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

column policies

Topic in 2 exam domains

Also called: column access policies, data catalog column policies

Policies applied to table columns to enforce fine-grained access control and prevent sensitive content from unauthorized viewing.

Where this appears on the exam

2 objectives in 2 of 5 domains

Domain 1
Designing data processing systems
~22% of exam
1. 1.1Designing for security and compliance
  - Designing the project, dataset, and table architecture to ensure proper data governance
Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.3Sharing data
  - BigQuery sharing (Analytics Hub)

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

column policies

Topic in 2 exam domains

Also called: column access policies, data catalog column policies

Policies applied to table columns to enforce fine-grained access control and prevent sensitive content from unauthorized viewing.

Where this appears on the exam

2 objectives in 2 of 5 domains

Domain 1
Designing data processing systems
~22% of exam
1. 1.1Designing for security and compliance
  - Designing the project, dataset, and table architecture to ensure proper data governance
Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.3Sharing data
  - BigQuery sharing (Analytics Hub)

How learners score on this topic

Last updated October 15, 2026