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

Recovery Point Objective

Topic in 2 exam domains

Recovery Point Objective · Concept
recovery point objective · Concept

Also called: RPO

The maximum permissible duration of data loss in the event of an incident.

Where this appears on the exam

2 objectives in 1 of 5 domains

Domain 1
Designing data processing systems
~22% of exam
1. 1.2Designing for reliability and fidelity
  - Monitoring and orchestration of data pipelines
  - Disaster recovery and fault tolerance

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

Recovery Point Objective

Topic in 2 exam domains

Recovery Point Objective · Concept
recovery point objective · Concept

Also called: RPO

The maximum permissible duration of data loss in the event of an incident.

Where this appears on the exam

2 objectives in 1 of 5 domains

Domain 1
Designing data processing systems
~22% of exam
1. 1.2Designing for reliability and fidelity
  - Monitoring and orchestration of data pipelines
  - Disaster recovery and fault tolerance

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