Exam objectives
PDEProfessional Data Engineer exam objectives
The published blueprint is the contract: the exam can only test what is on this list. Domains carry their official weightings, and objectives with a practice page link straight to questions written for that objective.
Titles and weightings from the official objectives. Google Cloud exam page ↗
Designing data processing systems
22%of exam- 1.1 Designing for security and compliancePractice
- 1.2 Designing for reliability and fidelityPractice
1.3 Designing for flexibility and portability
- 1.4 Designing data migrationsPractice
Ingesting and processing the data
25%of examStoring the data
20%of exam- 3.1 Selecting storage systemsPractice
- 3.2 Planning for using a data warehousePractice
- 3.3 Using a data lakePractice
3.4 Designing for a data platform
Preparing and using data for analysis
15%of exam- 4.1 Preparing data for visualizationPractice
4.2 Preparing data for AI and ML
- 4.3 Sharing dataPractice
Maintaining and automating data workloads
18%of exam- 5.1 Optimizing resourcesPractice
5.2 Designing automation and repeatability
5.3 Organizing workloads based on business requirements
- 5.4 Monitoring and troubleshooting processesPractice
5.5 Maintaining awareness of failures and mitigating impact
Objectives marked Practice open a page of original questions written for that objective, each with a full explanation cited to Google Cloud documentation.
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