Google Cloud Professional Data Engineer standard exam — Information & Free Practice

US · Examination information

200 free questions · Answer explanations · No signup required

Google Cloud Professional Data Engineer standard exam

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

This examination may be required or accepted as an alternative, depending on the license and application pathway.