You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
GOOGLE CLOUDGoogle Cloud Professional Data Engineer
The Google Cloud Professional Data Engineer certification validates your ability to design, build, and operationalize data processing systems on Google Cloud. It is for data engineers who architect scalable, reliable, and secure data solutions that turn raw data into actionable insights. Earning it demonstrates you can apply Google Cloud technologies to solve real-world data challenges and drive business value.
Exam formatMultiple choice and multiple select
Duration120 minutes
DeliveryGoogle Cloud
Free questions457
Content last reviewed 30 July 2026 · Up to date
The certification
What Google Cloud Professional Data Engineer proves, and what it asks of you
What this certification covers, who it is written for, and what the exam itself looks like on the day.
5domains
19objectives
141concepts
US $200exam fee
What it is
What this certification is
What it validates, who it is written for, and the experience it assumes.
About this certification
The Google Cloud Professional Data Engineer certification validates your expertise in designing, building, and operationalizing data processing systems on Google Cloud. It covers the full data lifecycle—from ingesting and storing data to transforming it for analysis and machine learning. This certification is for data engineers who architect scalable, reliable, and secure data solutions that turn raw data into actionable insights.
Earning this certification demonstrates that you can apply Google Cloud technologies to solve real-world data challenges, including building data pipelines, managing data warehouses and data lakes, and ensuring data quality and governance. It also validates your ability to design for security, compliance, and cost optimization, making you a trusted advisor for data-driven decision-making.
Who it’s for
This certification is for data engineers who design, build, and maintain data processing systems on Google Cloud. It is ideal for professionals who work with data pipelines, data warehouses, data lakes, and analytics solutions, and who want to validate their ability to architect scalable and reliable data solutions. You should have in-depth experience with Google Cloud data services, including BigQuery, Dataflow, Pub/Sub, and Cloud Storage, as well as a strong understanding of data modeling, ETL/ELT processes, and data governance. You are comfortable with SQL, Python, or Java, and you understand how to design for performance, security, and cost.
Recommended experience
Three or more years of industry experience, including one or more years designing and managing solutions using Google Cloud. Designing and building data processing systems; Experience with Google Cloud data services such as BigQuery, Dataflow, and Pub/Sub; Proficiency in SQL and at least one programming language (Python, Java, etc.); Understanding of data modeling, ETL/ELT, and data governance
The syllabus
What you’ll learn
Every domain and objective Google Cloud measures, with the weight they carry on the exam.
The official Google Cloud exam outline · checked 30 July 2026 · See the source
Designing data processing systems
- 1.1 Designing for security and compliance
- 1.2 Designing for reliability and fidelity
- 1.3 Designing for flexibility and portability
- 1.4 Designing data migrations
Ingesting and processing the data
- 2.1 Planning the data pipelines
- 2.2 Building the pipelines
- 2.3 Deploying and operationalizing the pipelines
Storing the data
- 3.1 Selecting storage systems
- 3.2 Planning for using a data warehouse
- 3.3 Using a data lake
- 3.4 Designing for a data platform
Preparing and using data for analysis
- 4.1 Preparing data for visualization
- 4.2 Preparing data for AI and ML
- 4.3 Sharing data
Maintaining and automating data workloads
- 5.1 Optimizing resources
- 5.2 Designing automation and repeatability
- 5.3 Organizing workloads based on business requirements
- 5.4 Monitoring and troubleshooting processes
- 5.5 Maintaining awareness of failures and mitigating impact
On the day
The exam itself
Everything Google Cloud publishes about sitting it, and nothing we inferred.
Prerequisites
No mandatory prerequisites — this certification has no required predecessor exam or credential.
CertificationGoogle Cloud Professional Data Engineer
Exam formatMultiple choice and multiple select
Duration120 minutes
DeliveryGoogle Cloud
LanguagesEnglish, Japanese, Spanish, French, German, Portuguese, Korean, Chinese
PricingUS $200
Certification levelProfessional
After you pass
Where this credential goes next
The path Google Cloud lays out, how the credential is kept, and where to book.
Step-by-step path to Google Cloud Professional Data Engineer
Credential earnedGoogle Cloud Professional Data Engineer Professional level certification Renewal and maintenance
Professional certifications are valid for two years. You can renew by passing the Professional Data Engineer renewal exam or by completing designated continuing education courses on Google Skills. Renewal maintains your certification status and certificate number. Stay current with the latest technologies and maintain your certification.
Learn more about renewal requirements Lifecycle status
This certification is currently active and available. Google Cloud maintains this certification to validate current skills and industry relevance.
Exam status: ActiveMaintained by Google Cloud
Exam registration
Register for the exam through Google Cloud, Google Cloud’s authorized testing partner.
Schedule your examVisit the official Google Cloud certification page for exam policies and requirements.
View the official pageYour coach
And when you are serious, your coach Pip takes over
Your coach in the app reads what you have answered with the book closed and tells you one thing to do tonight. It will not count an answer you gave with the page open, and it will tell you when you are not ready.
See how the coach worksBefore you book
Questions people ask
How does the Professional Data Engineer exam relate to the Associate Cloud Engineer certification?
The Associate Cloud Engineer certification is a lower-level credential that validates fundamental cloud skills. While it is not a prerequisite, it can be a stepping stone to the Professional Data Engineer certification, which requires more in-depth experience with data systems.
Is there a hands-on or lab component in the Professional Data Engineer exam?
The exam is primarily multiple-choice and multiple-select. However, Google Cloud offers hands-on labs in its recommended learning paths to help you gain practical experience, but these are not part of the exam itself.
What is the retake policy if I fail the exam?
You can retake the exam after a waiting period. The first retake is allowed after 14 days, and subsequent attempts require a 60-day wait. There is no limit on the number of attempts, but each attempt requires a full exam fee.
Can I renew my Professional Data Engineer certification by passing a different Google Cloud exam?
Yes, you can renew by passing the Professional Data Engineer renewal exam or by completing designated continuing education courses on Google Skills. Passing a higher-level exam, such as Professional Machine Learning Engineer, may also count toward renewal, but you should check the specific renewal requirements.
What job roles does the Professional Data Engineer certification map to?
This certification is designed for data engineers, data architects, and analytics professionals who design, build, and manage data processing systems on Google Cloud. It validates skills needed for roles such as Data Engineer, Data Architect, and Big Data Specialist.
Are there any regional restrictions for taking the exam?
The exam is available globally, both online and at test centers. However, availability may vary by region, and some countries may have specific delivery options. Check the Google Cloud certification page for the latest information.
Information freshness · Content last reviewed on 2026-07-30 Up to date
Practice free questions 457 questions, free, no account needed.
The curriculum
The whole exam, mapped and written
Every domain, every objective, and every concept Google Cloud measures — each one written out.
5domains
19objectives
141concepts
99free pages
The domains, and what sits inside them
Every objective below is a page you can open and practise now, without an account.
The official Google Cloud exam outline · checked 30 July 2026 · See the source
1Designing data processing systems123 questions
2Ingesting and processing the data85 questions
3Storing the data91 questions
4Preparing and using data for analysis60 questions
5Maintaining and automating data workloads98 questions
5.1 Optimizing resources5 concepts · 3 pagesOpen →5.2 Designing automation and repeatability4 concepts · 3 pagesOpen →5.3 Organizing workloads based on business requirements6 concepts · 4 pagesOpen →5.4 Monitoring and troubleshooting processes9 concepts · 7 pagesOpen →5.5 Maintaining awareness of failures and mitigating impact8 concepts · 5 pagesOpen →
Not a table of contents
Every line on this map already opens
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
1.1 Designing for security and compliance6 pagesOpen →
Free in front of it
28 questions on this objective, five to a page. Every range above is a real page, open now, with no account.
Reading the map is not the same as knowing the ground
The curriculum tells you what is on the exam. Proving you know it is a different job — and it is the one the closed-book run does.
Free questions
457 questions. No account, no card.
The whole bank is open. 5 questions to a page, every answer explained, and a discussion thread on each one.
457questions
99pages
19objectives
Freealways
Browse by domain
Every objective, and every page range, is a link — so you can pick up exactly where you left off.
1Designing data processing systems123 questions
2Ingesting and processing the data85 questions
3Storing the data91 questions
4Preparing and using data for analysis60 questions
5Maintaining and automating data workloads98 questions
What a practice page gives you
1Five to a page
Short enough to finish, long enough to matter.
2Every answer explained
Not only which one is right — why the others are wrong.
3A discussion on each
Ask, answer, and vote. Every question has its own thread.
A question, and the idea behind it
Every question comes from a concept
These are not trivia. Each one is written against a concept in the book, so when you get one wrong there is somewhere to go and find out why.
The visual book
See it once. Carry it into the exam.
The pages shown here come from our AI-900 book — an example of how each concept is written in plain language and, where the idea needs one, drawn as a full page you can take in at a glance.
141concepts
457free questions
Why a picture, and not another paragraph
Three reasons, and each one is a real finding rather than a slogan.
You can see it againThe whole idea at onceWhere it starts, what happens in the middle, what comes out, and the mistake to avoid.
Multimedia principle · MayerThe look-alikes sit togetherThe pairs the exam tests are drawn side by side, so the difference is seen, not told.
Dual coding · PaivioWhat one page is made of
You are never asked to read a poster here — only to see how one is built. After that, every other page is legible at a glance.
1A numbered strip on top
The idea as a sequence, followed with a finger before a word is read.
2Panels for the parts
What it is, how the machine learns it, when it is the right tool.
3The trap, framed
The distinction the exam tests, given its own box instead of buried in prose.
4One line at the bottom
The sentence to carry into the exam room.
Open book, on purpose
Answer it with the picture beside you
This is the part that teaches. The illustration and the written explanation stay where they are while you work, so a scenario stops being a memory test and becomes something you can simply look at.
It teaches · it does not count
A smartphone uses AI to unlock when the owner looks at the camera. Which AI capability is being used?
AImage classification
BFacial recognition
COptical character recognition
DObject detection
Look at the five steps. Detect finds a face, align straightens it, encode turns it into numbers, search compares it with a stored face, and decide answers one question: is this the same person? Classification would only say “a face”. Detection would only draw a box. Neither decides whose.
Then the page shuts, and it starts counting
The same questions come back with the book closed — that run is the one that counts. After it, your coach picks one thing for tonight, sized to the time you have, and brings pages back before you lose them.
Testing effect · Roediger & Karpicke 2006 · spacing effect · Cepeda et al. 2006
Official resources
Straight from Google Cloud
Where the exam is defined, scheduled and scored.
3official links
141concepts mapped
The source
Google Cloud’s own pages
We link to them rather than repeat them, so nothing here goes stale behind them.
Checked against the source
Every objective on the official Google Cloud outline already has questions here
We build from the official skills outline, not from a summary of it — 19 objectives, 141 concepts written under them, and free questions against every one. When Google Cloud changes the outline, this page changes with it.
19objectives on the outline→141concepts written→457free questions
An official page tells you what will be asked. It cannot tell you what you will get right.
That is the only question worth answering the night before, and no link answers it. You answer it by taking the questions with the book closed, and seeing what comes back.