GOOGLE CLOUD

Google Cloud Professional Data Engineer

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.

Practice Free Questions

5Domains

19Objectives

99Practice pages

457Free questions

PROFESSIONAL-DATA-ENGINEER free practice questions

Choose any objective and open any question page — no sign-in required.

1.1 Designing for security and compliance

28 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–28

1.2 Designing for reliability and fidelity

27 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–27

1.3 Designing for flexibility and portability

30 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30

1.4 Designing data migrations

38 questions · 8 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–38

2.1 Planning the data pipelines

19 questions · 4 pages

Questions 1–5 6–10 11–15 16–19

2.2 Building the pipelines

38 questions · 8 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–38

2.3 Deploying and operationalizing the pipelines

28 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–28

3.1 Selecting storage systems

35 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35

3.2 Planning for using a data warehouse

17 questions · 4 pages

Questions 1–5 6–10 11–15 16–17

3.3 Using a data lake

16 questions · 4 pages

Questions 1–5 6–10 11–15 16–16

3.4 Designing for a data platform

23 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–23

4.1 Preparing data for visualization

24 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–24

4.2 Preparing data for AI and ML

23 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–23

5.1 Optimizing resources

11 questions · 3 pages

Questions 1–5 6–10 11–11

5.2 Designing automation and repeatability

14 questions · 3 pages

Questions 1–5 6–10 11–14

5.3 Organizing workloads based on business requirements

17 questions · 4 pages

Questions 1–5 6–10 11–15 16–17

5.4 Monitoring and troubleshooting processes

31 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–31

5.5 Maintaining awareness of failures and mitigating impact

25 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–25

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Percentages reflect share of the current practice bank, not official exam weightings. Every page above is a live, crawlable practice page (19 objectives · 99 pages).

Google Cloud Professional Data Engineer

PROFESSIONAL-DATA-ENGINEER free practice questions

Domain 1 · Designing data processing systems27% of practice bank · 4 objectives · 123 questions27%

Domain 2 · Ingesting and processing the data19% of practice bank · 3 objectives · 85 questions19%

Domain 3 · Storing the data20% of practice bank · 4 objectives · 91 questions20%

Domain 4 · Preparing and using data for analysis13% of practice bank · 3 objectives · 60 questions13%

Domain 5 · Maintaining and automating data workloads21% of practice bank · 5 objectives · 98 questions21%