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

capacity commitments

Topic in 1 exam domain

Committed capacity of slots in BigQuery that can be purchased for reservations.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 5
Maintaining and automating data workloads
~18% of exam
1. 5.3Organizing workloads based on business requirements

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

capacity commitments

Topic in 1 exam domain

Committed capacity of slots in BigQuery that can be purchased for reservations.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 5
Maintaining and automating data workloads
~18% of exam
1. 5.3Organizing workloads based on business requirements

How learners score on this topic

Last updated October 15, 2026

Where this appears on the exam

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How learners score on this topic

Where this appears on the exam

Related topics

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How learners score on this topic