AWS Azure Google Cloud Certifications Testimonials and Dumps

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AWS Azure Google Cloud Certifications Testimonials and Dumps

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.

85% of hiring managers say cloud certifications make a candidate more attractive.

Build the skills that’ll drive your career into six figures.

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

https://apps.apple.com/ca/app/djamgatech-pro/id1574297762
AWS Azure Google Cloud Certifications Testimonials and Dumps
AWS Developer Associates DVA-C01 PRO
 

PASSED AWS CCP (2022)

AWS Cloud Practitioner CCP CLF-C01 Certification Exam Prep

Went through the entire CloudAcademy course. Most of the info went out the other ear. Got a 67% on their final exam. Took the ExamPro free exam, got 69%.

Was going to take it last Saturday, but I bought TutorialDojo’s exams on Udemy. Did one Friday night, got a 50% and rescheduled it a week later to today Sunday.

Took 4 total TD exams. Got a 50%, 54%, 67%, and 64%. Even up until last night I hated the TD exams with a passion, I thought they were covering way too much stuff that didn’t even pop up in study guides I read. Their wording for some problems were also atrocious. But looking back, the bulk of my “studying” was going through their pretty well written explanations, and their links to the white papers allowed me to know what and where to read.


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Not sure what score I got yet on the exam. As someone who always hated testing, I’m pretty proud of myself. I also had to take a dump really bad starting at around question 25. Thanks to TutorialsDojo Jon Bonso for completely destroying my confidence before the exam, forcing me to up my game. It’s better to walk in way over prepared than underprepared.

Just Passed My CCP exam today (within 2 weeks)

I would like to thank this community for recommendations about exam preparation. It was wayyyy easier than I expected (also way easier than TD practice exams scenario-based questions-a lot less wordy on real exam). I felt so unready before the exam that I rescheduled the exam twice. Quick tip: if you have limited time to prepare for this exam, I would recommend scheduling the exam beforehand so that you don’t procrastinate fully.

Resources:

-Stephane’s course on Udemy (I have seen people saying to skip hands-on videos but I found them extremely helpful to understand most of the concepts-so try to not skip those hands-on)

-Tutorials Dojo practice exams (I did only 3.5 practice tests out of 5 and already got 8-10 EXACTLY worded questions on my real exam)

Previous Aws knowledge:

-Very little to no experience (deployed my group’s app to cloud via Elastic beanstalk in college-had 0 clue at the time about what I was doing-had clear guidelines)

Preparation duration: -2 weeks (honestly watched videos for 12 days and then went over summary and practice tests on the last two days)

Links to resources:

https://www.udemy.com/course/aws-certified-cloud-practitioner-new/

https://tutorialsdojo.com/courses/aws-certified-cloud-practitioner-practice-exams/

I used Stephane Maarek on Udemy. Purchased his course and the 6 Practice Exams. Also got Neal Davis’ 500 practice questions on Udemy. I took Stephane’s class over 2 days, then spent the next 2 weeks going over the tests (3~4 per day) till I was constantly getting over 80% – passed my exam with a 882.

Passed – CCP CLF-C01

 

What an adventure, I’ve never really gieven though to getting a cert until one day it just dawned on me that it’s one of the few resources that are globally accepted. So you can approach any company and basically prove you know what’s up on AWS 😀

Passed with two weeks of prep (after work and weekends)


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Resources Used:

  • https://www.exampro.co/

    • This was just a nice structured presentation that also gives you the powerpoint slides plus cheatsheets and a nice overview of what is said in each video lecture.

  • Udemy – AWS Certified Cloud Practitioner Practice Exams, created by Jon Bonso**, Tutorials Dojo**

    • These are some good prep exams, they ask the questions in a way that actually make you think about the related AWS Service. With only a few “Bullshit! That was asked in a confusing way” questions that popped up.

Pass AWS CCP. The score is beyond expected

I took CCP 2 days ago and got the pass notification right after submitting the answers. In about the next 3 hours I got an email from Credly for the badge. This morning I got an official email from AWS congratulating me on passing, the score is much higher than I expected. I took Stephane Maarek’s CCP course and his 6 demo exams, then Neal Davis’ 500 questions also. On all the demo exams, I took 1 fail and all passes with about 700-800. But in the real exam, I got 860. The questions in the real exam are kind of less verbose IMO, but I don’t truly agree with some people I see on this sub saying that they are easier.
Just a little bit of sharing, now I’ll find something to continue ^^

Good luck with your own exams.

Passed the exam! Spent 25 minutes answering all the questions. Another 10 to review. I might come back and update this post with my actual score.

Background

– A year of experience working with AWS (e.g., EC2, Elastic Beanstalk, Route 53, and Amplify).

– Cloud development on AWS is not my strong suit. I just Google everything, so my knowledge is very spotty. Less so now since I studied for this exam.

Study stats

– Spent three weeks studying for the exam.

– Studied an hour to two every day.

– Solved 800-1000 practice questions.

– Took 450 screenshots of practice questions and technology/service descriptions as reference notes to quickly swift through on my phone and computer for review. Screenshots were of questions that I either didn’t know, knew but was iffy on, or those I believed I’d easily forget.

– Made 15-20 pages of notes. Chill. Nothing crazy. This is on A4 paper. Free-form note taking. With big diagrams. Around 60-80 words per page.

– I was getting low-to-mid 70%s on Neal Davis’s and Stephane Maarek’s practice exams. Highest score I got was an 80%.

– I got a 67(?)% on one of Stephane Maarek’s exams. The only sub-70% I ever got on any practice test. I got slightly anxious. But given how much harder Maarek’s exams are compared to the actual exam, the anxiety was undue.

– Finishing the practice exams on time was never a problem for me. I would finish all of them comfortably within 35 minutes.

Resources used

– AWS Cloud Practitioner Essentials on the AWS Training and Certification Portal

– AWS Certified Cloud Practitioner Practice Tests (Book) by Neal Davis

– 6 Practice Exams | AWS Certified Cloud Practitioner CLF-C01 by Stephane Maarek*

– Certified Cloud Practitioner Course by Exam Pro (Paid Version)**

– One or two free practice exams found by a quick Google search

*Regarding Exam Pro: I went through about 40% of the video lectures. I went through all the videos in the first few sections but felt that watching the lectures was too slow and laborious even at 1.5-2x speed. (The creator, for the most part, reads off of the slides, adding brief comments here and there.) So, I decided to only watch the video lectures for sections I didn’t have a good grasp on. (I believe the video lectures provided in the course are just split versions of the full length course available for free on YouTube under the freeCodeCamp channel, here.) The online course provides five practice exams. I did not take any of them.

**Regarding Stephane Maarek: I only took his practice exams. I did not take his study guide course.

Notes

– My study regimen (i.e., an hour to two every day for three weeks) was overkill.

– The questions on the practice exams created by Neal Davis and Stephane Maarek were significantly harder than those on the actual exam. I believe I could’ve passed without touching any of these resources.

– I retook one or two practice exams out of the 10+ I’ve taken. I don’t think there’s a need to retake the exams as long as you are diligent about studying the questions and underlying concepts you got wrong. I reviewed all the questions I missed on every practice exam the day before.

What would I do differently?

Ace the Microsoft Azure Fundamentals AZ-900 Certification Exam: Pass the Azure Fundamentals Exam with Ease

– Focus on practice tests only. No video lectures.

– Focus on the technologies domain. You can intuit your way through questions in the other domains.

– Chill

What are the Top 100 AWS jobs you can get with an AWS certification in 2022 plus AWS Interview Questions
AWS SAA-C02 SAA-C03 Exam Prep

Just passed SAA-C03, thoughts on it

 
  • Lots of the comments here about networking / VPC questions being prevalent are true. Also so many damn Aurora questions, it was like a presales chat.

  • The questions are actually quite detailed; as some had already mentioned. So pay close attention to the minute details Some questions you definitely have to flag for re-review.

  • It is by far harder than the Developer Associate exam, despite it having a broader scope. The DVA-C02 exam was like doing a speedrun but this felt like finishing off Sigrun on GoW. Ya gotta take your time.

I took the TJ practice exams. It somewhat helped, but having intimate knowledge of VPC and DB concepts would help more.

Passed SAA-C03 – Feedback

Just passed the SAA-C03 exam (864) and wanted to provide some feedback since that was helpful for me when I was browsing here before the exam.

I come from an IT background and have a strong knowledge in the VPC portion so that section was a breeze for me in the preparation process (I had never used AWS before this so everything else was new, but the concepts were somewhat familiar considering my background). I started my preparation about a month ago, and used the Mareek class on Udemy. Once I finished the class and reviewed my notes I moved to Mareek’s 6 practice exams (on Udemy). I wasn’t doing extremely well on the PEs (I passed on 4/6 of the exams with 70s grades) I reviewed the exam questions after each exam and moved on to the next. I also purchased Tutorial Dojo’s 6 exams set but only ended up taking one out of 6 (which I passed).

Overall the practice exams ended up being a lot harder than the real exam which had mostly the regular/base topics: a LOT of S3 stuff and storage in general, a decent amount of migration questions, only a couple questions on VPCs and no ML/AI stuff.

My Study Guide for passing the SAA-C03 exam

Sharing the study guide that I followed when I prepared for the AWS Certified Solutions Architect Associate SAA-C03 exam. I passed this test and thought of sharing a real exam experience in taking this challenging test.

First off: my background – I have 8 years of development.experience and been doing AWS for several project, both personally and at work. Studied for a total of 2 months. Focused on the official Exam Guide, and carefully studied the Task Statements and related AWS services.

SAA-C03 Exam Prep

For my exam prep, I bought the adrian cantrill video coursetutorialsdojo (TD) video course and practice exams. Adrian’s course is just right and highly educational but like others has said, the content is long and cover more than just the exam. Did all of the hands-on labs too and played around some machine learning services in my AWS account.

TD video course is short and a good overall summary of the topics items you’ve just learned. One TD lesson covers multiple topics so the content is highly concise. After I completed doing Adrian’s video course, I used TD’s video course as a refresher, did a couple of their hands-on labs then head on to their practice exams.

If you are looking for an all-in-one solution to help you prepare for the AWS Cloud Practitioner Certification Exam, look no further than this AWS Cloud Practitioner CCP CLF-C02 book

For the TD practice exams, I took the exam in chronologically and didn’t jumped back and forth until I completed all tests. I first tried all of the 7 timed-mode tests, and review every wrong ones I got on every attempt., then the 6 review-mode tests and the section/topic-based tests. I took the final-test mode roughly 3 times and this is by far one of the helpful feature of the website IMO. The final-test mode generates a unique set from all TD question bank, so every attempt is challenging for me. I also noticed that the course progress doesn’t move if I failed a specific test, so I used to retake the test that I failed.

The Actual SAA-C03 Exam

The actual AWS exam is almost the same with the ones in the TD tests where:

  • All of the questions are scenario-based

  • There are two (or more) valid solutions in the question, e.g:

    • Need SSL: options are ACM and self-signed URL

    • Need to store DB credentials: options are SSM Parameter Store and Secrets Manager

  • The scenarios are long-winded and asks for:

    • MOST Operationally efficient solution

    • MOST cost-effective

    • LEAST amount overhead

Overall, I enjoyed the exam and felt fully prepared while taking the test, thanks to Adrian and TD, but it doesn’t mean the whole darn thing is easy. You really need to put some elbow grease and keep your head lights on when preparing for this exam. Good luck to all and I hope my study guide helped out anyone who is struggling.

Another Passed SAA-C03?

Just another thread about passing the general exam? I passed SAA-C03 yesterday, would like to share my experience on how I earned the examination.

Background:

– graduate with networking background

– working experience on on-premise infrastructure automation, mainly using ansible, python, zabbix and etc.

– cloud experience, short period like 3-6 months with practice

– provisioned cloud application using terraform in azure and aws

Course that I used fully:

– AWS Certified Solutions Architect – Associate (SAA-C03) | learn.cantri (cantrill.io)

– AWS Certified Solutions Architect Associate Exam – SAA-C03 Study Path (tutorialsdojo.com)

Course that I used partially or little:

– Ultimate AWS Certified Solutions Architect Associate (SAA) | Udemy

– Practice Exams | AWS Certified Solutions Architect Associate | Udemy

Lab that I used:

– Free tier account with cantrill instruction

– Acloudguru lab and sandbox

– Percepio lab

Comment on course:

cantrill course is depth and lot of practical knowledge, like email alias and etc.. check in to know more

tutorialdojo practice exam help me filter the answer and guide me on correct answer. If I am wrong in specific topic, I rewatch cantrill video. However, there is some topics that not covered by cantrill but the guideline/review in practice exam will provide pretty much detail. I did all the other mode before the timed-based, after that get average 850 in timed-based exam, while scoring the final practice exam with 63/65. However, real examination is harder compared to practice exam in my opinion.

udemy course and practice exam, I go through some of them but I think the practice exam is quite hard compared to tutorialdojo.

lab – just get hand dirty and they will make your knowledge deep dive in your brain, my advice is try not only to do copy and paste lab but really read the description for each parameter in aws portal

Advice:

you need to know some general exam topics like how to:

– s3 private access

– ec2 availability

– kinesis product including firehose, data stream, blabla

– iam

My next target will be AWS SAP and CKA, still searching suitable material for AWS SAP but proposed mainly using acloudguru sandbox and homelab to learn the subject, practice with acantrill lab in github.

Good luck anyone!

Passed SAA

I wanted to give my personal experience. I have a background in IT, but I have never worked in AWS previous to 5 weeks ago. I got my Cloud Practitioner in a week and SAA after another 4 weeks of studying (2-4 hours a day). I used Cantril’s Course and Tutorials Dojo Practice Exams. I highly, highly recommend this combo. I don’t think I would have passed without the practice exams, as they are quite difficult. In my opinion, they are much more difficult than the actual exam. They really hit the mark on what kind of content you will see. I got a 777, and that’s with getting 70-80%’s on the practice exams. I probably could have done better, but I had a really rough night of sleep and I came down with a cold. I was really on the struggle bus halfway through the test.

I only had a couple of questions on ML / AI, so make sure you know the differences between them all. Lot’s of S3 and EC2. You really need to know these in and out.

My company is offering stipend’s for each certification, so I’m going straight to developer next.

Recently passed SAA-C03

Just passed my SAA-C03 yesterday with 961 points. My first time doing AWS certification. I used Cantrill’s course. Went through the course materials twice, and took around 6 months to study, but that’s mostly due to my busy schedule. I found his materials very detailed and probably go beyond what you’d need for the actual exam.

I also used Stephane’s practice exams on Udemy. I’d say it’s instrumental in my passing doing these to get used to the type of questions in the actual exams and review missing knowledge. Would not have passed otherwise.

Just a heads-up, there are a few things popped up that I did not see in the course materials or practice exams:

* Lake Formation: question about pooling data from RDS and S3, as well as controlling access.

* S3 Requester Pays: question about minimizing S3 data cost when sharing with a partner.

* Pinpoint journey: question about customer replying to SMS sent-out and then storing their feedback.

Not sure if they are graded or Amazon testing out new parts.

Cheers.

Another SAP-C01-Pass

Received my notification this morning that I passed 811.

Prep Time: 10 weeks 2hrs a day

Materials: Neil Davis videos/practice exam Jon Bonso practice exams White papers Misc YouTube videos Some hands on

Prof Experience: 4 years AWS using main services as architect

AWS Certs: CCP-SSA-DVA-SAP(now)

Thoughts: Exam was way more familiar to me than the Developer Exam. I use very little AWS developer tools but mainly use core AWS services. Neil’s videos were very straightforward, easy to digest, and on point. I was able to watch most of the videos on a plane flight to Vegas.

After video series I started to hit his section based exams, main exam, notes, and followed up with some hands on. I was getting destroyed on some of the exams early on and had to rewatch and research the topics, writing notes. There is a lot of nuance and fine details on the topics, you’ll see this when you take the practice exam. These little details matter.

Bonso’s exam were nothing less than awesome as per usual. Same difficulty and quality as Neil Davis. Followed the same routine with section based followed by final exam. I believe Neil said to aim for 80’s on his final exams to sit for the exam. I’d agree because that’s where I was hitting a week before the exam (mid 80’s). Both Neil and Jon exams were on par with exam difficulty if not a shade more difficult.

The exam itself was very straightforward. My experience is the questions were not overly verbose and were straight to the point as compared to the practice exams I took. I was able to quickly narrow down the questions and make a selection. Flagged 8 questions along the way and had 30min to review all my answers. Unlike some people, I didn’t feel like it was a brain melter and actually enjoyed the challenge. Maybe I’m a sadist who knows.

Advice: Follow Neil’s plan, bone up on weak areas and be confident. These questions have a pattern based upon the domain. Doing the practice exams enough will allow you to see the pattern and then research will confirm your suspicions. You can pass this exam!

Good luck to those preparing now and god speed.

 
AWS Developer Associate DVA-C01 Exam Prep
 
 
 

I Passed AWS Developer Associate Certification DVA-C01 Testimonials

AWS Developer and Deployment Theory: Facts and Summaries and Questions/Answers
AWS Developer Associate DVA-C01 Exam Prep

Passed DVA-C01

Passed the certified developer associate this week.

Primary study was Stephane Maarek’s course on Udemy.

I also used the Practice Exams by Stephane Maarek and Abhishek Singh.

I used Stephane’s course and practice exams for the Solutions Architect Associate as well, and find his course does a good job preparing you to pass the exams.

The practice exams were more challenging than the actual exam, so they are a good gauge to see if you are ready for the exam.

Haven’t decided if I’ll do another associate level certification next or try for the solutions architect professional.

Cleared AWS Certified Developer – Associate (DVA-C01)

 

I cleared Developer associate exam yesterday. I scored 873.
Actual Exam Exp: More questions were focused on mainly on Lambda, API, Dynamodb, cloudfront, cognito(must know proper difference between user pool and identity pool)
3 questions I found were just for redis vs memecached (so maybe you can focus more here also to know exact use case& difference.) other topic were cloudformation, beanstalk, sts, ec2. Exam was mix of too easy and too tough for me. some questions were one liner and somewhere too long.

Resources: The main resources I used was udemy. Course of Stéphane Maarek and practice exams of Neal Davis and Stéphane Maarek. These exams proved really good and they even helped me in focusing the area which I lacked. And they are up to the level to actual exam, I found 3-4 exact same questions in actual exam(This might be just luck ! ). so I feel, the course of stephane is more than sufficient and you can trust it. I have achieved solution architect associate previously so I knew basic things, so I took around 2 weeks for preparation and revised the Stephen’s course as much as possible. Parallelly I gave the mentioned exams as well, which guided me where to focus more.

Thanks to all of you and feel free to comment/DM me, if you think I can help you in anyway for achieving the same.

Another Passed Associate Developer Exam (DVA-C01)

Already had passed the Associate Architect Exam (SA-C03) 3 months ago, so I got much more relaxed to the exam, I did the exam with Pearson Vue at home with no problems. Used Adrian Cantrill for the course together with the TD exams.

Studied 2 weeks a 1-2 hours since there is a big overlap with the associate architect couse, even tho the exam has a different approach, more focused on the Serverless side of AWS. Lots of DynamoDB, Lambda, API Gateway, KMS, CloudFormation, SAM, SSO, Cognito (User Pool and Identity Pool), and IAM role/credentials best practices.

I do think in terms of difficulty it was a bit easier than the Associate Architect, maybe it is made up on my mind as it was my second exam so I went in a bit more relaxed.

Next step is going for the Associate Sys-Ops, I will use Adrian Cantrill and Stephane Mareek courses as it is been said that its the most difficult associate exam.

Passed the SCS-C01 Security Specialty 

Passed the SCS-C01 Security Specialty
Passed the SCS-C01 Security Specialty

Mixture of Tutorial Dojo practice exams, A Cloud Guru course, Neal Davis course & exams helped a lot. Some unexpected questions caught me off guard but with educated guessing, due to the material I studied I was able to overcome them. It’s important to understand:

  1. KMS Keys

    1. AWS Owned Keys

    2. AWS Managed KMS keys

    3. Customer Managed Keys

    4. asymmetrical

    5. symmetrical

    6. Imported key material

    7. What services can use AWS Managed Keys

  2. KMS Rotation Policies

    1. Depending on the key matters the rotation that can be applied (if possible)

  3. Key Policies

    1. Grants (temporary access)

    2. Cross-account grants

    3. Permanent Policys

    4. How permissions are distributed depending on the assigned principle

  4. IAM Policy format

    1. Principles (supported principles)

    2. Conditions

    3. Actions

    4. Allow to a service (ARN or public AWS URL)

    5. Roles

  5. Secrets Management

    1. Credential Rotation

    2. Secure String types

    3. Parameter Store

    4. AWS Secrets Manager

  6. Route 53

    1. DNSSEC

    2. DNS Logging

  7. Network

    1. AWS Network Firewall

    2. AWS WAF (some questions try to trick you into thinking AWS Shield is needed instead)

    3. AWS Shield

    4. Security Groups (Stateful)

    5. NACL (Stateless)

    6. Ephemeral Ports

    7. VPC FlowLogs

  8. AWS Config

    1. Rules

    2. Remediation (custom or AWS managed)

  9. AWS CloudTrail

    1. AWS Organization Trails

    2. Multi-Region Trails

    3. Centralized S3 Bucket for multi-account log aggregation

  10. AWS GuardDuty vs AWS Macie vs AWS Inspector vs AWS Detective vs AWS Security Hub

It gets more in depth, I’m willing to help anyone out that has questions. If you don’t mind joining my Discord to discuss amongst others to help each other out will be great. A study group community. Thanks. I had to repost because of a typo 🙁

https://discord.gg/pZbEnhuEY9

Passed the Security Specialty

Passed Security Specialty yesterday.

Resources used were:

Adrian (for the labs), Jon (For the Test Bank),

Total time spent studying was about a week due to the overlap with the SA Pro I passed a couple weeks ago.

Now working on getting Networking Specialty before the year ends.

My longer term goal is to have all the certs by end of next year.

 

Advanced Networking - Specialty

Advanced Networking – Specialty

Passed AWS Certified advanced networking – Specialty ANS-C01 2 days ago

 

This was a tough exam.

Here’s what I used to get prepped:

Exam guide book by Kam Agahian and group of authors – this just got released and has all you need in a concise manual, it also included 3 practice exams, this is a must buy for future reference and covers ALL current exam topics including container networking, SD-WAN etc.

Stephane Maarek’s Udemy course – it is mostly up-to-date with the main exam topics including TGW, network firewall etc. To the point lectures with lots of hands-on demos which gives you just what you need, highly recommended as well!

Tutorial Dojos practice tests to drive it home – this helped me get an idea of the question wording, so I could train myself to read fast, pick out key words, compare similar answers and build confidence in my knowledge.

Crammed daily for 4 weeks (after work, I have a full time job + family) and went in and nailed it. I do have networking background (15+ years) and I am currently working as a cloud security engineer and I’m working with AWS daily, especially EKS, TGW, GWLB etc.

For those not from a networking background – it would definitely take longer to prep.

Good luck!

 
 
 
 
Azure Fundamentals AZ900 Certification Exam Prep
Azure Fundamentals AZ900 Certification Exam Prep
#Azure #AzureFundamentals #AZ900 #AzureTraining #LeranAzure #Djamgatech

 

Passed AZ-900, SC-900, AI-900, and DP-900 within 6 weeks!

 
Achievement Celebration

What an exciting journey. I think AZ-900 is the hardest probably because it is my first Microsoft certification. Afterwards, the others are fair enough. AI-900 is the easiest.

I generally used Microsoft Virtual Training Day, Cloud Ready Skills, Measureup and John Savill’s videos. Having built a fundamental knowledge of the Cloud, I am planning to do AWS CCP next. Wish me luck!

Passed Azure Fundamentals

 
Learning Material

Hi all,

I passed my Azure fundamentals exam a couple of days ago, with a score of 900/1000. Been meaning to take the exam for a few months but I kept putting it off for various reasons. The exam was a lot easier than I thought and easier than the official Microsoft practice exams.

Study materials;

  • A Cloud Guru AZ-900 fundamentals course with practice exams

  • Official Microsoft practice exams

  • MS learning path

  • John Savill’s AZ-900 study cram, started this a day or two before my exam. (Highly Recommended) https://www.youtube.com/watch?v=tQp1YkB2Tgs&t=4s

Will be taking my AZ-104 exam next.

Azure Administrator AZ104 Certification Exam Prep
Azure Administrator AZ104 Certification Exam Prep

Passed AZ-104 with about a 6 weeks prep

 
Learning Material

Resources =

John Savill’s AZ-104 Exam Cram + Master Class Tutorials Dojo Practice Exams

John’s content is the best out there right now for this exam IMHO. I watched the cram, then the entire master class, followed by the cram again.

The Tutorials Dojo practice exams are essential. Some questions on the actual exam where almost word-for-word what I saw on the exam.

Question:

What’s everyone using for the AZ-305? Obviously, already using John’s content, and from what I’ve read the 305 isn’t too bad.

Thoughts?

Passed the AZ-140 today!!

 
Achievement Celebration

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

Passed DP-900

 
Achievement Celebration

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:

  1. 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.

  2. Exampro.co DP-900 course and practice test. They include virtual flashcards which I really liked.

  3. Whizlabs.com practice tests. I also used the course to fill in gaps in my testing.

Passed AI-900! Tips & Resources Included!!

Azure AI Fundamentals AI-900 Exam Prep
Azure AI Fundamentals AI-900 Exam Prep
 
Achievement Celebration

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 in 28Minutes 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

Just passed AZ-104

 
Achievement Celebration

I recommend to study networking as almost all of the questions are related to this topic. Also, AAD is a big one. Lots of load balancers, VNET, NSGs.

Received very little of this:

  • Containers

  • Storage

  • Monitoring

I passed with a 710 but a pass is a pass haha.

Used tutorial dojos but the closest questions I found where in the Udemy testing exams.

Regards,

Passed GCP Professional Cloud Architect

Google Professional Cloud Architect Practice Exam 2022
Google Professional Cloud Architect Practice Exam 2022
 

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.

GCP Associate Cloud Engineer Exam Prep

Passed GCP: Cloud Digital Leader

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.

Passed the Google Cloud: Associate Cloud Engineer

Hey all, I was able to pass the Google Cloud: Associate Cloud Engineer exam in 27 days.

I studied about 3-5 hours every single day.

I created this note to share with the resources I used to pass the exam.

Happy studying!

GCP ACE Exam Aced

Hi folks,

I am glad to share with you that I have cleared by GCP ACE exam today and would like to share my preparation with you:

1)I completed these courses from Coursera:

1.1 Google Cloud Platform Fundamentals – Core Infrastructure

1.2 Essential Cloud Infrastructure: Foundation

1.3 Essential Cloud Infrastructure: Core Services

1.4 Elastic Google Cloud Infrastructure: Scaling and Automation

Post these courses, I did couple of QwikLab courses as listed in orderly manner:

2 Getting Started: Create and Manage Cloud Resources (Qwiklabs Quest)

   2.1 A Tour of Qwiklabs and Google Cloud

   2.2 Creating a Virtual Machine

   2.2 Compute Engine: Qwik Start – Windows

   2.3 Getting Started with Cloud Shell and gcloud

   2.4 Kubernetes Engine: Qwik Start

   2.5 Set Up Network and HTTP Load Balancers

   2.6 Create and Manage Cloud Resources: Challenge Lab

 3 Set up and Configure a Cloud Environment in Google Cloud (Qwiklabs Quest)

   3.1 Cloud IAM: Qwik Start

   3.2 Introduction to SQL for BigQuery and Cloud SQL

   3.3 Multiple VPC Networks

   3.4 Cloud Monitoring: Qwik Start

   3.5 Deployment Manager – Full Production [ACE]

   3.6 Managing Deployments Using Kubernetes Engine

   3.7 Set Up and Configure a Cloud Environment in Google Cloud: Challenge Lab

 4 Kubernetes in Google Cloud (Qwiklabs Quest)

   4.1 Introduction to Docker

   4.2 Kubernetes Engine: Qwik Start

   4.3 Orchestrating the Cloud with Kubernetes

   4.4 Managing Deployments Using Kubernetes Engine

   4.5 Continuous Delivery with Jenkins in Kubernetes Engine

Post these courses I did the following for mock exam preparation:

  1. Jon Bonso Tutorial Dojo -GCP ACE preparation

  2. Udemy course:

https://www.udemy.com/course/google-associate-cloud-engineer-practice-exams-2021-d/learn/quiz/5278722/results?expanded=591254338#overview

And yes folks this took me 3 months to prepare. So take your time and prepare it.

#djamgatech #aws #azure #gcp #ccp #az900 #saac02 #saac03 #az104 #azai #dasc01 #mlsc01 #scsc01 #azurefundamentals #awscloudpractitioner #solutionsarchitect #datascience #machinelearning #azuredevops #awsdevops #az305 #ai900 #DP900 #GCPACE

Comparison of AWS vs Azure vs Google

Cloud computing has revolutionized the way companies develop applications. Most of the modern applications are now cloud native. Undoubtedly, the cloud offers immense benefits like reduced infrastructure maintenance, increased availability, cost reduction, and many others.

However, which cloud vendor to choose, is a challenge in itself. If we look at the horizon of cloud computing, the three main providers that come to mind are AWS, Azure, and Google cloud. Today, we will compare the top three cloud giants and see how they differ. We will compare their services, specialty, and pros and cons. After reading this article, you will be able to decide which cloud vendor is best suited to your needs and why.

History and establishment

AWS

AWS is the oldest player in the market, operating since 2006. Here’s a brief history of AWS and how computing has changed. Being the first in the cloud industry, it has gained a particular advantage over its competitors. It offers more than 200+ services to its users. Some of its notable clients include:

  • Netflix
  • Expedia
  • Airbnb
  • Coursera
  • FDA
  • Coca Cola

Azure

Azure by Microsoft started in 2010. Although it started four years later than AWS, it is catching up quite fast. Azure is Microsoft’s public cloud platform which is why many companies prefer to use Azure for their Microsoft-based applications. It also offers more than 200 services and products. Some of its prominent clients include:

  • HP
  • Asus
  • Mitsubishi
  • 3M
  • Starbucks
  • CDC (Center of Disease Control) USA
  • National health service (NHS) UK

Google

Google Cloud also started in 2010. Its arsenal of cloud services is relatively smaller compared to AWS or Azure. It offers around 100+ services. However, its services are robust, and many companies embrace Google cloud for its specialty services. Some of its noteworthy clients include:

  • PayPal
  • UPS
  • Toyota
  • Twitter
  • Spotify
  • Unilever

Market share & growth rate

If you look at the market share and growth chart below, you will notice that AWS has been leading for more than four years. Azure is also expanding fast, but it is still has a long way to go to catch up with AWS.

However, in terms of revenue, Azure is ahead of AWS. In Q1 2022, AWS revenue was $18.44 billion; Azure earned $23.4 billion, while Google cloud earned $5.8 billion.

Availability Zones (Data Centers)

When comparing cloud vendors, it is essential to see how many regions and availability zones are offered. Here is a quick comparison between all three cloud vendors in terms of regions and data centers:

AWS

AWS operates in 25 regions and 81 availability zones. It offers 218+ edge locations and 12 regional edge caches as well. You can utilize the edge location and edge caches in services like AWS Cloudfront and global accelerator, etc.

Azure

Azure has 66 regions worldwide and a minimum of three availability zones in each region. It also offers more than 116 edge locations.

Google

Google has a presence in 27 regions and 82 availability zones. It also offers 146 edge locations.

Although all three cloud giants are continuously expanding. Both AWS and Azure offer data centers in China to specifically cater for Chinese consumers. At the same time, Azure seems to have broader coverage than its competitors.

Comparison of common cloud services

Let’s look at the standard cloud services offered by these vendors.

Compute

Amazon’s primary compute offering is EC2 instances, which are very easy to operate. Amazon also provides a low-cost option called “Amazon lightsail” which is a perfect fit for those who are new to computing and have a limited budget. AWS charges for EC2 instances only when you are using them. Azure’s compute offering is also based on virtual machines. Google is no different and offers virtual machines in Google’s data centers. Here’s a brief comparison of compute offerings of all three vendors:

Storage

All three vendors offer various forms of storage, including object-based storage, cold storage, file-based storage, and block-based storage. Here’s a brief comparison of all three:

Database

All three vendors support managed services for databases. They also offer NoSQL as well as document-based databases. AWS also provides a proprietary RDBMS named “Aurora”, a highly scalable and fast database offering for both MySQL and PostGreSQL. Here’s a brief comparison of all three vendors:

Comparison of Specialized services

All three major cloud providers are competing with each other in the latest technologies. Some notable areas of competition include ML/AI, robotics, DevOps, IoT, VR/Gaming, etc. Here are some of the key specialties of all three vendors.

AWS

Being the first and only one in the cloud market has many benefits, and Amazon has certainly taken advantage of that. Amazon has advanced specifically in AI and machine learning related tools. AWS DeepLens is an AI-powered camera that you can use to develop and deploy machine learning algorithms. It helps you with OCR and image recognition. Similarly, Amazon has launched an open source library called “Gluon” which helps with deep learning and neural networks. You can use this library to learn how neural networks work, even if you lack any technical background. Another service that Amazon offers is SageMaker. You can use SageMaker to train and deploy your machine learning models. It contains the Lex conversational interface, which is the backbone of Alexa, Lambda, and Greengrass IoT messaging services.

Another unique (and recent) offering from AWS is IoT twinmaker. This service can create digital twins of real-world systems like factories, buildings, production lines, etc.

AWS is even providing a service for Quantum computing called AWS Braket.

Azure

Azure excels where you are already using some Microsoft products, especially on-premises Microsoft products. Organizations already using Microsoft products prefer to use Azure instead of other cloud vendors because Azure offers a better and more robust integration with Microsoft products.

Azure has excellent services related to ML/AI and cognitive services. Some notable services include Bing web search API, Face API, Computer vision API, text analytics API, etc.

Google

Google is the current leader of all cloud providers regarding AI. This is because of their open-source Google library TensorFlow, the most popular library for developing machine learning applications. Vertex AI and BigQueryOmni are also beneficial services offered lately. Similarly, Google offers rich services for NLP, translation, speech, etc.

Pros and Cons

Let’s summarize the pros and cons for all three cloud vendors:

AWS

Pros:

  • An extensive list of services
  • Huge market share
  • Support for large businesses
  • Global reach

Cons:

  • Pricing model. Many companies struggle to understand the cost structure. Although AWS has improved the UX of its cost-related reporting in the AWS console, many companies still hesitate to use AWS because of a perceived lack of cost transparency

Azure

Pros:

  • Excellent integration with Microsoft tools and software
  • Broader feature set
  • Support for open source

Cons:

  • Geared towards enterprise customers

Google

Pros:

  • Strong integration with open source tools
  • Flexible contracts
  • Good DevOps services
  • The most cost-efficient
  • The preferred choice for startups
  • Good ML/AI-based services

Cons:

  • A limited number of services as compared to AWS and Azure
  • Limited support for enterprise use cases

Career Prospects

Keen to learn which vendor’s cloud certification you should go for ? Here is a brief comparison of the top three cloud certifications and their related career prospects:

AWS

As mentioned earlier, AWS has the largest market share compared to other cloud vendors. That means more companies are using AWS, and there are more vacancies in the market for AWS-certified professionals. Here are main reasons why you would choose to learn AWS:

Azure

Azure is the second largest cloud service provider. It is ideal for companies that are already using Microsoft products. Here are the top reasons why you would choose to learn Azure:

  • Ideal for experienced user of Microsoft services
  • Azure certifications rank among the top paying IT certifications
  • If you’re applying for a company that primarily uses Microsoft Services

Google

Although Google is considered an underdog in the cloud market, it is slowly catching up. Here’s why you may choose to learn GCP.

  • While there are fewer job postings, there is also less competition in the market
  • GCP certifications rank among the top paying IT certifications

Most valuable IT Certifications

Keen to learn about the top paying cloud certifications and jobs? If you look at the annual salary figures below, you can see the average salary for different cloud vendors and IT companies, no wonder AWS is on top. A GCP cloud architect is also one of the top five. The Azure architect comes at #9.

Which cloud certification to choose depends mainly on your career goals and what type of organization you want to work for. No cloud certification path is better than the other. What matters most is getting started and making progress towards your career goals. Even if you decide at a later point in time to switch to a different cloud provider, you’ll still benefit from what you previously learned.

Over time, you may decide to get certified in all three – so you can provide solutions that vary from one cloud service provider to the next.

Don’t get stuck in analysis-paralysis! If in doubt, simply get started with AWS certifications that are the most sought-after in the market – especially if you are at the very beginning of your cloud journey. The good news is that you can become an AWS expert when enrolling in our value-packed training.

Further Reading

You may also be interested in the following articles:

https://digitalcloud.training/entry-level-cloud-computing-jobs-roles-and-responsibilities/https://digitalcloud.training/aws-vs-azure-vs-google-cloud-certifications-which-is-better/https://digitalcloud.training/10-tips-on-how-to-enter-the-cloud-computing-industry/https://digitalcloud.training/top-paying-cloud-certifications-and-jobs/https://digitalcloud.training/are-aws-certifications-worth-it/

Source:

https://digitalcloud.training/comparison-of-aws-vs-azure-vs-google/


Get it on Apple Books
Get it on Apple Books

  • The ultimate guide to learning at Google Cloud Next 2025
    by (Training & Certifications) on March 13, 2025 at 4:00 pm

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  • Get Google Cloud certified in 2025—and see why the latest research says it matters
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    aside_block <ListValue: [StructValue([('title', 'Get certified for 50% off today'), ('body', <wagtail.rich_text.RichText object at 0x3e13882ce5b0>), ('btn_text', 'Register now.'), ('href', 'https://cloud.google.com/learn/certification?e=48754805&hl=en&utm_source=cgc-blog&utm_medium=blog&utm_campaign=FY25-Q1-global-certification-campaign&utm_content=certification-page-cgc&utm_term=-'), ('image', None)])]> The cloud is evolving fast — and that means you need to evolve fast. With the explosion of AI, it’s not enough to build skills; you have to be able to prove you have them.  As more companies pursue digital transformation and AI adoption, validating skills quickly and effectively is more critical than ever. That’s not just the message everyone is hearing from recruiters and executives — we also have new research demonstrating the impact of getting Google Cloud certified. And recognizing just how valuable certification is, we've got three new ones to help drive your success in 2025.  A recent Ipsos study commissioned by Google Cloud surveyed more than 3,000 cloud practitioners, students, and decision-makers and confirmed that certifications not only increase career opportunities, they also drive efficiencies for digital businesses (which is pretty much every business these days). From seasoned professionals to those just starting out, as well as the organizations for which they work, everyone benefits from validating their cloud skills with trusted certifications.  Certifications: A catalyst for confidence and career advancement  Certifications are a key driver of career growth for engineers, data scientists, and other cloud professionals. For Google Cloud learners, certifications are considered the most valuable part of their learning journey. This is supported by the Ipsos data: eight in 10 Google Cloud learners report that certification equips them with the skills needed for in-demand roles, accelerates their promotion potential, and contributes to their overall professional success when they share their credentials online. The Ipsos research also reveals the significant impact of Google Cloud certifications on students.  Empowered by certifications, students report higher salaries and faster time-to-hire. An impressive nine in 10 Google Cloud certified students say their training made them more competitive in the job market, leading to better career opportunities. aside_block <ListValue: [StructValue([('title', 'Google Cloud Partner?'), ('body', <wagtail.rich_text.RichText object at 0x3e13882cedc0>), ('btn_text', 'Get started'), ('href', 'https://rsvp.withgoogle.com/events/partner-learning/certifications'), ('image', None)])]> Helping cloud leaders find and build more efficient teams  Furthermore, certifications build confidence and efficiency for cloud leaders and decision-makers. Leaders from organizations using Google Cloud report that certifications significantly improve the efficiency of their cloud operations. They cite increased confidence in on-time project completion, accelerated onboarding to roles and projects, and greater confidence in a candidate’s knowledge during the hiring process. In fact, more than six in 10 leaders say one of the most important resources for cloud learners is getting certified, and approximately 70% believe certified employees are more productive. Explore—and prepare for—the latest certifications from Google Cloud, integrated with AI concepts To get started out take your training to the next level, you can explore the full catalog of Google Cloud certifications, which now include these newly launched certifications:  Associate Data Practitioner Certification: This certification is a great fit for data scientists who want to validate their Google Cloud data skills and knowledge, like ensuring data is clean, secure, and usable for AI and machine learning models. Follow this learning path to prepare for the exam. Associate Google Workspace Administrator Certification: Validate your proficiency in the core skills required to successfully manage Google Workspace environments, including effectively managing the AI-powered assistant. Follow this learning path to prepare for the exam. Professional Cloud Architect Certification [Renewal]: Prove your skills as a professional cloud architect with this new, streamlined recertification exam, focused on the application of generative AI solutions to solve real-world business challenges. Check out the exam guide to prepare for the exam.  How certification moves the needle: Hear from certified professionals People are already transforming their careers and supercharging their teams with the help of certifications. Hear from a Chief Technology Officer, a senior cloud architect, a risk manager and a student in information systems about the difference a certification makes in their day-to-day: Google Cloud | Be ready for tomorrow. Get certified today. The rapid pace of AI innovation has made skills validation an imperative — for cloud professionals and the companies they call home. Learn more about all your cloud credentialing options here or explore our full suite of Google Cloud learning tools at skills.google.

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  • Discover Google Cloud careers and credentials in our new Career Dreamer
    by (Training & Certifications) on February 19, 2025 at 5:00 pm

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  • Empowering women with cloud and AI skills: Register for the Google Launchpad for Women series
    by (Training & Certifications) on February 6, 2025 at 2:00 pm

    Last year, we offered our first ever “Google Launchpad for Women” series to empower women within our customer ecosystem to grow their cloud and AI skills. The response from our customers has been tremendous: more than 11,000 women across a breadth of roles - sales, leadership, marketing, finance, and more have completed previous editions of the program. As a result, they are building critical skills that help them put AI to work in their jobs, grow their careers, and help transform their businesses. This year, in honor of International Women's Day, we are opening “Google Launchpad for Women,” to thousands of more customer participants, providing them with no-cost training, exam prep, and access to Google experts. Registration is now open to Google Cloud customers in the Americas, EMEA, and Japan, with the three-week program beginning on March 4th in Japan and March 6th in the Americas and EMEA. Program benefits include: Expert-led training: Two days of in-depth, instructor-led training covering key cloud concepts and best practices. Industry insights: Engage with Google Cloud experts through panel discussions on topics such as Generative AI. Exam preparation: Dedicated sessions to prepare for the Cloud Digital Leader certification exam. Complimentary exam voucher: Participants will receive a voucher for the $99 exam fee. aside_block <ListValue: [StructValue([('title', 'Get hands-on experience for free'), ('body', <wagtail.rich_text.RichText object at 0x3e139c25dc40>), ('btn_text', 'Start building for free'), ('href', 'http://console.cloud.google.com/freetrial?redirectPath=/welcome/'), ('image', None)])]> Why these trainings are critical Harnessing the power of cloud computing and AI is essential for all job roles, not just IT. As more businesses adopt AI, people across business roles utilize this technology every day and often make purchasing decisions about new AI platforms and tools. However, a talent gap remains, and is particularly pronounced for women, who represent about 14% of the global cloud workforce according to recent data from the World Economic Forum. We aim to help our customers reduce this gap, ensure they have access to the skilled experts they need to advance their digital and AI transformations, and give more people opportunities to grow their careers and lead these transformations. Ultimately, those who complete the Google Launchpad for Women program will be well-equipped to achieve the Cloud Digital Leader certification, putting them at the forefront of the cloud and AI era. Google Launchpad for Women is open to all Google Cloud customers, regardless of prior technical experience or role. We welcome women from all professional backgrounds who are eager to develop their cloud skills and advance their careers. While this initiative is specifically focused on women, we invite everyone to participate. Sign up today Visit the links below to learn more about each regional session and contact your sales rep to sign up today. [Americas Session] Google Launchpad for Women [EMEA Session] Google Launchpad for Women [Japan Session] Google Launchpad for Women

  • AWS Well-Architected for Enterprises: a new free digital course
    by Ebrahim (EB) Khiyami (AWS Training and Certification Blog) on February 1, 2025 at 1:00 am

    To help organizations implement Well-Architected best practices consistently while they expand, we’ve launched Well-Architected for Enterprises, a new free digital course. Designed for technical professionals who architect, build, and operate AWS solutions at scale, this intermediate level course will help you optimize your cloud architecture while aligning to your business goals.

  • New courses and certification updates from AWS Training and Certification in January 2025
    by Training and Certification Blog Editor (AWS Training and Certification Blog) on January 28, 2025 at 5:00 pm

    In January 2025, we launched 17 new digital training products on AWS Skill Builder including two new AWS Jam Journeys, additional language availability for Exam Prep materials in support of AWS Certified AI Practitioner and AWS Certified Machine Learning Engineer certification exams, as well as a new AWS Builder Lab, Sustainability Strategies with AWS Compute Workload, designed to help identify sustainability strategies using AWS services and tools to optimize usage and costs in an AWS environment.

  • Meet the first graduates of AWS Cloud Institute
    by Carlie Marvel (AWS Training and Certification Blog) on January 17, 2025 at 8:55 pm

    Today, we’re thrilled to celebrate the graduation of the inaugural cohort of AWS Cloud Institute learners, marking a significant milestone in their journey toward launching successful careers in cloud development. Throughout the program, this exceptional group of individuals not only honed their technical expertise but also became part of a dynamic and supportive learning community, fostering collaboration and growth along the way.

  • Mapping your AI/ML career journey
    by Jim Sinkleris (AWS Training and Certification Blog) on January 6, 2025 at 8:42 pm

    The journey from AWS Certified AI Practitioner to AWS Certified Machine Learning - Specialty offers a structured approach that helps you grow—from understanding fundamental AI concepts to handling complex ML projects in a cloud environment. By using resources like AWS Skill Builder, AWS Educate and the Udemy Business Leadership Academy cohort programs, you can accelerate your learning and stay ahead of the competition in the fast-moving AI/ML landscape.

  • Maximizing your cloud journey: Engaging an AWS Solutions Architect
    by Paige Broderick (AWS Training and Certification Blog) on December 19, 2024 at 10:14 pm

    AWS Solutions Architects are a free resource to customers and partners and wear three crucial hats: technical advisor, customer advocate, and educator. Learn how you can engage AWS Solutions Architects and benefit from their time-tested expertise and best practices across AWS services, industries, and company sizes.

  • Boost your Looker Studio Pro skills with new on-demand course from Google Cloud
    by (Training & Certifications) on December 12, 2024 at 5:00 pm

    Your business data sets you apart from the competition. It fuels your innovations, your culture, and provides all your employees a foundation from which to build and explore. Since 2022, enterprises in all industries have turned to Looker Studio Pro to empower their businesses with self-service dashboards and AI-driven visualizations and insights, complete with advanced enterprise capabilities and Google Cloud technical support. As the Looker community has grown, we’ve gotten more requests for guidance on how users can make their Looker Studio Pro environments even stronger, and tap into more sophisticated features. Those requests have only increased, accelerated by the debut of Studio in Looker, which brings Looker Studio Pro to the broader Looker platform. To help, today we are debuting a new on-demand training course: Looker Studio Pro Essentials. aside_block <ListValue: [StructValue([('title', 'Try Google Cloud for free'), ('body', <wagtail.rich_text.RichText object at 0x3e1388644e20>), ('btn_text', 'Get started for free'), ('href', 'https://console.cloud.google.com/freetrial?redirectPath=/welcome'), ('image', None)])]> Looker Studio Pro connects businesses’ need to govern data access with individual employees’ needs to explore, build and ask questions. This Google Cloud Skills Boost course helps users go beyond the basics of setting up reports and visualizations, and provides a deep dive into Looker Studio Pro’s more powerful features and capabilities. Here's what you can expect to get from this course: Gain a comprehensive understanding of Looker Studio Pro: Explore its key features and functionality, and discover how it elevates your data analysis capabilities. Enhance collaboration: Learn how to create and manage collaborative workspaces, streamline report sharing, and automate report delivery. Schedule and share reports: Learn how to customize scheduling options to your business, including delivery of reports to multiple recipients via Google Chat and email, based on your sharing preferences. Ensure data security and control: Become an expert in user management, audit log monitoring, and other essential administrative tasks that can help you maintain data integrity. Leverage Google Cloud customer care: Learn how to use Google Cloud Customer Care resources to find solutions, report issues, and provide feedback. From your focus, to your employees, to your customers, your business is unique. That’s why we designed this course to bring value to everyone — from sales and marketing professionals, to data analysts, to product innovators — providing them with the knowledge and skills they need to fully leverage Looker Studio Pro in their own environments. Because in the gen AI era, how you leverage your data and invigorate your employees to do more is the true opportunity. Accelerate that opportunity with the new Looker Studio Pro Essentials course today.

  • Unwrap 12 days of training to learn generative AI this December
    by (Training & Certifications) on December 11, 2024 at 4:00 pm

    Tis the season for learning new skills! Get ready for 12 Days of Learning, a festive digital advent calendar packed with courses, hands-on labs, videos, and community opportunities—all designed to boost your generative AI expertise. Discover a new learning resource on Google Cloud’s social channels every day for twelve days this December.  Before you start: Get no-cost access to generative AI courses and labs Join the Innovators community to activate 35 monthly learning credits in Google Cloud Skills Boost at no cost. Use these credits to access courses and labs throughout the month of December—and beyond!  Ready to get started? Review all of the resources below. Get festive with generative AI foundations Learn how to use gen AI in your day-to-day work. These resources are designed for developers looking to gain foundational knowledge in gen AI. A Developer’s Guide to LLMs: In this 10-minute video, explore the exciting world of large language models (LLMs). Discover different AI model options, analyze pricing structures, and delve into essential features. Responsible AI: Fairness & Bias: This course introduces the concepts of responsible AI and shares practical methods to help you implement best practices using Google Cloud products and open source tools. Gemini for end-to-end SDLC: This course explores how Google Cloud's Gemini AI can assist in all stages of the software development lifecycle, from building and debugging web applications to testing and data querying. The course ends with a hands-on lab where you can build practical experience with Gemini. Responsible AI for Developers: Interpretability & Transparency: This course introduces AI interpretability and transparency concepts. Learn how to train a classification model on image data and deploy it to Vertex AI to serve predictions with explanations. Introduction to Security in the World of AI: This course equips security and data protection leaders with strategies to securely manage AI within their organizations. Bring these concepts to life with real-world scenarios from four different industries. aside_block <ListValue: [StructValue([('title', 'Get hands-on experience for free'), ('body', <wagtail.rich_text.RichText object at 0x3e138834dc10>), ('btn_text', 'Start building for free'), ('href', 'http://console.cloud.google.com/freetrial?redirectPath=/welcome/'), ('image', None)])]> Cozy up with gen AI use cases Launch these courses and labs to get more in-depth, hands-on experience with generative AI, from working with Gemini models to building agents and applications.  Build Generative AI Agents with Vertex AI and Flutter: Learn how to develop an app using Flutter and then integrate the app with Gemini. Then use Vertex AI Agent Builder to build and manage AI agents and applications. Machine Learning Ops (MLOps) for Generative AI: In this course, learn how to overcome MLOps challenges and use generative AI to streamline processes. Boost productivity with Gemini in BigQuery: This course provides an overview of features to assist in the data-to-AI workflow, including data exploration and preparation, code generation, workflow discovery, and visualization.  Build Generative AI Apps with Firebase Genkit: Learn how to integrate gen AI features into your applications using Firebase Genkit—from prototyping to production.  Website Modernization with Generative AI on Google Cloud: Transform your website experiences with gen AI with this hands-on course. Learn how to build a generative search experience in an interactive lab. Work with Gemini models in BigQuery: Through a practical use case involving customer relationship management, learn how to solve a real-world business problem with Gemini models. Plus, receive step-by-step guidance through coding solutions using SQL queries and Python notebooks. Get a jump-start on your New Year’s resolutions with AI Skills Quest Get an early start on your learning goals by signing up for AI Skills Quest, a monthly learning challenge that puts gen AI on your resume with verifiable skill badges. When you sign up, choose your path based on your level of knowledge: Beginner/Intermediate cohort: Learn fundamental AI concepts, prompt design, and Gemini app development techniques in Vertex AI, plus other Gemini integrations in various technical workflows. Advanced cohort: Already know the basics, but want to add breadth and depth to your AI skills? Sign up for the Advanced path to learn advanced AI concepts like RAG and MLOps. Ready to ring in the new year with new skills? Find more generative AI learning content on Google Cloud Skills Boost.

  • Beyond the basics: Build real-world gen AI skills with the latest learning paths from Google Cloud
    by (Training & Certifications) on October 16, 2024 at 1:00 pm

    November 15, 2024: The Cloud Innovators Plus program has evolved and is now the premium tier of the Google Developer Program. The majority of organizations don’t feel ready for the AI era. In fact, 62% say they don’t have the expertise they need to unlock AI’s full potential.1 As the leader of learning for Google Cloud, the only thing that surprises me about that number is how low it is. I meet with customers every day, and 100% of them flag some kind of AI skills gap.  Here’s the good news: that makes you — the developers, machine learning engineers, and data experts — invaluable. You are exactly the talent these organizations are looking for — but with the rate of change in AI, you have to stay on the cutting edge. A 2024 survey estimated that about 70% of AI talent needs to update their skills.2 And yet, many technical professionals don’t have the training they need to move from theory to practice and integrate AI into their everyday work.  That’s why, today, I’m proud to share with you the latest learning offerings on generative AI from Google Cloud Skills Boost. Say hello to four new learning paths designed to equip developers with real-world generative AI skills to build applications, manage and secure machine learning models, generate impactful content, and analyze data like a pro. We’re talking in-depth courses that first guide you through building proficiency and then, ultimately, test your skills in a real-life challenge lab. Get practical experience with gen AI use cases Generative AI is powerful, but to actually see value from this technology in real-world use cases takes practical experience and technical knowledge. These new learning paths from Google Cloud, listed below, give you the generative AI skills you need to complete innovative work in your current roles — like improving customer experience or team productivity. This also opens up new career (and promotion) opportunities. Once you complete the hands-on training, you will receive a skill badge to showcase your expertise on your resume or social media channels:  Learning Path: Build and modernize applications with generative AI: Learn how to enhance your projects and build end-to-end applications on Google Cloud with the power of generative AI. This path will guide you through essential techniques and tools to integrate gen AI capabilities seamlessly into your development workflow. Learning Path: Integrate generative AI into your data workflow: Learn how to use BigQuery Machine Learning for inference, work directly with Gemini models in BigQuery, and enhance your data team’s efficiency with Gemini's assistance. This path features a brand new course on boosting productivity with Gemini in BigQuery to aid in the data-to-AI pipeline. Learning Path: Deploy and manage generative AI models: Learn how to manage the entire lifecycle of generative AI models, from development and deployment to monitoring — including introductions to responsible AI for developers. This path features a brand new course on security for AI models. Learning Path: Generate smarter generative AI outputs: Learn how to build applications that generate text and visual content using generative AI. Develop an AI project on Google Cloud, use diffusion models for image generation, and build search applications with Vector Search and embeddings, then dive deeper into multimodal prompts and Multimodal RAG with Gemini. aside_block <ListValue: [StructValue([('title', 'What is a learning path and how do I get started?'), ('body', <wagtail.rich_text.RichText object at 0x3e1388efed60>), ('btn_text', ''), ('href', ''), ('image', None)])]> Innovators get full, no-cost access to gen AI learning paths Earlier this year, we announced that every member of the Google Cloud Innovators community, our no-cost developer program, receives 35 unrestricted learning credits every month to use on courses and labs in Google Cloud Skills Boost. That’s enough to complete one of these new learning paths every month. Join Innovators today to activate your credits and start learning! Innovators also get access to exclusive learning opportunities — like our latest challenge, AI Skills Quest, where you can immerse yourself in hands-on labs and earn skill AI badges alongside a cohort of like-minded peers. The latest gen AI learning content — from security to productivity  While you’re sharing your AI skills in the Innovators community, why not check out the very latest in learning? These new learning paths feature three brand new courses in security, data analytics and agent building — all hot off the presses in Google Cloud Skills Boost:  Course: Introduction to security in the world of AI. Whether you’re a security engineer, an IT leader, an AI developer, or a less technical leader, this course will help you build a foundational understanding of Google’s approach to navigating the intersection of AI and security.  Course: Boost productivity with Gemini in BigQuery. Accelerate your data-to-AI pipeline, write better code, and visualize workflows easily with Gemini in BigQuery. This course equips you or your team with practical skills to boost productivity and unlock the full potential of your data. Course: Build generative AI agents with Vertex AI and Flutter. Whether you're a seasoned app developer or just starting your journey with Flutter and Python, this course will help you build intelligent chat agents and fun, interactive experiences through generative AI.  Go from gen AI theory to practice Google has been at the forefront of AI innovation for over a decade. These learning paths are your direct line to that expertise, crafted by the very people who shaped the field. My team is committed to empowering you with the skills to lead in this exciting era. Because ultimately, we all have a shared goal: to build AI-driven solutions that are responsible, fun to use, and — above all — genuinely improve people’s lives.  Join the Google Cloud Innovators program, get your 35 free credits every month, and dive head first into our new generative AI learning paths today. 1.  Help Net Security, “The cloud skills gap is digital transformation's Achilles' heel,” Nov 14, 20232. Pluralsight, “Pluralsight AI skills report,” 2024

  • Launch your cloud career: A no-cost training and certification program for veterans
    by (Training & Certifications) on September 23, 2024 at 1:00 pm

    My father dedicated over 40 years to active duty in the Navy, and with my mother, instilled a strong sense of purpose in me and my two sisters. So joining the Navy felt like a natural choice, taking my oath alongside other young recruits who also valued the importance of having a purpose. As a woman, the leadership skills I gained in the Navy proved invaluable in navigating industries with underrepresented groups. Fast forward to today, and I'm proud to be part of Google Public Sector. My journey has shown me that veterans have so much to offer, yet the transition back to civilian life can be challenging. Research confirms that veterans, despite their qualifications and strong leadership abilities, are often undervalued in the civilian workforce. Google Cloud: A commitment to veterans At Google Cloud, we're determined to change this narrative. We believe veterans deserve a clear path to high-paying careers in cloud and AI. The demand for skilled professionals to lead digital transformations is high, and veterans have the dedication and leadership qualities to excel in these roles. My Navy experience, coupled with my technical background, showed me the impact of helping others and serving my country. I keep this in mind both at Google Public Sector and in my interactions with customers. That's why I'm proud to announce the launch of an important new program. Introducing Google Cloud Launchpad for Veterans  Google Cloud Launchpad for Veterans is a no-cost training and certification journey. It is designed to equip veterans in all roles and at all levels with the cloud knowledge and skills they need to drive innovation, and contribute to their current or future employer’s digital transformation strategy.  The three-week journey kicks off with a two-day virtual ‘Cloud Digital Leader’ training event on November 7th and 8th, delivered by ROI Training instructor and U.S. Marine Corp veteran Patrick Haggerty. You’ll enjoy interactive training sessions and a panel discussion with veterans from Google. After the virtual training event, you’ll receive a complimentary voucher for the Cloud Digital Leader exam. Attendees are encouraged to take the exam between November 15th - December 31st, 2024. (The first 500 to pass the exam will receive a voucher for their very own Google socks!) If you need extra practice, we're also offering optional exam prep sessions on November 15th and 22nd. This program goes beyond just certification. You'll gain the confidence to explain cloud fundamentals, identify the right Google Cloud solutions, and leverage cloud technology to drive innovation. You'll understand how to modernize infrastructure and applications, and you'll learn the essentials of cloud operations and security. Register today You served us, now let us serve you with a path to rewarding cloud and AI careers. Register today and translate your military experience to a powerful career in cloud.

  • The top AI courses for a summer of learning with Google Cloud
    by (Training & Certifications) on August 14, 2024 at 4:00 pm

    aside_block <ListValue: [StructValue([('title', 'Get hands-on generative AI experience for free'), ('body', <wagtail.rich_text.RichText object at 0x3e1388bfffd0>), ('btn_text', 'Get started for free'), ('href', 'https://console.cloud.google.com/freetrial?redirectPath=/vertex-ai/generative'), ('image', None)])]> November 15, 2024: The Cloud Innovators Plus program has evolved and is now the premium tier of the Google Developer Program. Summer's well on its way, and it feels like it’s time for a road trip! But instead of just cruising down the highway, why not embark on a journey that supercharges your AI skills? Generative AI isn't just a buzzword; it's transforming industries. With Vertex AI, you can build applications that tailor experiences for users, automate processes and order flows, and enrich data alongside BigQuery and Cloud Run. That being said, I'm always on the lookout for helpful resources on building Gen AI products to share with my community. To help you make the most of this summer, I've crafted a learning roadmap using Google Cloud Skills Boost. It's designed to guide you from AI curiosity to capability, equipping you with the skills needed to excel in this dynamic field. So, are you ready for a summer learning journey?  Phone, check.  Keys, check.  Learning credits?   It costs nothing to join the no-cost Google Cloud Innovators program, where you receive 35 learning credits each month to use on courses, labs, and skill badges in Skills Boost. This means all the stops on our summer learning road trip are accessible to you at no cost. All right, let’s hit the road!   First stop is a low-code approach  These initial training courses lay the groundwork for understanding generative AI, from its core concepts to the responsible development of large language models (LLMs). You'll explore Google's tools for building your own AI applications and master the art of crafting effective prompts in Vertex AI. Training 1: Introduction to Generative AI: Get acquainted with the fundamental concepts of generative AI, and how to use it as a developer. Training 2: Introduction to Large Language Models (LLMs): Delve deeper into the world of LLMs, their applications, and the Google tools you can use to develop your own Generative AI apps. Training 3: Introduction to Responsible AI: It's not just about the tech itself; it's about responsible innovation. Learn to create AI systems that are fair, unbiased, and socially conscious. aside_block <ListValue: [StructValue([('title', "Debi's Pro Tip:"), ('body', <wagtail.rich_text.RichText object at 0x3e1388bffdc0>), ('btn_text', ''), ('href', ''), ('image', None)])]> Training 4: Prompt Design in Vertex AI: Learn prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. aside_block <ListValue: [StructValue([('title', "Debi's Pro Tip:"), ('body', <wagtail.rich_text.RichText object at 0x3e1388bff2e0>), ('btn_text', ''), ('href', ''), ('image', None)])]> Shift into high gear with AI engineering This section takes you beyond the basics, diving into the powerful tools and techniques that drive AI engineering. You'll gain hands-on experience building applications with Gemini and Streamlit, explore the fascinating world of image generation, and unlock the full potential of multimodal AI with Gemini. Training 5: Introduction to Vertex AI Studio: Familiarize yourself with Vertex AI Studio, your control center for building Gemini multimodal applications, designing prompts, and fine-tuning models. Training 6: Develop GenAI Apps with Gemini and Streamlit: Build interactive, user-friendly apps powered by Gemini with the Vertex AI Gemini API and Python SDK, and learn how to deploy a Steamlit app integrated with Gemini on Cloud Run aside_block <ListValue: [StructValue([('title', "Debi's Pro Tip:"), ('body', <wagtail.rich_text.RichText object at 0x3e1388bff550>), ('btn_text', ''), ('href', ''), ('image', None)])]> Training 7: Introduction to Image Generation: Discover how to generate images with AI using diffusion models, and how to train and deploy them on Vertex AI. Training 8: Explore Generative AI with the Vertex AI Gemini API: Learn text generation, image and video analysis for content creation, and function calling techniques within the Gemini API for Vertex AI. Training 9: Multimodality with Gemini: Harness the power of multimodal prompts to extract insights from text and visual data. Generate video descriptions and uncover hidden details in videos. Navigate machine learning and hit the gas At this stop you'll learn how to harness the power of Vertex AI and BigQuery to build, deploy, and leverage machine learning models, extracting valuable insights from vast datasets. Training 10: Build and Deploy Machine Learning Solutions on Vertex AI: Turn your ideas into reality. Learn how to take your models from concept to deployment using Vertex AI and AutoML. Training 11: BigQuery for Machine Learning: BigQuery is more than just a data warehouse. Leverage its vast datasets to build, train, evaluate, and predict with your own machine learning models. aside_block <ListValue: [StructValue([('title', "Debi's Pro Tip:"), ('body', <wagtail.rich_text.RichText object at 0x3e1388bff610>), ('btn_text', ''), ('href', ''), ('image', None)])]> Your no-cost AI summer road trip starts now Embarking on your AI summer learning road trip has never been easier. Remember, the Google Cloud Innovators program is a no-cost way to receive 35 learning credits each month to use on these courses, labs, and skill badges in Skills Boost.  As you level up your skills, be sure to share your progress with the world! Earn skill badges by completing courses and labs and validate them through Credly to proudly display your progress on your preferred professional social network.  Don’t forget to take a pit stop at the Google Cloud Skills Boost Arcade, where you can translate your progress into exciting badges and exclusive prizes.  This summer, let Google Cloud Skills Boost be your compass as you skill up in AI. Happy learning!

  • Modern SecOps Masterclass: Now Available on Coursera
    by (Training & Certifications) on July 18, 2024 at 4:00 pm

    Security practitioners constantly need to rethink and refine their approaches to defending their organization. Staying ahead requires innovation, continuous improvement, and a mindset shift away from siloed operations into building end-to-end solutions against threats.  Today, Google Cloud is excited to announce the launch of the Modern SecOps (MSO) course, a six-week, platform-agnostic education program designed to equip security professionals with the latest skills and knowledge to help modernize their security operations, based on our Autonomic Security Operations framework and Continuous Detection, Continuous Response (CD/CR) methodology.  Introducing Modern Security Operations Course The Modern Security Operations course provides a comprehensive curriculum that addresses the core challenges faced by today’s security operations teams, predominantly focused on improving people and processes. Developed in collaboration with ROI Training, Netenrich, and other leading industry experts, this course offers practical insights and hands-on experience to help organizations transform their Security Operations Centers (SOCs). To learn more about ROI Training and our Google Cloud courses, see their catalog here. To learn more about Netenrich and their approach towards Autonomic Security Operations, see their case studies here. "Autonomic Security is the guiding star for transforming Security Operations Centers, and we're thrilled to partner with Google Cloud to develop this course. Netenrich Adaptive MDR, built on the ASO framework, exemplifies our commitment to pioneering autonomic security solutions,” said Raju Chekuri, CEO, Netenrich. “By implementing ASO both internally and for our customers, we're turning the vision of autonomic security into reality." Course highlights The MSO course’s six-week curriculum focuses on:  Modernizing Cyber Threat management: Gain an understanding of the evolving cybersecurity landscape and the future of security operations. SecOps 101: Learn the fundamental concepts and components of Security Operations, including detection, triage, and incident response. Principles of Autonomic Security Operations: Discover how to apply lessons from DevOps and Site Reliability Engineering to SecOps. Continuous Detection and Continuous Response (CD/CR): Implement agile methodologies to reduce toil, improve threat management and response capabilities. Modern SecOps Maturity Discovery Tool: Use our MSO Discovery tool to benchmark your organization's maturity against the CD/CR methodology. This course is tailored for: Security Operations Analysts who want to enhance their threat detection and response skills. SOC managers who are eager to learn how to modernize and streamline their Security Operations Center. CISOs who are looking to gain strategic insights to transform their organization’s security operations. Participants in the course will gain access to a wealth of knowledge and practical tools that can help streamline security operations through automation; address and overcome technology and process challenges;and achieve significant improvements in operational efficiency and effectiveness. Complimenting your training with Google SecOps In the generative AI era, security teams require fully operational, high-performing solutions that drive productivity and empower defenders. Google Security Operations is a unified, intelligence-driven and AI-powered platform designed to simplify threat detection, investigation, and response.  Our platform can help reduce the complexity of SecOps and enhance the productivity of Security Operations Centers, and features innovations such as frontline Threat Intelligence, Gemini, Investigation Assistant, Playbook Assistant, and autonomous parsers. These advanced capabilities can enable security teams to uncover threats with less effort, streamline workflows, and also accelerate their journey towards modern SecOps. You can explore how our platform can help you realize these benefits faster here. Enroll today Take the first step towards transforming your security operations: Learn more and register for the Modern Security Operations course. aside_block <ListValue: [StructValue([('title', 'Modern Security Operations: Available on Coursera'), ('body', <wagtail.rich_text.RichText object at 0x3e139df71430>), ('btn_text', 'Enroll Now'), ('href', 'https://www.coursera.org/learn/modern-security-operations'), ('image', None)])]>


Top-paying Cloud certifications:

Google Certified Professional Cloud Architect — $175,761/year
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AWS Certified Cloud Practitioner — $131,465/year
Microsoft Certified: Azure Fundamentals — $126,653/year
Microsoft Certified: Azure Administrator Associate — $125,993/year

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Top 1000 Canada Quiz and trivia: CANADA CITIZENSHIP TEST- HISTORY - GEOGRAPHY - GOVERNMENT- CULTURE - PEOPLE - LANGUAGES - TRAVEL - WILDLIFE - HOCKEY - TOURISM - SCENERIES - ARTS - DATA VISUALIZATION
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Exploring the Pros and Cons of Visiting All Provinces and Territories in Canada.
Exploring the Pros and Cons of Visiting All Provinces and Territories in Canada

Exploring the Advantages and Disadvantages of Visiting All 50 States in the USA
Exploring the Advantages and Disadvantages of Visiting All 50 States in the USA


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