Professional Data Engineer

Build and operate the data processing systems behind analytics and ML on Google Cloud, including BigQuery, Dataflow, and Pub/Sub, and track your readiness for the Professional Data Engineer exam.

Advanced

Prepare and test your skills

Advanced

Prepare and test your skills

Google Cloud feature

FlexRS

Topic in 1 exam domain

A Dataflow execution mode where data processing can take up to six hours to begin after job submission.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 5
Maintaining and automating data workloads
~18% of exam
1. 5.1Optimizing resources
  - Deciding between persistent or job-based data clusters (e.g., Dataproc)

How learners score on this topic

Last updated October 15, 2026

Professional Data Engineer

Build and operate the data processing systems behind analytics and ML on Google Cloud, including BigQuery, Dataflow, and Pub/Sub, and track your readiness for the Professional Data Engineer exam.

Advanced

Prepare and test your skills

Advanced

Prepare and test your skills

Google Cloud feature

FlexRS

Topic in 1 exam domain

A Dataflow execution mode where data processing can take up to six hours to begin after job submission.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 5
Maintaining and automating data workloads
~18% of exam
1. 5.1Optimizing resources
  - Deciding between persistent or job-based data clusters (e.g., Dataproc)

How learners score on this topic

Last updated October 15, 2026

Where this appears on the exam

Related topics

Part of

Depends on

How learners score on this topic

Where this appears on the exam

Related topics

Part of

Depends on

How learners score on this topic