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Google Workspace – Docs – Drive – Sheets – Slides – Forms – How To
- Use keyboard shortcuts: Google Workspace has a variety of keyboard shortcuts that can help you work faster and more efficiently. For example, you can use “Ctrl + Shift + T” to undo the last action in Google Docs, or “Ctrl + Shift + V” to paste text without formatting.
- Collaborate in real-time: With Google Workspace, you can work on documents and spreadsheets with other people at the same time, and see each other’s changes as they happen. This can be a great way to collaborate on projects with team members or classmates.
- Create and edit documents offline: With the Google Docs offline extension, you can create and edit documents even when you don’t have an internet connection. Once you’re back online, your changes will be automatically saved.
- Use Google Keep for notes and to-do lists: Google Keep is a simple note-taking app that integrates seamlessly with Google Workspace. You can use it to take notes, create to-do lists, and set reminders.
- Use the Explore feature in Google Docs: The Explore feature in Google Docs can help you research and write documents more quickly by suggesting relevant information, images, and citations.
- Automate tasks with Google Scripts: Google Scripts is a powerful scripting tool that you can use to automate tasks in Google Workspace. For example, you can use a script to automatically send an email when a new form is submitted or to create a calendar event from a Google Sheets spreadsheet.
- Use Google Forms for surveys and quizzes: Google Forms is a great tool for creating surveys, quizzes, and other forms. You can use it to collect information from people and analyze the results in Google Sheets.
- Take advantage of the Google Workspace Marketplace: The Google Workspace Marketplace is a collection of apps and add-ons that can help you customize and enhance your Google Workspace experience. You can find apps for a wide range of tasks, such as creating diagrams, signing documents electronically, and more.
- Use Google Slides for presentations: Google Slides is an online presentation tool that can be used to create professional-looking slideshows. You can collaborate with others in real-time, add animations and transitions, and even insert videos.
- Use Google Drive for file storage and sharing: Google Drive is the main storage service for all your files, including documents, images, videos, and more. You can share files and folders with others, collaborate in real-time, and access your files from anywhere.
These are some of the most useful tips and tricks for getting the most out of Google Workspace. The apps are constantly updated and many new features are added regularly.
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Top 10 Google Drive Tips and Tricks
- Use the “Quick Access” feature: Google Drive’s Quick Access feature uses machine learning to predict which files you might need next, and it surfaces them at the top of your Google Drive for easy access.
- Take advantage of the offline feature: With the Google Drive Offline extension, you can access and edit your files even when you don’t have an internet connection.
- Create shortcuts to frequently used files: You can create a shortcut to a file or folder by right-clicking on it and selecting “Add to My Drive.” This way, you can quickly access it from your Google Drive home screen.
- Use the “Take a Snapshot” feature: Google Drive has a built-in “Take a Snapshot” feature that allows you to take a screenshot of any webpage and save it directly to your Google Drive.
- Use the “Suggested Sharing” feature: Google Drive’s “Suggested Sharing” feature uses machine learning to predict which people you might want to share a file with, and it automatically suggests their email addresses to you.
- Search for files using specific keywords: You can use advanced search operators to search for files that contain specific keywords or were created by a certain person.
- Use the “File Stream” feature: With the Google File Stream feature, you can access all of your Google Drive files directly from your computer’s file explorer, without having to download them first.
- Use the “Add-ons” feature: You can use Google Drive’s Add-ons feature to add extra functionality to your Google Drive, such as the ability to sign PDFs, send emails directly from Google Drive, and more.
- Use the “Activity” feature: Google Drive’s “Activity” feature allows you to see who has accessed a file, when they accessed it, and what changes they made.
- Use the “Google Backup and Sync” app: Google Backup and Sync is a handy app that allows you to automatically back up specific folders from your computer to your Google Drive. This way, you can be sure that your important files are always safe and accessible.
These are some of the most useful tips and tricks for getting the most out of Google Drive. It’s a powerful tool that offers a lot of features, and learning how to use them can help you be more productive and organized with your files.
How do you insert an image into a slide on Google Drive?
To insert an image into a slide on Google Drive, you can use the Google Slides app. Here are the steps:
- Open Google Slides in your browser and navigate to the presentation you want to add the image to.
- Select the slide you want to add the image to.
- Click on the “Insert” menu at the top of the screen.
- Select “Image” from the drop-down menu.
- Choose the option to “Upload” an image, then select the image you want to insert from your computer.
- You can also select “By URL” if you have image link and paste the image link.
- Drag the image around the slide to reposition it or use the handles to resize it.
- Once you have the image positioned and sized the way you want, you can add text or other elements to the slide as needed.
Alternatively, you can also Drag and drop an image directly from your computer to your slide.
It should be noted that the slide should be in edit mode, otherwise you will not be able to insert image.
How can you rotate an image in Google Drive without having to download it first?
You can rotate an image in Google Drive without downloading it by using the “Preview” feature. To do this, follow these steps:
- Open Google Drive and navigate to the folder containing the image you want to rotate.
- Click on the image to open it in the “Preview” mode.
- Click on the “Tools” button in the top-right corner of the screen.
- Click on “Rotate” from the menu that appears.
- Select the desired rotation angle.
- Click on the “Save” button to save the changes to the image.
Alternatively, if you want to rotate multiple images at once, you can select the images you want to rotate and then right click on the selected files and select rotate or use the key board shortcuts Ctrl+Shift+T
You can also use many other editing tools within the preview itself to edit images.
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Can you create documents directly from Google Drive?
Yes, it is possible to create documents directly from Google Drive. Google Drive is a cloud-based storage service provided by Google that allows users to store, share, and access files from any device. It also includes a suite of productivity tools, including Google Docs, Google Sheets, and Google Slides, that allow users to create, edit, and collaborate on documents, spreadsheets, and presentations, respectively.
To create a new document in Google Drive, you can follow these steps:
- Open Google Drive by going to drive.google.com or by opening the Google Drive app on your device.
- Click on the “+ New” button on the top left corner of the screen.
- Select “Google Docs”, “Google Sheets” or “Google Slides” from the drop-down menu.
- A new document will be created and will open in a new tab.
You can also create a new document by right-clicking on the Google Drive window and selecting “New” from the context menu. The new document will be saved to your Google Drive and can be accessed, edited, and shared with others. You can also upload existing documents to Google Drive and convert them to Google Docs, Sheets or Slides format to edit them collaboratively.
Do you need a Google Drive account to view files that are shared with you?
No, you do not need a Google Drive account to view files that are shared with you. If someone shares a file with you on Google Drive, they can give you access to it by sending you a link to the file, or by adding you as a collaborator. When you click on the link, you can view the file in your browser without having to sign in to a Google account.
However, if the file is shared with you as “view-only” and the owner of the file has enabled the option of “Restrict editing” you will only be able to view the file and cannot download, print or copy it. If you want to have the full access of the file and also want to collaborate on it, you will need to sign in to a Google account or create a new one.
It is important to note that the shared link may be password protected, or the link may expire after a certain period of time. Additionally, if the person sharing the file has enabled access restrictions, such as only allowing certain people or certain domains to access the file, you may not be able to view the file if you do not meet those requirements.
Top 10 Google Docs Tips and Tricks
- Use keyboard shortcuts: Google Docs has a variety of keyboard shortcuts that can help you work faster and more efficiently. For example, you can use “Ctrl + Shift + T” to undo the last action, or “Ctrl + Shift + V” to paste text without formatting.
- Collaborate in real-time: With Google Docs, you can work on documents with other people at the same time, and see each other’s changes as they happen. This can be a great way to collaborate on projects with team members or classmates.
- Use the “Explore” feature: The Explore feature in Google Docs can help you research and write documents more quickly by suggesting relevant information, images, and citations.
- Use the “Research” feature: You can use the “Research” feature in Google Docs to find and insert quotes or information from external sources directly into your document.
- Use templates: Google Docs has a wide variety of templates available for different types of documents, such as resumes, letters, and more. These templates can help you get started quickly and ensure a professional look for your document.
- Use the “Voice Typing” feature: Google Docs has a built-in “Voice Typing” feature that allows you to dictate text into your document using your voice. This can be a great way to write more quickly, or to transcribe an audio recording.
- Use the “Add-ons” feature: You can use Google Docs’ Add-ons feature to add extra functionality to your documents, such as the ability to sign PDFs, create diagrams, and more.
- Use the “Commenting” feature: The commenting feature in Google Docs allows you to leave feedback or suggestions directly on a document, making it easy for others to see and respond to your comments.
- Use the “Track Changes” feature: The “Track Changes” feature in Google Docs allows multiple people to collaborate on a document and see each other’s changes and suggestions, but still keep the original document intact.
- Use the “Headings” feature: Using headings in Google Docs can help structure and organize your documents, making them more readable and easier to navigate. You can format text as headings, then use the “Table of Contents” feature to create a table of contents for the document based on the headings.
These are some of the most useful tips and tricks for getting the most out of Google Docs. It’s a powerful tool that offers a lot of features, and learning how to use them can help you be more productive and organized with your writing and editing process.
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- AWS Certified AI Practitioner (AIF-C01): Conquer the AWS Certified AI Practitioner exam with our AI and Machine Learning For Dummies test prep. Master fundamental AI concepts, AWS AI services, and ethical considerations.
- Azure AI Fundamentals: Ace the Azure AI Fundamentals exam with our comprehensive test prep. Learn the basics of AI, Azure AI services, and their applications.
- Google Cloud Professional Machine Learning Engineer: Nail the Google Professional Machine Learning Engineer exam with our expert-designed test prep. Deepen your understanding of ML algorithms, models, and deployment strategies.
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How do we upload a large file on Google Docs? I am trying to upload a 316 page file but only 63 pages are uploading.
There are a few things you can try to upload a large file on Google Docs:
- Use the Google Drive app: Google Drive app allows you to upload files up to 5 TB in size. You can download it from the Google Play or App Store and then use it to upload your large file.
- Zip the file: Compress your file into a .zip or .rar file and then upload it to Google Drive. Once the file is uploaded, you can unzip it and open it in Google Docs.
- Convert the file: If the file is in a format that is not compatible with Google Docs, convert it to a compatible format (such as .docx or .pdf) and then upload it.
- Split the file: If you are unable to upload the file in one go, you can split it into smaller parts and upload them separately. Once all the parts are uploaded, you can merge them in Google Docs.
- Check your internet connection: A weak internet connection can cause issues with uploading large files. Ensure that you are connected to a stable and fast internet connection.
- Try using Google Chrome browser: Some users have reported that using Chrome browser instead of other browsers such as Firefox or Safari can help with uploading large files.
It’s worth noting that Google Docs has a maximum file size of 5 TB and if your file exceeds that size, you will not be able to upload it. In addition, make sure to also check if you have enough storage available in your Google Drive account.
Top 10 Google Slides Tips and Tricks
- Use keyboard shortcuts: Google Slides has a variety of keyboard shortcuts that can help you work faster and more efficiently. For example, you can use “Ctrl + Shift + T” to undo the last action, or “Ctrl + Shift + V” to paste text without formatting.
- Collaborate in real-time: With Google Slides, you can work on presentations with other people at the same time, and see each other’s changes as they happen. This can be a great way to collaborate on projects with team members or classmates.
- Use the “Explore” feature: The Explore feature in Google Slides can help you research and write your presentation more quickly by suggesting relevant information, images, and citations.
- Use templates: Google Slides has a wide variety of templates available for different types of presentations, such as business, education, and more. These templates can help you get started quickly and ensure a professional look for your presentation.
- Use the “Add-ons” feature: You can use Google Slides’ Add-ons feature to add extra functionality to your presentations, such as the ability to create charts, diagrams, and more.
- Use the “Master” feature: The Master feature in Google Slides allows you to create a template slide, with a specific layout and design, that can be reused across multiple slides in the same presentation, making it easy to maintain consistency.
- Use the “Speaker Notes” feature: The “Speaker Notes” feature in Google Slides allows you to write notes for yourself about what you want to say for each slide, which can be helpful when giving a presentation.
- Use the “Animations” feature: Google Slides allows you to add animations to elements on your slide, to make your presentation more dynamic and engaging.
- Use the “Transitions” feature: The Transitions feature in Google Slides allows you to add effects between slides, such as fade, dissolve, and more, giving your presentation a polished look.
- Use the “Presenter View” feature: The “Presenter View” feature in Google Slides allows you to see the current slide, the next slide, your speaker notes, and a timer while presenting, so you can stay on track and keep your audience engaged.
These are some of the most useful tips and tricks for getting the most out of Google Slides. It’s a powerful tool that offers a lot of features, and learning how to use them can help you be more productive and organized with your presentation-making process.
Top 10 Google Forms Tips and Tricks
Here are ten tips and tricks for using Google Forms:
- Use “Go to section based on answer” to create a branching form, where the questions a respondent sees are based on their previous answers.
- Use the “Required” option to ensure that respondents complete certain questions before submitting the form.
- Use the “Data validation” option to ensure that respondents enter certain types of information, such as a valid email address or a number within a certain range.
- Use the “Randomize order of questions” option to randomize the order of questions for each respondent, which can help prevent bias in your data.
- Use the “Limit to one response” option to ensure that each respondent can only submit the form once.
- Use the “Add collaboration” option to share the form with others and collaborate on it in real time.
- Use the “Schedule Form” option to automatically close your form on a specific date and time, or after a certain number of responses have been received.
- Use the “Autocomplete” option to make it easier for respondents to enter frequently used or personal information.
- Use the “File upload” option to collect files and documents from respondents, such as images or PDFs.
- Use the “Create a quiz” option to create a multiple-choice or checkbox quiz, and then use the “Grade” option to automatically grade the quiz and provide feedback to respondents.
Is there a way to find out the number of respondents in Google Forms without opening each respondent’s response?
Yes, there is a way to find out the number of respondents in Google Forms without opening each respondent’s response. You can view the summary of responses in the “Responses” tab of the Google Form. The summary will show the number of responses received, as well as the option to view the responses in a spreadsheet format. You can also filter the responses based on various criteria and download them to your computer. Additionally, you can use Google Forms add-ons such as “Form Publisher” or “FormMule” which allows you to send the responses to a Google Sheets or Excel, and then use the spreadsheet functions to analyse the data.
Top 10 Google Sheets Tips and Tricks
Here are ten tips and tricks for using Google Sheets:
- Use keyboard shortcuts to quickly navigate and perform common actions, such as ctrl+c to copy, ctrl+v to paste, and ctrl+z to undo.
- Use the “=QUERY” function to quickly filter and sort large data sets, similar to a SQL query.
- Use the “=IMPORTXML” function to import structured data from websites, such as stock prices or weather data.
- Use the “=IMPORTRANGE” function to import data from other sheets, such as data from a master sheet that is shared with multiple team members.
- Use the “=IF” function to perform basic calculations, such as calculating sales tax or commission.
- Use the “=SUMIF” and “=COUNTIF” functions to perform mathematical operations based on a certain condition, such as summing all numbers in a range that are greater than a certain value.
- Use the “=Vlookup” function to lookup and retrieve data from other sheets or even other documents.
- Use the “=HLOOKUP” function to do a horizontal lookup.
- Use the “Data validation” option to ensure that data entered in a certain range of cells meets certain conditions, such as being a whole number or a date within a certain range.
- Use the “Conditional formatting” option to format cells based on their contents, such as making all negative numbers red, or highlighting cells that contain a certain keyword.
How can I import LinkedIn searches into Google Sheets?
There are a few different ways to import LinkedIn searches into Google Sheets:
- Use a LinkedIn scraper tool: There are a number of LinkedIn scraper tools available online that can be used to scrape data from LinkedIn searches and export it to Google Sheets. Some popular options include Hunter.io, Skrapp.io, and LeadLeaper.
- Use a LinkedIn API: LinkedIn offers an API that allows developers to access data from LinkedIn searches. You can use this API to extract data from LinkedIn searches and import it into Google Sheets using a script or a tool like Import.io
- Use Google Sheets Add-ons: There are several add-ons available for Google Sheets that allow you to import data from LinkedIn searches. Some popular options include Hunter, LinkedIn Sales Navigator, and LinkedIn Lead Gen Forms.
- Use a manual copy-paste method: You can also use a manual copy-paste method to import LinkedIn searches into Google Sheets. You can perform a search on LinkedIn, go through the results, and copy-paste the data you want into a Google Sheet.
Please note that some of these methods may require a LinkedIn premium account or may have limitations on the amount of data that can be scraped. Also, some scraping methods may violate LinkedIn terms of service.
Top 10 Google Search Tips and Tricks
What are top 10 Google Search Tips and Tricks that very few people know about?
- Use quotation marks to search for an exact phrase: If you want to search for a specific phrase, enclose it in quotation marks. Example: “Google Search Tips and Tricks”
- Use the minus sign to exclude specific words: If you want to exclude specific words from your search, use the minus sign (-) before the word you want to exclude. Example: Google Search Tips and Tricks – few
- Use the site: operator to search within a specific website: If you want to search for something within a specific website, use the site: operator followed by the website’s URL. Example: Google Search Tips site:www.example.com
- Use the filetype: operator to find specific file types: If you want to find a specific file type, use the filetype: operator followed by the file extension. Example: Google Search Tips filetype:pdf
- Use the related: operator to find related websites: If you want to find websites related to a specific website, use the related: operator followed by the website’s URL. Example: related:www.example.com
- Use the define: operator to find definitions: If you want to find the definition of a word, use the define: operator followed by the word. Example: define:Google
- Use the link: operator to find websites that link to a specific website: If you want to find websites that link to a specific website, use the link: operator followed by the website’s URL. Example: link:www.example.com
- Use the cache: operator to view a website’s cached version: If you want to view a website’s cached version, use the cache: operator followed by the website’s URL. Example: cache:www.example.com
- Use the intext: operator to search for specific words within a webpage: If you want to search for specific words within a webpage, use the intext: operator followed by the word. Example: intext:Google Search Tips
- Use the inurl: operator to search for specific words within a URL: If you want to search for specific words within a URL, use the inurl: operator followed by the word. Example: inurl:Google Search Tips
These are just a few of the many advanced search techniques that can be used on Google, and can help you find more specific and relevant results. Keep in mind that Google’s search algorithm is constantly evolving so some of the tips may not work as expected, but they’re still worth trying.
What challenges remain in advancing the safety and privacy features of Google Images?
There are several challenges that remain in advancing the safety and privacy features of Google Images:
- Identifying and removing inappropriate content: Identifying and removing inappropriate content, such as child sexual abuse material, remains a major challenge for Google Images. Despite the use of machine learning algorithms and human moderators, it can be difficult to accurately identify and remove all inappropriate content.
- Protecting personal privacy: Protecting the privacy of individuals whose images appear on Google Images is also a challenge. Google has implemented features such as “SafeSearch” to help users filter out explicit content, but there remains a risk that sensitive personal information could be exposed through reverse image searches.
- Dealing with misinformation: Google Images is also facing challenges in dealing with misinformation, as false or misleading information can be spread through images.
- Balancing user’s rights with copyright infringement: Balancing the rights of users to access and share information with the rights of copyright holders to protect their work is a challenging issue for Google Images. Google has implemented a copyright removal process, but it can be difficult to effectively enforce copyright infringement on a large scale.
- Addressing the issue of deepfakes: With the advent of deepfakes, images can be manipulated and deepfake images can be difficult to detect, this is a new challenge for Google Images to address.
- Addressing the needs of visually impaired: Making sure that the images in Google Images are accessible to the visually impaired is another important challenge for Google.
Google continue to invest in developing technology and policies to address these challenges and to ensure the safety and privacy of users on their platform. However, given the scale and complexity of these issues, it is likely that challenges will continue to arise in the future.
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.
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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.


PASSED AWS CCP (2022)
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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Contact us here to book a demo and receive a personalized value proposition
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)
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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:
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- AWS Certified AI Practitioner (AIF-C01): Conquer the AWS Certified AI Practitioner exam with our AI and Machine Learning For Dummies test prep. Master fundamental AI concepts, AWS AI services, and ethical considerations.
- Azure AI Fundamentals: Ace the Azure AI Fundamentals exam with our comprehensive test prep. Learn the basics of AI, Azure AI services, and their applications.
- Google Cloud Professional Machine Learning Engineer: Nail the Google Professional Machine Learning Engineer exam with our expert-designed test prep. Deepen your understanding of ML algorithms, models, and deployment strategies.
- AWS Certified Machine Learning Specialty: Dominate the AWS Certified Machine Learning Specialty exam with our targeted test prep. Master advanced ML techniques, AWS ML services, and practical applications.
- AWS Certified Data Engineer Associate (DEA-C01): Set yourself up for promotion, get a better job or Increase your salary by Acing the AWS DEA-C01 Certification.
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)
Resources Used:
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 AWS Certified Cloud Practitioner (CLF-C01) Exam!

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?
– 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

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.
For my exam prep, I bought the adrian cantrill video course, tutorialsdojo (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.
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 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

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.
I Passed AWS Developer Associate Certification DVA-C01 Testimonials

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.
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:
KMS Keys
AWS Owned Keys
AWS Managed KMS keys
Customer Managed Keys
asymmetrical
symmetrical
Imported key material
What services can use AWS Managed Keys
KMS Rotation Policies
Depending on the key matters the rotation that can be applied (if possible)
Key Policies
Grants (temporary access)
Cross-account grants
Permanent Policys
How permissions are distributed depending on the assigned principle
IAM Policy format
Principles (supported principles)
Conditions
Actions
Allow to a service (ARN or public AWS URL)
Roles
Secrets Management
Credential Rotation
Secure String types
Parameter Store
AWS Secrets Manager
Route 53
DNSSEC
DNS Logging
Network
AWS Network Firewall
AWS WAF (some questions try to trick you into thinking AWS Shield is needed instead)
AWS Shield
Security Groups (Stateful)
NACL (Stateless)
Ephemeral Ports
VPC FlowLogs
AWS Config
Rules
Remediation (custom or AWS managed)
AWS CloudTrail
AWS Organization Trails
Multi-Region Trails
Centralized S3 Bucket for multi-account log aggregation
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 🙁
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
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 #AzureFundamentals #AZ900 #AzureTraining #LeranAzure #Djamgatech
Passed AZ-900, SC-900, AI-900, and DP-900 within 6 weeks!
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
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
Passed AZ-104 with about a 6 weeks prep
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!!
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
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.
Passed AI-900! Tips & Resources Included!!

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
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

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.
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:
Jon Bonso Tutorial Dojo -GCP ACE preparation
Udemy course:
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 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
- 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 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 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
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:
- Market leader in cloud
- AWS Certifications are highly sought after
- Extensive AWS training material is available
- Easier to learn when first starting out
- Good documentation of services
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
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/
- Empowering women with cloud and AI skills: Register for the Google Launchpad for Women seriesby (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 0x3e9487116e50>), ('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
- New Free Digital Course: AWS Well-Architected for Enterprisesby 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 2025by 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 Instituteby Carlie Marvel (AWS Training and Certification Blog) on January 17, 2025 at 8:55 pm
In January 2024, we welcomed the first cohort of learners of AWS Cloud Institute, a comprehensive program designed to equip aspiring cloud builders with the skills needed for high-demand roles in cloud technology. Today, we’re thrilled to celebrate the graduation of this inaugural cohort of AWS Cloud Institute learners, marking a significant milestone in their journey toward launching successful careers in cloud development. Read how the program changed the lives of so many new cloud professionals.
- Mapping your AI/ML career journeyby 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 Architectby 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 Cloudby (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 0x3e94836dc430>), ('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 Decemberby (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 0x3e9468abf760>), ('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.
- New courses and certification updates from AWS Training and Certification in December 2024by Training and Certification Blog Editor (AWS Training and Certification Blog) on December 10, 2024 at 4:53 pm
In December 2024, we launched nine new digital training products on AWS Skill Builder including five new AWS Builder Labs, a new AWS Jam focused on troubleshooting AWS Web Development issues in a gamified learning environment, and one new AWS Digital Classroom course. We also launched AWS Learning Assistant for AWS Builder Labs, a new AI-powered, chat-based guide that enhances self-paced learning by providing real-time responses and insights to learners.
- Announcing AWS AI Skills Championsby Izabela Milewska (AWS Training and Certification Blog) on December 9, 2024 at 2:58 pm
This past week at AWS re:Invent, we celebrated the organizations that went above and beyond to certify staff in AI/ML skills. AWS Certification hosted a reception at the AWS Certification Lounge to award AWS AI Skills Champion Trophies to these organizations as AWS AI Certification Early Adopters.
- Navigate your AWS Certification journey like an AWS proby Vimal Vyas (AWS Training and Certification Blog) on November 26, 2024 at 1:11 am
We’re both experienced AWS professionals and have witnessed firsthand how cloud technologies can accelerate mission-critical initiatives and solve complex challenges in regulated industries. AWS Certifications have been an important part of our respective career progression and we’re passionate about sharing our certification experiences to help others. This blog outlines our AWS Certification learning journeys, the impact on our careers, and our best practices to prepare for an AWS Certification exam.
- Accelerate your VMware journey with AWS Trainingby Nidhi Arora (AWS Training and Certification Blog) on November 18, 2024 at 11:46 pm
AWS is committed to supporting customers in their transition to the cloud by offering a comprehensive training and resources for migrating VMware workloads to the AWS Cloud. Our training portfolio covers every stage of the migration process - from initial planning/migration, to modernization, and finally managing VMware workloads on AWS.
- Upskill your team for generative AI projects with AWS Trainingby Kumar Kumaraguruparan (AWS Training and Certification Blog) on November 8, 2024 at 6:12 pm
As organizations move from dabbling in generative artificial intelligence (AI) to building customer-facing applications, having a skilled team is crucial for project success. You can leverage AWS Training courses to upskill your team, ensuring they are prepared for your next generative AI project.
- Beyond the basics: Build real-world gen AI skills with the latest learning paths from Google Cloudby (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 0x3e94858efa00>), ('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 veteransby (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 Cloudby (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 0x3e94837ce160>), ('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 0x3e94837ce430>), ('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 0x3e94837ce4c0>), ('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 0x3e94837ceb20>), ('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 0x3e94837ce790>), ('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 Courseraby (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 0x3e9462a4e370>), ('btn_text', 'Enroll Now'), ('href', 'https://www.coursera.org/learn/modern-security-operations'), ('image', None)])]>
- 5 more myths about platform engineering: how it’s built, what it does, and what it doesn’tby (Training & Certifications) on June 6, 2024 at 4:00 pm
In an earlier post, we discussed some persistent myths about platform engineering — what it is, what it isn’t, and ways in which you’re already performing core platform engineering tasks. Here, we will cover five more myths, this time about how platforms are built, what they do, and what they don't. 6. MYTH: Platform engineering eliminates the need for infrastructure teams Even if you have the best developer platform on the planet, it still runs on top of complex infrastructure, which will always require ongoing maintenance by specialists who understand it. After all, someone needs to architect, manage, scale, troubleshoot, and optimize that infrastructure. And try as you might, that infrastructure will continue to fail just as it did before you introduced platform engineering. A common mistake is to eliminate the infrastructure team and to expect a totally new team to make up for that loss. Infrastructure teams already have the expertise to handle these responsibilities, and as such, are good candidates to become platform engineers. By using the team with institutional knowledge of the underlying infrastructure, you're more likely to adapt your current system into a viable, engineered platform. However, what platform engineering does change is how infrastructure specialists prepare for and respond to failures, as the platform engineering role is more focused on platform development, and less on manual, repetitive tasks. So while platform engineering changes the nature of infrastructure work, it doesn’t eliminate it altogether. You still need to build a self-service catalog of golden paths that developers can select to deploy their applications. That catalog needs to be documented and refined, advocated for within the organization, and introduced to new engineers. Improvements to the platform also need to be rolled out to existing tenants. Scale and security are always a source of new issues. Infrastructure experts are extremely valuable members of any IT staff; allowing them to codify their knowledge into a platform is essential to an organization looking to succeed at software delivery. Finally, even the most mature platforms have components that fall outside the scope of automation, and infrastructure experts will still be responsible for them. And that’s OK, because they understand this work firsthand, so are better able to prioritize which features to add to the platform engineering product backlog. New systems come online and evolve, cloud providers expand their offerings, but the platform is never done. 7. MYTH: Introducing platform engineering will dramatically impact staffing costs Part of building a platform engineering team is taking the people with the most DevOps skills within an organization and evolving into the new structure. This allows them and the organization to better apply DevOps principles with fewer people, using self-service automation and golden paths. A common concern is that a platform engineering team will require a lot of additional personnel. A platform engineering team indeed needs to be staffed, but that staff can come from existing operations and software engineering teams. Over time, the resulting platform should more than pay for itself by leveraging gains from shared services. In other words, the platform engineering team is an investment that you can fund from existing in-house teams. One model to consider is Google SRE's history of sublinear scaling, where the teams responsible for ensuring availability set objectives to grow their headcount at a lower growth rate than the system they run. When introducing platform engineering, an antipattern would be to expect a reduction of operations staff or developers out of the gate. Retraining existing teams works well because they're already familiar with your business needs, and have a lot of experience with the underlying infrastructure, whether it’s exposed directly or via a platform. In fact, we observe that teams that adopt platform engineering end up finding that more work can be done by the same individuals because there’s a platform that they can leverage. When implemented correctly, platform engineering increases efficiency and reduces operational overhead: Automating deployment pipelines, infrastructure, and configuration reduces manual work. The self-service model reduces bottlenecks, as there’s minimal intervention required from operations teams Workflows become streamlined, allowing teams to do more with the same (or potentially even fewer) resources. And while you may need to do some initial upskilling or hiring, over time, the transition to platform engineering unlocks long-term efficiency by applying platform expertise across the organization. 8. MYTH: Adopting platform engineering today will quickly solve all my biggest problems In any complex environment, hoping for a quick-fix is almost always wishful thinking. Change takes time, and the timeline for that change needs to account for identifying your organization's constraints and how quickly it can curate relevant solutions. Nor is there a one-size-fits-all approach to platform engineering; it needs to be tailored to meet the specific needs of your organization. However, you *can* achieve faster results by building out a minimal viable platform (MVP), starting from a subset of your user base and creating a fast feedback loop. Starting with some pre-made MVPs can help to bootstrap a team, but it is important to not make the mistake and think that you can "buy your way out of this" by adopting a fully-built platform, and presto! Improving immediately. Investment, research, and introspection are the right path forward here. By starting with an MVP and adding capabilities based on early adopters’ feedback, you can iteratively build a platform that starts delivering value quickly. Don't try to design the perfect platform with a five year plan. In short, platform engineering is a journey that requires a change in mindset across development and operations, a cultural shift to embrace the platform, golden path engineering, and tooling to address friction in the development process. All of which takes time to get it right. 9. MYTH: You should apply platform engineering practices to every application Platform engineers actively analyze and identify tasks or processes which create a high cognitive load on development and operations teams, taking targeted actions to alleviate the burden. That does not describe all tasks and processes within a software delivery organization. As such, consider applying platform engineering to applications where developers are overwhelmed by infrastructure complexities, or the operations team faces constant friction. In these situations, a "golden path" approach can streamline development and management. This typically involves selecting suitable cloud services, automating deployments, and establishing standardized configurations. First, focus on abstracting things that have the highest usage and toil, i.e., services that both take a high cognitive load and are frequently used. Prioritizing these systems allows the benefits of the platform to be realized sooner. Make sure your abstractions provide value, sensible defaults, along with guidance and explanations for why you made certain choices. Having "break-glass" methods for stepping outside the platform if needed is highly encouraged. At least initially, think in terms of building a platform for depth rather than breadth. Satisfy and automate common use-cases as completely as you can before moving on to new ones. Similarly, don't start with the biggest, most important service to your organization. An antipattern is to adopt the "biggest bang" application first, to maximize gain over time. This is likely to fail, as teams haven’t had the time to develop confidence in your nascent platform, or the platform doesn’t yet have the requisite capabilities. Instead, start with smaller, less-demanding services. A team doesn’t need to deploy every service when adopting the platform. You can aim to adopt some large percentage of them, but there will always be "strays" that might require a separate approach. As long as the discussion happens and is documented for future re-evaluation, don't worry too much about that. 10. MYTH: All cloud services map to platform engineering When people begin their platform engineering journey, they often ask us "does this cloud service map to platform engineering?” Don’t mistake adopting a cloud service for practicing platform engineering. This misunderstanding hinders effective implementation, and suggests that there’s an unclear understanding of what platform engineering actually is.While you can use any cloud service with platform engineering, what matters is how you integrate that cloud service into your developer experience through the platform. Let’s briefly revisit core platform engineering practices and processes, so that you can decide for yourself whether a cloud service or product is a fit for your platform. DevOps practices used for platform engineering Example processes 1. Developer-centric approach Measuring developer experience (DX) Golden paths Self-service capabilities 2. Automation and Infrastructure as Code (IaC) Automate everything Infrastructure as Code tooling 3. Security and compliance Security by design Guardrails Compliance as Code 4. Observability Centralized monitoring Alerting Troubleshooting tools 5. Continuous improvement Metrics-driven approach Feedback loops Learning from incidents Your next steps with platform engineering Over the course of this blog, you’ve learned that platform engineering is a new approach to managing IT infrastructure and software development. It aims to streamline the software development process by providing developers with self-service tools and platforms, abstracting away complex infrastructure details, and automating repetitive tasks. While it builds on existing practices like DevOps and automation, it is worth considering this on its own to ensure the most benefit for teams. Key takeaways: Platform Engineering is a natural evolution of DevOps, aiming to address the challenges of modern software development at scale. It's not a one-size-fits-all solution and requires a tailored approach to meet your organization's specific needs. Start small with a minimal viable platform, prioritize high-value tasks, and iterate based on feedback to build a platform that truly delivers value to your developers and organization. Keep reading about golden paths and laying the foundation for a career in platform engineering. Also check out recorded talks from PlatformCon. Last but not least, be sure to contribute to the annual DORA survey!
- All Google Cloud courses and labs are now available at no cost through Innovatorsby (Training & Certifications) on June 4, 2024 at 4:00 pm
November 15, 2024: The Cloud Innovators Plus program has evolved and is now the premium tier of the Google Developer Program. As the managing director of Google Cloud Learning, I see firsthand how cloud developers with a drive for continued education come out on top. Google Cloud Certified professionals are the highest paid in the industry; Google offers 7 of the 10 top-paying IT certifications globally1. We want to make it easier than ever for you to tap into that potential to earn more. That's why, this year at I/O, Google announced that every member of the Google Cloud Innovators community, our no-cost developer program, is now granted 35 unrestricted learning credits every month to use on courses and hands-on labs through Google Cloud Skills Boost. If you haven’t already, you can join Innovators today to get started. The best part: these credits will continue to renew every month, so you can keep learning and earning skill badges. Learn your way, at your pace With credits that renew each month, you can dive deep into specific areas of interest or explore a variety of on-demand topics to expand your knowledge. Whether you want to become proficient in generative AI or gain a broader understanding of cloud technologies, the choice is yours. Courses on Google Cloud Skills Boost are on-demand and feature hands-on labs, so you can gain the skills you need to tackle real-world challenges and make an impact in your career. Showcase your skills with shareable skill badges It’s never been easier to get credentialed in Google Cloud tech. Google Cloud skill badges are designed for all levels of developers, and cover a wide range of topics, from generative AI and data engineering, to security. When you join the no-cost Innovators community, you’ll gain enough learning credits to earn a Google-verified skill badge every month. As you build your cloud skills, stand out by sharing your skill badges with your professional network through Credly, where your credentials are officially verified by Google and collected in your mobile wallet. Become an Innovator today If you’re looking for a community where you can learn and grow your cloud skills, join Google Cloud Innovators. As an Innovator, you can network with peers and to stay up to date in the evolving world of cloud technology—at no cost. Become a member and start your learning journey today. You’ll be automatically granted 35 learning credits for Google Cloud Skills Boost as soon as you join. 1. Skillsoft “IT Skills & Salary Report,” 18th Edition, 2023
- Google Cloud offers new AI, cybersecurity, and data analytics training to unlock job opportunitiesby (Training & Certifications) on April 15, 2024 at 2:30 pm
Google Cloud is on a mission to help everyone build the skills they need for in-demand cloud jobs. Today, we're excited to announce new learning opportunities that will help you gain these in-demand skills through new courses and certificates in AI, data analytics, and cybersecurity. Even better, we’re hearing from Google Cloud customers that they are eager to consider certificate completers for roles they’re actively hiring for, so don’t delay and start your learning today. Google Cloud offers new generative AI courses Introduction to Generative AI aside_block <ListValue: [StructValue([('title', 'Get hands-on experience for free'), ('body', <wagtail.rich_text.RichText object at 0x3e946816e3a0>), ('btn_text', 'Start building for free'), ('href', 'http://console.cloud.google.com/freetrial?redirectPath=/welcome/'), ('image', None)])]> Demand for AI skills is exploding in the market. There has been a staggering 21x increase in job postings that include AI technologies in 2023.1 To help prepare you for these roles, we’re announcing new generative AI courses on YouTube and Google Cloud Skills Boost, from introductory level to advanced. Once you complete the hands-on training, you can show off your new skill badges to employers. Introductory (no cost!): This training will get you started with the basics of generative AI and responsible AI. Intermediate: For Application Developers, and you will learn how to use Gemini for Google Cloud to work faster across networking, security, and infrastructure. Advanced: For AI/ ML Engineers, and you will learn how to integrate multimodal prompts in Gemini into your workflow. New AI-powered, employer-recognized Google Cloud Certificates Gen AI has triggered massive demand for skilling, especially in the areas of cybersecurity and data analytics,2 where there are significant employment opportunities. In the U.S. alone: There are over 505,000 open entry-level roles3 related to a Cloud Cybersecurity Analyst, with a median annual salary of $135,000.4 There are more than 725,000 open entry-level roles5 related to a Cloud Data Analyst, with a median annual salary of $85,700.6 Building on the success of the Grow with Google Career Certificates, our new Google Cloud Certificates in Data Analytics and Cybersecurity can help prepare you for these high-growth, entry-level cloud jobs. A gen AI-powered learning journey What better way to understand just how much AI can do for you than integrating it into your learning journey? You’ll get no-cost access to generative AI tools throughout your learning experience. For example, you can put your skills to use and rock your interviews with Interview Warmup, Google’s gen AI-powered interview prep tool. Talent acquisition, reimagined And while we're at it, we'll help connect you to jobs. Our new Google Cloud Affiliate Employer program unlocks access for certificate completers to apply for jobs with some top cloud employers, like the U.S. Department of the Treasury, Rackspace, and Jack Henry. We’re also taking it one step further. Together, with the employers in the affiliate program, we're helping reimagine talent acquisition through a new skills-based hiring effort. This new initiative uses Google Cloud technology to help move certificate completers through the hiring process. Here’s how it works: Certificate completers in select hiring locations will have the chance to take custom labs that represent on-the-job scenarios, specific to each employer partner. These labs will be considered the first stage in their hiring process. By matching candidates with the right skills to the right jobs, this initiative marks a major step forward in creating more access to job opportunities for cloud employers. The U.S. Department of the Treasury will start using these new Google Cloud Certificates and labs for cyber and data analytics talent identification across the federal agency, per President Biden's Executive Order on AI. “In an age of rapid innovation and adoption of new technology offering the promise of improved productivity, it is imperative that we equip every worker with accessible training and development opportunities to understand and apply this new technology. We are partnering with Google to provide the new Cloud Certificates training for our current and future employees to accelerate their careers in cybersecurity and data analytics.” - Todd Conklin, Chief AI Officer and Deputy Assistant Secretary of Cybersecurity and Critical Infrastructure Protection, U.S. Department of the Treasury No-cost access for higher education institutions worldwide To expand access to these programs, educational institutions, as well as government and nonprofit workforce development programs across the globe, can offer these new certificates and gen AI courses at no cost. Learn more and apply today. And in the U.S., learners who successfully complete a Google Cloud Certificate can apply for college credit,7 to have a faster and more affordable pathway to a degree. “Purdue Global's students have benefited greatly from the strong working relationship between Purdue Global and Google. Together, they were the pioneers in stacking Grow with Google certificates into four types of degree-earning credit certificates over the past two years. We believe these new Google Cloud Cybersecurity and Data Analytics Certificates will equip our working adult learners with the essential skills to move forward and succeed in today’s cloud-driven market.” - Frank Dooley, Chancellor of Purdue Global Take the next steps to upskill and identify cloud-skilled talent We're helping to prepare new-to-industry talent for the most in-demand cloud jobs, expanding access to these opportunities globally, and pioneering a skills-based hiring effort with employers eager to hire them. Here's how you can get started: Learners: Preview the courses and certificates on Google Cloud YouTube and earn the full credential on Google Cloud Skills Boost to give yourself a headstart in the race to hire AI talent. Higher education institutions and government / nonprofit workforce programs: Apply today to skill up your workforce at no cost. Employers: Express interest to become a Google Cloud Affiliate Employer and be considered for our skills-based hiring pilot to connect with cloud-skilled talent. 1. LinkedIn, Future of Work Report (2023)2. CompTIA Survey (Feb 2024)3. U.S. Bureau of Labor Statistics (2024)4. (ISC)2 Cybersecurity Workforce Study (2022)5. U.S. Bureau of Labor Statistics (2024) 6. U.S. Bureau of Labor Statistics (2024) 7. The Google Cloud Certificates offer a recommendation from the American Council on Education® of up to 10 college credits.
Top-paying Cloud certifications:
Google Certified Professional Cloud Architect — $175,761/yearAWS 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
A Twitter List by enoumen
A Twitter List by enoumen
Top 100 AWS Solutions Architect Associate Certification Exam Questions and Answers Dump SAA-C03
How do we know that the Top 3 Voice Recognition Devices like Siri Alexa and Ok Google are not spying on us?
Djamgatech: Multilingual and Platform Independent Cloud Certification and Education App for AWS, Azure, Google Cloud


Elevate Your Career with AI & Machine Learning For Dummies PRO and Start mastering the technologies shaping the future—download now and take the next step in your professional journey!
Djamgatech – Multilingual and Platform Independent Cloud Certification and Education App for AWS Azure Google Cloud
Djamgatech is the ultimate Cloud Education Certification App. It is an EduFlix App for AWS, Azure, Google Cloud Certification Prep, School Subjects, Python, Math, SAT, etc. [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]

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]
Imagine a 24/7 virtual assistant that never sleeps, always ready to serve customers with instant, accurate responses.
Contact us here to book a demo and receive a personalized value proposition
We combine the power of GIS and AI to deliver instant, actionable intelligence for organizations that rely on real-time data gathering. Our unique solution leverages 🍇 GIS best practices and 🍉 Power Automate for GIS integration to collect field data—texts, photos, and geolocation—seamlessly. Then, through 🍊 Generative AI for image analysis, we deliver immediate insights and recommendations right to your team’s inbox and chat tools.
Contact us here to book a demo and receive a personalized value proposition
The App covers the following Cloud Services, Framework and technologies:
AWS: VPC, S3, DynamoDB, EC2, ECS, Lambda, API Gateway, CloudWatch, CloudTrail, Code Pipeline, Code Deploy, TCO Calculator, SES, EBS, ELB, AWS Autoscaling , RDS, Aurora, Route 53, Amazon CodeGuru, Amazon Bracket, AWS Billing and Pricing, Simply Monthly Calculator, cost calculator, Ec2 pricing on-demand, IAM, AWS Pricing, Pay As You Go, No Upfront Cost, Cost Explorer, AWS Organizations, Consolidated billing, Instance Scheduler, on-demand instances, Reserved instances, Spot Instances, CloudFront, Workspace, S3 storage classes, Regions, Availability Zones, Placement Groups, Amazon lightsail, Redshift, EC2 G4ad instances, DAAS, PAAS, IAAS, SAAS, NAAS, Machine Learning, Key Pairs, AWS CloudFormation, Amazon Macie, Amazon Textract, Glacier Deep Archive, 99.999999999% durability, AWS Codestar, Amazon Neptune, S3 Bucket, EMR, SNS, Desktop As A Service, Emazon EC2 for Mac, Aurora Postgres SQL, Kubernetes, Containers, Cluster.
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,
2022 AWS Cloud Practitioner Exam Preparation
Cloud Education Certification: Eduflix App for Cloud Education and Certification (AWS, Azure, Google Cloud) [Android, iOS]
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
Set yourself up for promotion or get a better job by Acing the AWS Certified Data Engineer Associate Exam (DEA-C01) with the eBook or App below (Data and AI)

Download the Ace AWS DEA-C01 Exam App:
iOS - Android
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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.
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Top 50 Google Certified Cloud Professional Architect Exam Questions and Answers Dumps


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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%
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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.
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).
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.
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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.
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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.
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:
Notes/References1:

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:
Notes/References2:
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:
Notes/References3:
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:
Notes/References4:
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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:
Notes/References5:
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:
Notes/References6:
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:
Notes/References7:
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:
Notes/References8:
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:
Notes/References9:
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:
Notes/References10:
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:
Notes/References11:

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:
Notes/References12:
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:
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:
Notes/References14:
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:
Notes/References15:
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:
Notes/References16:
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:
Notes/References17:
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:
Notes/References18:
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:
Notes/References19:
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:
Notes/References20:
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:
Notes/References21:
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:
Notes/References22:
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:
Notes/References23:
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:
Notes/References24:
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:
Notes/References25:
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:
Notes/References26:
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:
Notes/References27:
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:
Notes/References28:
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:
Notes/References29:
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:
Notes/References30:
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:
Notes/References31:
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:
Notes/References32:
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:
Notes/References33:
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:
Notes/References34:
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:
Notes/References35:
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:
Notes/References36:
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:
Notes/References37:
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:
Notes/References38:
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:
Notes/References39:
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:
Notes/References40:
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:
Notes/References42:
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:
Notes/References43:
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:
Notes/References44:
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:
Notes/References45:
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:
Notes/References46:
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:
Notes/References47:
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:
Notes/References48:
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:
Notes/References49:
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:
Notes/References50:
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:
Notes/References51:
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:
Notes/References52:
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:
Notes/References53:
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:
Notes/References54:
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:
Notes/References55:
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:
Notes/References56:
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?
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?
What are some downsides of building softwares on top of Google App Engine?
Why is Google losing the cloud computing race?
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?
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:
- Google Certified Professional Cloud Architect – $139,529
- PMP® – Project Management Professional – $135,798
- Certified ScrumMaster® – $135,441
- AWS Certified Solutions Architect – Associate – $132,840
- AWS Certified Developer – Associate – $130,369
- Microsoft Certified Solutions Expert (MCSE): Server Infrastructure – $121,288
- ITIL® Foundation – $120,566
- CISM – Certified Information Security Manager – $118,412
- CRISC – Certified in Risk and Information Systems Control – $117,395
- CISSP – Certified Information Systems Security Professional – $116,900
- CEH – Certified Ethical Hacker – $116,306
- Citrix Certified Associate – Virtualization (CCA-V) – $113,442
- CompTIA Security+ – $110,321
- CompTIA Network+ – $107,143
- 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
3- WhizLabs
5- Udemy
6- Acloud Guru
7. Question and Answers are sent to us by good people all over the world.
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.