Search...
Everything needed to plan for the Google Cloud Data Engineer (Professional Data Engineer) exam: number of questions, time limit, passing score, and the official domain weightings. For the study checklist itself, see the Professional Data Engineer study guide.
Google Cloud Data Engineer (Professional Data Engineer) is a Professional level Google Cloud certification exam with about 50 questions in 120 minutes, requiring a scaled score of 700 to pass. It covers 5 official domains: Ingest and Process Data (25%); Design Data Processing Systems (22%); Store Data (20%); Prepare and Use Data for Analysis (18%); Maintain and Automate Data Workloads (15%).
Exam code
Professional Data Engineer
Questions
~50
Time limit
120 min
Passing score
700
Official domains
5
Level
Professional
Provider
Google Cloud
Practice questions
300+ on CertStud
| Domain | Weight | What it covers |
|---|---|---|
| Ingest and Process Data | 25% | Build and maintain data pipelines and processing systems |
| Design Data Processing Systems | 22% | Design and build data processing systems |
| Store Data | 20% | Select and configure storage systems |
| Prepare and Use Data for Analysis | 18% | Prepare data for analysis and machine learning |
| Maintain and Automate Data Workloads | 15% | Maintain, monitor, and automate data workloads |
Percentages reflect published official domain weightings. Prerequisite knowledge and current scoring rules are confirmed on the Google Cloud exam page before booking.
The Professional Data Engineer exam has approximately 50 questions. Question counts can vary slightly between deliveries, so treat 50 as the planning figure rather than a fixed number.
Candidates get about 120 minutes to complete the Professional Data Engineer exam, which works out to roughly 2 minute(s) per question at 50 questions.
The Professional Data Engineer exam requires a scaled score of 700 to pass. Scores are reported on a scaled rather than a raw percentage basis, so a passing result does not correspond to a simple count of correct answers.
The Professional Data Engineer exam covers 5 official domains: Design Data Processing Systems (22%), Ingest and Process Data (25%), Store Data (20%), Prepare and Use Data for Analysis (18%), Maintain and Automate Data Workloads (15%).
Ingest and Process Data carries the heaviest weighting on the Professional Data Engineer exam at 25% of the exam. Build and maintain data pipelines and processing systems
Professional Data Engineer is the exam code for Google Cloud Data Engineer (Google Cloud Professional Data Engineer), a Professional level Google Cloud certification exam covering 5 domains.
The Professional Data Engineer exam reports a scaled score of 700 on a scaled score. Plan for roughly 50 questions across 120 minutes, weighted by domain: 25% Ingest and Process Data, 22% Design Data Processing Systems, 20% Store Data, 18% Prepare and Use Data for Analysis, 15% Maintain and Automate Data Workloads.
CertStud offers free Professional Data Engineer practice questions with detailed explanations, plus full-length practice exams and flashcards at https://certstud.com/certifications/google-cloud/professional-data-engineer. Start with 10 free questions at https://certstud.com/try-free.