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

Concept

partitioned without cross-database dependency

Topic in 1 exam domain

A database deployment pattern where each location or cloud maintains separate, partitioned datasets stored in distinct databases with no cross-database replication or dependency.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 3
Storing the data
~20% of exam
1. 3.4Designing for a data platform
  - Building a federated governance model for distributed data systems

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

Concept

partitioned without cross-database dependency

Topic in 1 exam domain

A database deployment pattern where each location or cloud maintains separate, partitioned datasets stored in distinct databases with no cross-database replication or dependency.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 3
Storing the data
~20% of exam
1. 3.4Designing for a data platform
  - Building a federated governance model for distributed data systems

How learners score on this topic

Last updated October 15, 2026