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

BigQuery storage

Topic in 1 exam domain

Storage resource allocation in BigQuery divided into active and long-term storage.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 3
Storing the data
~20% of exam
1. 3.2Planning for using a data warehouse
  - Defining architecture to support data access patterns

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

BigQuery storage

Topic in 1 exam domain

Storage resource allocation in BigQuery divided into active and long-term storage.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 3
Storing the data
~20% of exam
1. 3.2Planning for using a data warehouse
  - Defining architecture to support data access patterns

How learners score on this topic

Last updated October 15, 2026