration and deployment.
References:
[AWS]:AWS CodePipeline(orchestrates workflow for continuous integration, continuous delivery, and continuous deployment), AWS CloudWatch (monitor your AWS resources and the applications you run on AWS in real time. ), AWS X-Ray (application performance management service that enables a developer to analyze and debug applications in aws), AWS CodeDeploy (automates code deployments to Elastic Compute Cloud (EC2) and on-premises servers. ), AWS CodeCommit ( source code storage and version-control service), AWS Developer Tools, AWS CodeBuild (continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy. ), AWS Command Line Interface (unified tool to manage your AWS services), AWS OpsWorks (Chef-based), AWS CloudFormation ( provides a common language for you to describe and provision all the infrastructure resources in your cloud environment.), Amazon CodeGuru (for automated code reviews and application performance recommendations)
[Azure]:Azure Monitor, Azure DevOps, Azure Developer Tools, Azure CLI Azure PowerShell, Azure Automation, Azure Resource Manager , VM extensions , Azure Automation
[Google]:DevOps Solutions (Infrastructure as code, Configuration management, Secrets management, Serverless computing, Continuous delivery, Continuous integration , Stackdriver (combines metrics, logs, and metadata from all of your cloud accounts and projects into a single comprehensive view of your environment)
Tags: #CloudWatch, #StackDriver, #AzureMonitor, #AWSXray, #AWSCodeDeploy, #AzureDevOps, #GoogleDevopsSolutions
Differences: CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support.

SageMakerAzure Machine Learning Studio

A collaborative, drag-and-drop tool to build, test, and deploy predictive analytics solutions on your data.

Alexa Skills KitMicrosoft Bot Framework

Build and connect intelligent bots that interact with your users using text/SMS, Skype, Teams, Slack, Office 365 mail, Twitter, and other popular services.

Amazon LexSpeech Services

API capable of converting speech to text, understanding intent, and converting text back to speech for natural responsiveness.

Amazon LexLanguage Understanding (LUIS)

Allows your applications to understand user commands contextually.

Amazon Polly, Amazon Transcribe | Azure Speech Services

Enables both Speech to Text, and Text into Speech capabilities.
The Speech Services are the unification of speech-to-text, text-to-speech, and speech-translation into a single Azure subscription. It’s easy to speech enable your applications, tools, and devices with the Speech SDK, Speech Devices SDK, or REST APIs.
Amazon Polly is a Text-to-Speech (TTS) service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice. With dozens of lifelike voices across a variety of languages, you can select the ideal voice and build speech-enabled applications that work in many different countries.
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications. Using the Amazon Transcribe API, you can analyze audio files stored in Amazon S3 and have the service return a text file of the transcribed speech.

Amazon RekognitionCognitive Services

Computer Vision: Extract information from images to categorize and process visual data.
Amazon Rekognition is a simple and easy to use API that can quickly analyze any image or video file stored in Amazon S3. Amazon Rekognition is always learning from new data, and we are continually adding new labels and facial recognition features to the service.

Face: Detect, identy, and analyze faces in photos.

Emotions: Recognize emotions in images.

Alexa Skill SetAzure Virtual Assistant

The Virtual Assistant Template brings together a number of best practices we’ve identified through the building of conversational experiences and automates integration of components that we’ve found to be highly beneficial to Bot Framework developers.

Big data and analytics

Data warehouse

AWS RedshiftSQL Data Warehouse

Cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data.

Big data processing EMR | Azure Databricks
Apache Spark-based analytics platform.

EMR HDInsight

Managed Hadoop service. Deploy and manage Hadoop clusters in Azure.

Data orchestration / ETL

AWS Data Pipeline, AWS Glue | Data Factory

Processes and moves data between different compute and storage services, as well as on-premises data sources at specified intervals. Create, schedule, orchestrate, and manage data pipelines.

AWS GlueData Catalog

A fully managed service that serves as a system of registration and system of discovery for enterprise data sources

Analytics and visualization

AWS Kinesis Analytics | Stream Analytics

Data Lake Analytics | Data Lake Store

Storage and analysis platforms that create insights from large quantities of data, or data that originates from many sources.

QuickSightPower BI

Business intelligence tools that build visualizations, perform ad hoc analysis, and develop business insights from data.

CloudSearchAzure Search

Delivers full-text search and related search analytics and capabilities.

Amazon AthenaAzure Data Lake Analytics

Provides a serverless interactive query service that uses standard SQL for analyzing databases.

Compute

Virtual servers

Elastic Compute Cloud (EC2)Azure Virtual Machines

Virtual servers allow users to deploy, manage, and maintain OS and server software. Instance types provide combinations of CPU/RAM. Users pay for what they use with the flexibility to change sizes.

AWS BatchAzure Batch

Run large-scale parallel and high-performance computing applications efficiently in the cloud.

AWS Auto ScalingVirtual Machine Scale Sets

Allows you to automatically change the number of VM instances. You set defined metric and thresholds that determine if the platform adds or removes instances.

VMware Cloud on AWSAzure VMware by CloudSimple

Redeploy and extend your VMware-based enterprise workloads to Azure with Azure VMware Solution by CloudSimple. Keep using the VMware tools you already know to manage workloads on Azure without disrupting network, security, or data protection policies.

Containers and container orchestrators

EC2 Container Service (ECS), FargateAzure Container Instances

Azure Container Instances is the fastest and simplest way to run a container in Azure, without having to provision any virtual machines or adopt a higher-level orchestration service.

EC2 Container RegistryAzure Container Registry

Allows customers to store Docker formatted images. Used to create all types of container deployments on Azure.

Elastic Container Service for Kubernetes (EKS)Azure Kubernetes Service (AKS)

Deploy orchestrated containerized applications with Kubernetes. Simplify monitoring and cluster management through auto upgrades and a built-in operations console.

App MeshService Fabric Mesh

Fully managed service that enables developers to deploy microservices applications without managing virtual machines, storage, or networking.
AWS App Mesh is a service mesh that provides application-level networking to make it easy for your services to communicate with each other across multiple types of compute infrastructure. App Mesh standardizes how your services communicate, giving you end-to-end visibility and ensuring high-availability for your applications.

Serverless

AWS Lambda | Azure Functions

Integrate systems and run backend processes in response to events or schedules without provisioning or managing servers.
AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of the Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code

Database

Relational database

AWS RDS | SQL Database Azure Database for MySQL Azure Database for PostgreSQL

Managed relational database service where resiliency, scale, and maintenance are primarily handled by the platform.
Amazon Relational Database Service is a distributed relational database service by Amazon Web Services. It is a web service running “in the cloud” designed to simplify the setup, operation, and scaling of a relational database for use in applications. Administration processes like patching the database software, backing up databases and enabling point-in-time recovery are managed automatically. Scaling storage and compute resources can be performed by a single API call as AWS does not offer an ssh connection to RDS instances.

NoSQL / Document

DynamoDB and SimpleDBAzure Cosmos DB

A globally distributed, multi-model database that natively supports multiple data models: key-value, documents, graphs, and columnar.

Caching

AWS ElastiCache | Azure Cache for Redis

An in-memory–based, distributed caching service that provides a high-performance store typically used to offload non transactional work from a database.
Amazon ElastiCache is a fully managed in-memory data store and cache service by Amazon Web Services. The service improves the performance of web applications by retrieving information from managed in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports two open-source in-memory caching engines: Memcached and Redis.

Database migration

AWS Database Migration ServiceAzure Database Migration Service

Migration of database schema and data from one database format to a specific database technology in the cloud.
AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. The AWS Database Migration Service can migrate your data to and from most widely used commercial and open-source databases.

DevOps and application monitoring

AWS CloudWatch, AWS X-Ray | Azure Monitor

Comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments.
Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers.
AWS X-Ray is an application performance management service that enables a developer to analyze and debug applications in the Amazon Web Services (AWS) public cloud. A developer can use AWS X-Ray to visualize how a distributed application is performing during development or production, and across multiple AWS regions and accounts.

AWS CodeDeploy, AWS CodeCommit, AWS CodePipeline | Azure DevOps

A cloud service for collaborating on code development.
AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Fargate, AWS Lambda, and your on-premises servers. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of updating your applications.
AWS CodePipeline is a fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates. CodePipeline automates the build, test, and deploy phases of your release process every time there is a code change, based on the release model you define.
AWS CodeCommit is a source code storage and version-control service for Amazon Web Services’ public cloud customers. CodeCommit was designed to help IT teams collaborate on software development, including continuous integration and application delivery.

AWS Developer ToolsAzure Developer Tools

Collection of tools for building, debugging, deploying, diagnosing, and managing multiplatform scalable apps and services.
The AWS Developer Tools are designed to help you build software like Amazon. They facilitate practices such as continuous delivery and infrastructure as code for serverless, containers, and Amazon EC2.

AWS CodeBuild | Azure DevOps

Fully managed build service that supports continuous integration and deployment.

AWS Command Line Interface | Azure CLI Azure PowerShell

Built on top of the native REST API across all cloud services, various programming language-specific wrappers provide easier ways to create solutions.
The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts.

AWS OpsWorks (Chef-based)Azure Automation

Configures and operates applications of all shapes and sizes, and provides templates to create and manage a collection of resources.
AWS OpsWorks is a configuration management service that provides managed instances of Chef and Puppet. Chef and Puppet are automation platforms that allow you to use code to automate the configurations of your servers.

AWS CloudFormation | Azure Resource Manager , VM extensions , Azure Automation

Provides a way for users to automate the manual, long-running, error-prone, and frequently repeated IT tasks.
AWS CloudFormation provides a common language for you to describe and provision all the infrastructure resources in your cloud environment. CloudFormation allows you to use a simple text file to model and provision, in an automated and secure manner, all the resources needed for your applications across all regions and accounts.

Networking

Area

Cloud virtual networking, Virtual Private Cloud (VPC) | Virtual Network

Provides an isolated, private environment in the cloud. Users have control over their virtual networking environment, including selection of their own IP address range, creation of subnets, and configuration of route tables and network gateways.

Cross-premises connectivity

AWS VPN Gateway | Azure VPN Gateway

Connects Azure virtual networks to other Azure virtual networks, or customer on-premises networks (Site To Site). Allows end users to connect to Azure services through VPN tunneling (Point To Site).

DNS management

AWS Route 53 | Azure DNS

Manage your DNS records using the same credentials and billing and support contract as your other Azure services

Route 53 | Traffic Manager

A service that hosts domain names, plus routes users to Internet applications, connects user requests to datacenters, manages traffic to apps, and improves app availability with automatic failover.

Dedicated network

AWS Direct Connect | ExpressRoute

Establishes a dedicated, private network connection from a location to the cloud provider (not over the Internet).

Load balancing

AWS Network Load Balancer | Azure Load Balancer

Azure Load Balancer load-balances traffic at layer 4 (TCP or UDP).

Application Load Balancer | Application Gateway

Application Gateway is a layer 7 load balancer. It supports SSL termination, cookie-based session affinity, and round robin for load-balancing traffic.

Internet of things (IoT)

AWS IoT | Azure IoT Hub

A cloud gateway for managing bidirectional communication with billions of IoT devices, securely and at scale.

AWS Greengrass | Azure IoT Edge

Deploy cloud intelligence directly on IoT devices to run in on-premises scenarios.

Kinesis Firehose, Kinesis Streams | Event Hubs

Services that allow the mass ingestion of small data inputs, typically from devices and sensors, to process and route the data.

AWS IoT Things Graph | Azure Digital Twins

Azure Digital Twins is an IoT service that helps you create comprehensive models of physical environments. Create spatial intelligence graphs to model the relationships and interactions between people, places, and devices. Query data from a physical space rather than disparate sensors.

Management

Trusted Advisor | Azure Advisor

Provides analysis of cloud resource configuration and security so subscribers can ensure they’re making use of best practices and optimum configurations.

AWS Usage and Billing Report | Azure Billing API

Services to help generate, monitor, forecast, and share billing data for resource usage by time, organization, or product resources.

AWS Management Console | Azure portal

A unified management console that simplifies building, deploying, and operating your cloud resources.

AWS Application Discovery Service | Azure Migrate

Assesses on-premises workloads for migration to Azure, performs performance-based sizing, and provides cost estimations.

Amazon EC2 Systems Manager | Azure Monitor

Comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments.

AWS Personal Health Dashboard | Azure Resource Health

Provides detailed information about the health of resources as well as recommended actions for maintaining resource health.

Security, identity, and access

Authentication and authorization

Identity and Access Management (IAM) | Azure Active Directory

Allows users to securely control access to services and resources while offering data security and protection. Create and manage users and groups, and use permissions to allow and deny access to resources.

Identity and Access Management (IAM) | Azure Role Based Access Control

Role-based access control (RBAC) helps you manage who has access to Azure resources, what they can do with those resources, and what areas they have access to.

AWS Organizations | Azure Subscription Management + Azure RBAC

Security policy and role management for working with multiple accounts.

Multi-Factor Authentication | Multi-Factor Authentication

Safeguard access to data and applications while meeting user demand for a simple sign-in process.

AWS Directory Service | Azure Active Directory Domain Services

Provides managed domain services such as domain join, group policy, LDAP, and Kerberos/NTLM authentication that are fully compatible with Windows Server Active Directory.

Cognito | Azure Active Directory B2C

A highly available, global, identity management service for consumer-facing applications that scales to hundreds of millions of identities.

AWS Organizations | Azure Policy

Azure Policy is a service in Azure that you use to create, assign, and manage policies. These policies enforce different rules and effects over your resources, so those resources stay compliant with your corporate standards and service level agreements.

AWS Organizations | Management Groups

Azure management groups provide a level of scope above subscriptions. You organize subscriptions into containers called “management groups” and apply your governance conditions to the management groups. All subscriptions within a management group automatically inherit the conditions applied to the management group. Management groups give you enterprise-grade management at a large scale, no matter what type of subscriptions you have.

Encryption

Server-side encryption with Amazon S3 Key Management Service | Azure Storage Service Encryption

Helps you protect and safeguard your data and meet your organizational security and compliance commitments.

Key Management Service AWS KMS, CloudHSM | Key Vault

Provides security solution and works with other services by providing a way to manage, create, and control encryption keys stored in hardware security modules (HSM).

Firewall

Web Application Firewall | Application Gateway – Web Application Firewall

A firewall that protects web applications from common web exploits.

Web Application Firewall | Azure Firewall

Provides inbound protection for non-HTTP/S protocols, outbound network-level protection for all ports and protocols, and application-level protection for outbound HTTP/S.

Security

Inspector | Security Center

An automated security assessment service that improves the security and compliance of applications. Automatically assess applications for vulnerabilities or deviations from best practices.

Certificate Manager | App Service Certificates available on the Portal

Service that allows customers to create, manage, and consume certificates seamlessly in the cloud.

GuardDuty | Azure Advanced Threat Protection

Detect and investigate advanced attacks on-premises and in the cloud.

AWS Artifact | Service Trust Portal

Provides access to audit reports, compliance guides, and trust documents from across cloud services.

AWS Shield | Azure DDos Protection Service

Provides cloud services with protection from distributed denial of services (DDoS) attacks.

Storage

Object storage

Simple Storage Services (S3) | Azure Blob storage

Object storage service, for use cases including cloud applications, content distribution, backup, archiving, disaster recovery, and big data analytics.

Virtual server disks

Elastic Block Store (EBS) | Azure managed disks

SSD storage optimized for I/O intensive read/write operations. For use as high-performance Azure virtual machine storage.

Shared files

Elastic File System | Azure Files

Provides a simple interface to create and configure file systems quickly, and share common files. Can be used with traditional protocols that access files over a network.

Archiving and backup

S3 Infrequent Access (IA) | Azure Storage cool tier

Cool storage is a lower-cost tier for storing data that is infrequently accessed and long-lived.

S3 Glacier | Azure Storage archive access tier

Archive storage has the lowest storage cost and higher data retrieval costs compared to hot and cool storage.

AWS Backup | Azure Backup

Back up and recover files and folders from the cloud, and provide offsite protection against data loss.

Hybrid storage

Storage Gateway | StorSimple

Integrates on-premises IT environments with cloud storage. Automates data management and storage, plus supports disaster recovery.

Bulk data transfer

AWS Import/Export Disk | Import/Export

A data transport solution that uses secure disks and appliances to transfer large amounts of data. Also offers data protection during transit.

AWS Import/Export Snowball, Snowball Edge, Snowmobile | Azure Data Box

Petabyte- to exabyte-scale data transport solution that uses secure data storage devices to transfer large amounts of data to and from Azure.

Web applications

Elastic Beanstalk | App Service

Managed hosting platform providing easy to use services for deploying and scaling web applications and services.

API Gateway | API Management

A turnkey solution for publishing APIs to external and internal consumers.

CloudFront | Azure Content Delivery Network

A global content delivery network that delivers audio, video, applications, images, and other files.

Global Accelerator | Azure Front Door

Easily join your distributed microservice architectures into a single global application using HTTP load balancing and path-based routing rules. Automate turning up new regions and scale-out with API-driven global actions, and independent fault-tolerance to your back end microservices in Azure—or anywhere.

Miscellaneous

Backend process logic

AWS Step Functions | Logic Apps

Cloud technology to build distributed applications using out-of-the-box connectors to reduce integration challenges. Connect apps, data and devices on-premises or in the cloud.

Enterprise application services

Amazon WorkMail, Amazon WorkDocs | Office 365

Fully integrated Cloud service providing communications, email, document management in the cloud and available on a wide variety of devices.

Gaming

GameLift, GameSparks | PlayFab

Managed services for hosting dedicated game servers.

Media transcoding

Elastic Transcoder | Media Services

Services that offer broadcast-quality video streaming services, including various transcoding technologies.

Workflow

Simple Workflow Service (SWF) | Logic Apps

Serverless technology for connecting apps, data and devices anywhere, whether on-premises or in the cloud for large ecosystems of SaaS and cloud-based connectors.

Hybrid

Outposts | Azure Stack

Azure Stack is a hybrid cloud platform that enables you to run Azure services in your company’s or service provider’s datacenter. As a developer, you can build apps on Azure Stack. You can then deploy them to either Azure Stack or Azure, or you can build truly hybrid apps that take advantage of connectivity between an Azure Stack cloud and Azure.

How does a business decide between Microsoft Azure or AWS?

Basically, it all comes down to what your organizational needs are and if there’s a particular area that’s especially important to your business (ex. serverless, or integration with Microsoft applications).

Some of the main things it comes down to is compute options, pricing, and purchasing options.

Here’s a brief comparison of the compute option features across cloud providers:

Here’s an example of a few instances’ costs (all are Linux OS):

Each provider offers a variety of options to lower costs from the listed On-Demand prices. These can fall under reservations, spot and preemptible instances and contracts.

Both AWS and Azure offer a way for customers to purchase compute capacity in advance in exchange for a discount: AWS Reserved Instances and Azure Reserved Virtual Machine Instances. There are a few interesting variations between the instances across the cloud providers which could affect which is more appealing to a business.

Another discounting mechanism is the idea of spot instances in AWS and low-priority VMs in Azure. These options allow users to purchase unused capacity for a steep discount.

With AWS and Azure, enterprise contracts are available. These are typically aimed at enterprise customers, and encourage large companies to commit to specific levels of usage and spend in exchange for an across-the-board discount – for example, AWS EDPs and Azure Enterprise Agreements.

You can read more about the differences between AWS and Azure to help decide which your business should use in this blog post

Source: AWS to Azure services comparison – Azure Architecture

Pros and Cons of Cloud Computing

Cloud User insurance and Cloud Provider Insurance

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Cloud computing is the new big thing in Information Technology. Everyone, every business will sooner or later adopt it, because of hosting cost benefits, scalability and more.

This blog outlines the Pros and Cons of Cloud Computing, Pros and Cons of Cloud Technology, Faqs, Facts, Questions and Answers Dump about cloud computing.

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What is cloud computing?

Cloud computing is an information technology paradigm that enables ubiquitous access to shared pools of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet. Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a public utility.
Simply put, cloud computing is the delivery of computing services including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale. You typically pay only for cloud services you use, helping you lower your operating costs, run your infrastructure more efficiently, and scale as your business needs change.

What are the Pros of using cloud computing? What are characteristics of cloud computing?

  • Trade Capital expense for variable expense
  • Benefit from massive economies of scale
  • Stop guessing capacity
  • Increase speed and agility
  • Stop spending money on running and maintaining data centers
  • Go global in minutes
  • Benefits of AWS Cloud Computing
    Benefits of AWS Cloud Computing


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  • Cost effective & Time saving: Cloud computing eliminates the capital expense of buying hardware and software and setting up and running on-site datacenters; the racks of servers, the round-the-clock electricity for power and cooling, and the IT experts for managing the infrastructure.
  • The ability to pay only for cloud services you use, helping you lower your operating costs.
  • Powerful server capabilities and Performance: The biggest cloud computing services run on a worldwide network of secure datacenters, which are regularly upgraded to the latest generation of fast and efficient computing hardware. This offers several benefits over a single corporate datacenter, including reduced network latency for applications and greater economies of scale.
  • Powerful and scalable server capabilities: The ability to scale elastically; That means delivering the right amount of IT resources—for example, more or less computing power, storage, bandwidth—right when they’re needed, and from the right geographic location.
  • SaaS ( Software as a service). Software as a service is a method for delivering software applications over the Internet, on demand and typically on a subscription basis. With SaaS, cloud providers host and manage the software application and underlying infrastructure, and handle any maintenance, like software upgrades and security patching. Users connect to the application over the Internet, usually with a web browser on their phone, tablet, or PC.
  • PaaS ( Platform as a service). Platform as a service refers to cloud computing services that supply an on-demand environment for developing, testing, delivering, and managing software applications. PaaS is designed to make it easier for developers to quickly create web or mobile apps, without worrying about setting up or managing the underlying infrastructure of servers, storage, network, and databases needed for development.
  • IaaS ( Infrastructure as a service). The most basic category of cloud computing services. With IaaS, you rent IT infrastructure—servers and virtual machines (VMs), storage, networks, operating systems—from a cloud provider on a pay-as-you-go basis
  • Serverless: Running complex Applications without a single server. Overlapping with PaaS, serverless computing focuses on building app functionality without spending time continually managing the servers and infrastructure required to do so. The cloud provider handles the setup, capacity planning, and server management for you. Serverless architectures are highly scalable and event-driven, only using resources when a specific function or trigger occurs.
  • Infrastructure provisioning as code, helps recreating same infrastructure by re-running the same code in a few click.
  • Automatic and Reliable Data backup and storage of data: Cloud computing makes data backup, disaster recovery, and business continuity easier and less expensive because data can be mirrored at multiple redundant sites on the cloud provider’s network.
  • Increase Productivity: On-site datacenters typically require a lot of “racking and stacking”—hardware setup, software patching, and other time-consuming IT management chores. Cloud computing removes the need for many of these tasks, so IT teams can spend time on achieving more important business goals.
  • Security: Many cloud providers offer a broad set of policies, technologies, and controls that strengthen your security posture overall, helping protect your data, apps, and infrastructure from potential threats.
  • Speed: Most cloud computing services are provided self service and on demand, so even vast amounts of computing resources can be provisioned in minutes, typically with just a few mouse clicks, giving businesses a lot of flexibility and taking the pressure off capacity planning. In a cloud computing environment, new IT resources are only a click away. This means that the time those resources are available to your developers is reduced from weeks to minutes. As a result, the organization experiences a dramatic increase in agility because the cost and time it takes to experiment and develop is lower
  • Go global in minutes
    Easily deploy your application in multiple regions around the world with just a few clicks. This means that you can provide a lower latency and better experience for your customers simply and at minimal cost.

What are the Cons of using cloud computing?

  • Privacy: Cloud computing poses privacy concerns because the service provider can access the data that is in the cloud at any time. It could accidentally or deliberately alter or delete information.Many cloud providers can share information with third parties if necessary for purposes of law and order without a warrant. That is permitted in their privacy policies, which users must agree to before they start using cloud services.
  • Security: According to the Cloud Security Alliance, the top three threats in the cloud are Insecure Interfaces and API’s, Data Loss & Leakage, and Hardware Failure—which accounted for 29%, 25% and 10% of all cloud security outages respectively. Together, these form shared technology vulnerabilities.
  • Ownership of Data: There is the problem of legal ownership of the data (If a user stores some data in the cloud, can the cloud provider profit from it?). Many Terms of Service agreements are silent on the question of ownership.
  • Limited Customization Options: Cloud computing is cheaper because of economics of scale, and—like any outsourced task—you tend to get what you get. A restaurant with a limited menu is cheaper than a personal chef who can cook anything you want.
  • Downtime: Technical outages are inevitable and occur sometimes when cloud service providers (CSPs) become overwhelmed in the process of serving their clients. This may result to temporary business suspension.
  • Insurance : It can be expensive to insure the customer and business data and infrastructure hosted in the cloud. A cyber insurance is necessary when using the cloud.
  • Other concerns of cloud computing.

      • Users with specific records-keeping requirements, such as public agencies that must retain electronic records according to statute, may encounter complications with using cloud computing and storage. For instance, the U.S. Department of Defense designated the Defense Information Systems Agency (DISA) to maintain a list of records management products that meet all of the records retention, personally identifiable information (PII), and security (Information Assurance; IA) requirements
      • Cloud storage is a rich resource for both hackers and national security agencies. Because the cloud holds data from many different users and organizations, hackers see it as a very valuable target.
    • Piracy and copyright infringement may be enabled by sites that permit filesharing. For example, the CodexCloud ebook storage site has faced litigation from the owners of the intellectual property uploaded and shared there, as have the GrooveShark and YouTube sites it has been compared to.

What are the different types of cloud computing?


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  • Public clouds: A cloud is called a “public cloud” when the services are rendered over a network that is open for public use. They are owned and operated by a third-party cloud service providers, which deliver their computing resources, like servers and storage, over the Internet. Microsoft Azure is an example of a public cloud. With a public cloud, all hardware, software, and other supporting infrastructure is owned and managed by the cloud provider. You access these services and manage your account using a web browser. For infrastructure as a service (IaaS) and platform as a service (PaaS), Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) hold a commanding position among the many cloud companies.
  • Private cloud is cloud infrastructure operated solely for a single organization, whether managed internally or by a third party, and hosted either internally or externally. A private cloud refers to cloud computing resources used exclusively by a single business or organization. A private cloud can be physically located on the company’s on-site datacenter. Some companies also pay third-party service providers to host their private cloud. A private cloud is one in which the services and infrastructure are maintained on a private network.
  • Hybrid cloud is a composition of a public cloud and a private environment, such as a private cloud or on-premise resources, that remain distinct entities but are bound together, offering the benefits of multiple deployment models. Hybrid cloud can also mean the ability to connect collocation, managed and/or dedicated services with cloud resources. Hybrid clouds combine public and private clouds, bound together by technology that allows data and applications to be shared between them. By allowing data and applications to move between private and public clouds, a hybrid cloud gives your business greater flexibility, more deployment options, and helps optimize your existing infrastructure, security, and compliance.
  • Community Cloud: A community cloud in computing is a collaborative effort in which infrastructure is shared between several organizations from a specific community with common concerns, whether managed internally or by a third-party and hosted internally or externally. This is controlled and used by a group of organizations that have shared interest. The costs are spread over fewer users than a public cloud, so only some of the cost savings potential of cloud computing are realized.

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Other AWS Facts and Summaries and Questions/Answers Dump

Reference

Cloud User insurance and Cloud Provider Insurance

Cloud User insurance and Cloud Provider Insurance

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In this blog, we are going to explore the following topics and provide some suggestions and recommendations:

As cloud user, cloud customer, company storing customer data in the cloud, you probably have a lot of personal or private data hosted in various infrastructure in the cloud. Losing that data or having the data accessed by hackers or unauthorized third party can be very harmful both financially and emotionally to you or your customers. A cloud User or Customer Insurance can protect you against data lost or stolen data. Practically, the cloud computing insurance is a cyber liability policy that covers web-based services. Before looking for a customer insurance in the cloud, you need to clarify “What data should the insurance cover and under which governing laws?“, “What data can be considered a loss?” . The good news is : as cloud adoption is increasing in the insurance industry, insurers have the opportunity to better understand their operations models and to implement tailored insurance solutions for cloud.

Cloud Data loss can happen in the following forms:

First Party Losses: losses where the cloud provider incurs damages. Those types of losses include:

  • Destruction of Data
  • Denial of Service Attack (DOS)
  • Virus, Malware and Spyware
  • Human Error
  • Electrical Malfunctions and Power Surges in data centers
  • Natural Disasters
  • Network Failures
  • Cyber Extortion

Each of the above exposures to loss would result in direct damages to the insured, or first-party loss.

Third-Party Losses – damages that would occur to customers outside of the cloud provider. These types of losses include:

  • Breach of Privacy
  • Misuse of Private Personal Information
  • Defamation or Slander
  • Transmission of Malicious Content

The above exposures could result in a company being held liable for the damages caused to others (liability).

Cyber insurance is a form of insurance for businesses and individuals against internet-based risks. The most common risk that is insured against is data breaches. … It also covers losses from network security breaches, theft of intellectual property and loss of privacy.

Data Compromise coverage insures a commercial entity when there is a data breach, theft or unauthorized disclosure of personal information. … Thus Cyber Liability covers both the expenses to notify affected individuals of data breaches and the expenses to make the insured whole for their own damages incurred.

Some insurance companies that specialize in Cyber Insurance include:

Contact an Independent Insurance Agent near you that writes Cyber Insurance and ask them to get multiple quotes for your business.

However, a more effective risk management solution might be loss control rather than financing. If you encrypt your data at rest and set up and adopt a process of automatic regular backups, and geographically distribute those backups , then you have effectively minimized the potential costs of loss.

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Cyber Insurance is not yet standardized as many other forms of commercial insurance. Therefore, breadth of coverage and pricing can vary widely.

Below is AWS commitment to data privacy:

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  • Access: As a customer, you maintain full control of your content and responsibility for configuring access to AWS services and resources. We provide an advanced set of access, encryption, and logging features to help you do this effectively (e.g., AWS Identity and Access Management, AWS Organizations and AWS CloudTrail). We provide APIs for you to configure access control permissions for any of the services you develop or deploy in an AWS environment. We do not access or use your content for any purpose without your consent. We never use your content or derive information from it for marketing or advertising.
  • Storage: You choose the AWS Region(s) in which your content is stored and the type of storage. You can replicate and back up your content in more than one AWS Region. We will not move or replicate your content outside of your chosen AWS Region(s) without your consent, except as legally required and as necessary to maintain the AWS services.
  • Security: You choose how your content is secured. We offer you strong encryption for your content in transit and at rest, and we provide you with the option to manage your own encryption keys. These features include:
    • Data encryption capabilities available in AWS storage and database services, such as Amazon Elastic Block Store, Amazon Simple Storage Service, Amazon Relational Database Service, and Amazon Redshift.
    • Flexible key management options, including AWS Key Management Service (KMS), allow customers to choose whether to have AWS manage the encryption keys or enable customers to keep complete control over their keys.
    • AWS customers can employ Server-Side Encryption (SSE) with Amazon S3-Managed Keys (SSE-S3), SSE with AWS KMS-Managed Keys (SSE-KMS), or SSE with Customer-Provided Encryption Keys (SSE-C).
  • Disclosure of customer content: We do not disclose customer information unless we’re required to do so to comply with a legally valid and binding order. Unless prohibited from doing so or there is clear indication of illegal conduct in connection with the use of Amazon products or services, Amazon notifies customers before disclosing content information.
  • Security Assurance: We have developed a security assurance program that uses best practices for global privacy and data protection to help you operate securely within AWS, and to make the best use of our security control environment. These security protections and control processes are independently validated by multiple third-party independent assessments

Microsoft Azure Data Privacy and protection Commitment

Google Cloud commitment to data privacy and security:

What types of business insurance are available?

  • Property and Casualty Insurance: Property insurance covers the physical location of the business and its contents from things like fire, theft, flood, and earthquakes—although read the terms carefully to make sure they include everything you need. Casualty insurance, on the other hand, covers the operation of the business, but the two are usually grouped together in policies.
  • Auto Insurance: Auto insurance protects you against financial loss if you have an accident. It is a contract between you and the insurance company.
  • Liability Insurance: Liability insurance is insurance that provides protection against claims resulting from injuries and damage property.
  • Business Insurance: Business interruption insurance can make up for lost cash flow and profits incurred because of an event that has interrupted your normal business operations.
  • Health and Disability Insurance: Health insurance provides health coverage for you and your employees. This insurance covers your employees for the expenses and loss of income caused by non work-related injuries, illnesses, and disabilities and death from any cause.
  • Life Insurance: Life and disability insurance covers your business in the event of the death or disability of key owners.
  • Cyber Insurance: Cover Data loss, destruction of data, privacy breach, Denial of Service Attack (DOS), Network failure, Transmission of Malicious Content, Misuse of personal or private information, etc.
  • Crime & Employee Dishonesty Insurance: To cover your business for fraudulent acts committed by your employees, e.g. theft or embezzlement of money, securities, and other business-owned property and for burglary, theft, and robbery of cash and other representations of money, e.g. money orders, postage stamps, travelers checks, and readily convertible securities, e.g. bearer bonds;
  • Mandatory Workers Compensation Insurance: To cover your employees for injuries and illnesses sustained during the course of employment. This would include medical expenses and loss of income due to a work-related disability;
  • Transportation/Inland & Ocean Marine Insurance: To pay for loss of damage to property you own or are responsible for while it is being transported or shipped to or from customers, manufacturers, processors, assemblers, warehouses, etc. by air, ship, or land vehicles either domestically or internationally.
  • Umbrella Liability Insurance: To provide an additional layer of liability insurance over your primary automobile liability, general liability, employers liability, and, if applicable, watercraft or aircraft liability policies;
  • Directors & Officers Liability Insurance: To defend your business and its directors or officers against allegations that they mismanaged the business in some way which caused financial loss to your clients (and/or others) and pay money damages in a court trial or settlement;
  • Condos Unit Owners Personal Insurance & Landlord / Rental Property Insurance: Cover expenses that come from having a loss within your property. Whether the unit owner is living in their unit or not, it is your responsibility to ensure that your personal assets and liabilities are adequately protected by your own personal insurance policy. This coverage includes all the content items that are brought into a unit or stored in a storage locker or premises, such as furnishings, electronics, clothing, etc. Most policies out there will also cover personal property while it is temporary off premises, on vacation for example.
  • Landlord property coverage is to protect the property that you own within your rental unit, which includes but is not limited to, appliances, window coverings, or if you rent out your unit fully furnished, then all of that property that is yours.
  • Rental Property insurance coverage allows you to protect you revenue source. Your property is your responsibility and if you property gets damaged by an insured peril, and your tenant can’t live there for a month or two (or more), you can purchase insurance to replace that rental income for the period of time your property is inhabitable.

Do online businesses need insurance?

All businesses need insurance. Here are some suggestions:

Property Insurance: To cover your owned, non-owned, and leased business property (contents, buildings if applicable, computers, office supplies, and any other property that you need to operate your business) for such perils as fire, windstorm, smoke damage, water damage, and theft.

EDP Insurance: To cover your computer hardware and software for such perils as mechanical breakdown and electrical injury;

Cyber Property and Liability Insurance: To cover your business for its activities on the Internet. Cyber Property coverages apply to losses sustained by your company directly. An example is damage to your company’s electronic data files caused by a hacker/security breach. Cyber Liability coverages apply to claims against your company by people who have been injured as a result of your actions or failure to act. For instance, a client sues you for negligence after his personal data, e.g credit card numbers or confidential information is stolen from your computer system and released online.

Loss of Income (Business Interruption) Insurance: To cover your business for the loss of income you would sustain because it was damaged by a covered peril under your property insurance, e.g. fire, windstorm, smoke damage, and theft;

Read this blog about insurance for E-commerce

Thinking of purchasing cyber insurance? Make sure the policy you choose covers more than paying ransomware. Paying cyber criminals should be a last resort. Your policy should include cleaning & rebuilding current systems, hiring experts, & purchasing new protections.

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Resource:

1- Quora

2- AWS Data privacy

3- Does Cyber insurance makes sense?

4- What does cyber insurance do? What does it protect?


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The purpose of cyber security is to protect all forms of digital data. Protecting personal information (SSN, credit card information, etc.), protecting proprietary information .(Facebook algorithms, Tesla vehicle designs, etc.), and other forms of digital data.

5- Cloud based Insurance Providers

* https://www.cloudinsurance.io

6- Understanding Cloud insurance

Cloud computing insurance is meant to protect a cloud provider. The implementation of a system and the preservation of important information comes with risks. If anything goes wrong, such as an outage at a critical time that results in business interruption, your client can hold you responsible and seek damages. Cloud insurance can not only provide compensation to your client as a result of a claim against you, but can also cover your legal defense and lost income.

7- Ransomware still dominates the cyber threat landscape in 2019: Europol report.

Below is a listing of AWS certification exam quiz apps for all platforms:

AWS Certified Cloud practitioner Exam Prep FREE version: CCP, CLF-C01

IOS: https://apps.apple.com/ca/app/aws-certified-cloud-pract-prep/id1488832117

Microsoft/Windows10:https://www.microsoft.com/en-ca/p/aws-certified-cloud-practitioner-exam-preparation/9ns1xttj1d5s

Google play: https://play.google.com/store/apps/details?id=com.awscloudpractitonerexamprep.enoumen

Amazon App Store (Android): https://www.amazon.com/dp/B085MFT53J/ref=mp_s_a_1_2?keywords=cloud+practitioner&qid=1583633225&s=mobile-apps&sr=1-2

Web/PWA: https://aws-cloud-practitioner-exam.firebaseapp.com

Cloud Practitioner PRO Versions:

ios: https://apps.apple.com/ca/app/aws-certified-cloud-pract-pro/id1501104845

android google : https://play.google.com/store/apps/details?id=com.awscloudpractitonerexampreppro.enoumen

Amazon android: https://www.amazon.com/dp/B085HGKRMG/ref=pe_385040_118058080_TE_M1DP

Windows 10: https://www.microsoft.com/en-ca/p/aws-certified-cloud-practitioner-exam-preparation-quiz-pro/9phhz236gh4d

AWS Certified Solution Architect Associate Exam Prep FREE version: SAA, SAA-C01, SAA-C02

Google: https://play.google.com/store/apps/details?id=com.awssolutionarchitectassociateexamprep.app

iOS: https://apps.apple.com/ca/app/solution-architect-assoc-quiz/id1501225766[aws Certified Exam Quiz apps](https://apps.apple.com/ca/app/solution-architect-assoc-quiz/id1501225766)

Web(All platforms): https://awscertifiedsolutionarchitectexamprep.com/

Amazon android: ‪http://www.amazon.com/dp/B085MG99H9/ref=cm_sw_r_tw_awdm_xs_pqfzEb4HSYJV1‬

Microsoft/Windows10: https://www.microsoft.com/en-ca/p/aws-certified-solution-architect-associate-exam-prep/9ncch3cgskmp

Solution Architect PRO versions:

Ios: https://apps.apple.com/ca/app/solution-architect-assoc-pro/id1501465417

Android google: https://play.google.com/store/apps/details?id=com.awssolutionarchitectassociateexampreppro.app

Windows10: not available yet

Amazon android: https://www.amazon.com/dp/B085HR898X/ref=pe_385040_118058080_TE_M1DP

AWS Certified Developer Associate Exam Prep: DVA-C01

android: https://play.google.com/store/apps/details?id=com.awscertdevassociateexampreppro.enoumen

iOs: https://apps.apple.com/ca/app/aws-certified-developer-assoc/id1511211095

PRO version with mock exam android: https://play.google.com/store/apps/details?id=com.awscertdevassociateexampreppro.enoumen

PRO version with mock exam ios: https://apps.apple.com/ca/app/aws-certified-dev-ass-dva-c01/id1506519319t

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