Google Cloud Professional Data Engineer certification — Requirements & Free Practice

US · License preparation

200 free questions · Answer explanations · No signup required

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Start with an exam below. Your examination requirements depend on your application pathway. View licensing requirements

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Licenses, application pathways and examination requirements

Each license and applicant pathway has its own requirements and exemptions. Choosing practice questions does not determine your eligibility.

Google Cloud professional certification for data engineers; initial certification requires the standard exam.

Licensing authority: Google Cloud

Initial by examination

Examination outline

Designing data processing systems (22%)
- Designing for security and compliance
- Designing for reliability and fidelity
- Designing for flexibility and portability
- Designing data migrations
Ingesting and processing the data (25%)
- Planning the data pipelines
- Building the pipelines
- Deploying and operationalizing the pipelines
Storing the data (20%)
- Selecting storage systems
- Planning for using a data warehouse
- Using a data lake
- Designing for a data platform
Preparing and using data for analysis (15%)
- Preparing data for visualization
- Preparing data for AI and ML
- Sharing data
Maintaining and automating data workloads (18%)
- Optimizing resources
- Designing automation and repeatability
- Organizing workloads based on business requirements
- Monitoring and troubleshooting processes
- Maintaining awareness of failures and mitigating impact

Examination sources