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

On-demand inspection

Topic in 1 exam domain

A deep inspection mechanism on a single BigQuery table or column subset down to the cell level to locate specific sensitive data types.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.1Preparing data for visualization
  - Security, data masking, Identity and Access Management (IAM), and Cloud Data Loss Prevention (Cloud DLP)

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

On-demand inspection

Topic in 1 exam domain

A deep inspection mechanism on a single BigQuery table or column subset down to the cell level to locate specific sensitive data types.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.1Preparing data for visualization
  - Security, data masking, Identity and Access Management (IAM), and Cloud Data Loss Prevention (Cloud DLP)

How learners score on this topic

Last updated October 15, 2026

Where this appears on the exam

Related topics

How learners score on this topic

Where this appears on the exam

Related topics

How learners score on this topic