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

workflow invocation

Topic in 2 exam domains

An execution run of a Dataform compilation result.

Where this appears on the exam

2 objectives in 2 of 5 domains

Domain 2
Ingesting and processing the data
~25% of exam
1. 2.3Deploying and operationalizing the pipelines
  - Job automation and orchestration (e.g., Cloud Composer and Workflows)
Domain 5
Maintaining and automating data workloads
~18% of exam
1. 5.2Designing automation and repeatability

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

workflow invocation

Topic in 2 exam domains

An execution run of a Dataform compilation result.

Where this appears on the exam

2 objectives in 2 of 5 domains

Domain 2
Ingesting and processing the data
~25% of exam
1. 2.3Deploying and operationalizing the pipelines
  - Job automation and orchestration (e.g., Cloud Composer and Workflows)
Domain 5
Maintaining and automating data workloads
~18% of exam
1. 5.2Designing automation and repeatability

How learners score on this topic

Last updated October 15, 2026

Where this appears on the exam

Related topics

Depends on

How learners score on this topic

Where this appears on the exam

Related topics

Depends on

How learners score on this topic