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

Orchestration

Topic in 4 exam domains

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A practice that helps coordinate complex processes.

Where this appears on the exam

4 subdomains in 2 of 5 domains

Domain 2
Ingesting and processing the data
~25% of exam
1. 2.1Planning the data pipelines
  - Defining data transformation and orchestration logic
2. 2.2Building the pipelines
  - Batch
Domain 5
Maintaining and automating data workloads
~18% of exam
1. 5.1Optimizing resources
  - Deciding between persistent or job-based data clusters (e.g., Dataproc)
2. 5.3Organizing workloads based on business requirements
  - Interactive or batch query jobs

How learners score on this topic

Last updated October 22, 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

Orchestration

Topic in 4 exam domains

X LinkedIn Facebook Reddit

A practice that helps coordinate complex processes.

Where this appears on the exam

4 subdomains in 2 of 5 domains

Domain 2
Ingesting and processing the data
~25% of exam
1. 2.1Planning the data pipelines
  - Defining data transformation and orchestration logic
2. 2.2Building the pipelines
  - Batch
Domain 5
Maintaining and automating data workloads
~18% of exam
1. 5.1Optimizing resources
  - Deciding between persistent or job-based data clusters (e.g., Dataproc)
2. 5.3Organizing workloads based on business requirements
  - Interactive or batch query jobs

How learners score on this topic

Last updated October 22, 2026