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

SLO

Topic in 1 exam domain

Also called: Service level objectives, SLOs

Service Level Objectives created on available metrics to monitor the performance and availability of systems and applications.

Where this appears on the exam

1 objective 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

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

SLO

Topic in 1 exam domain

Also called: Service level objectives, SLOs

Service Level Objectives created on available metrics to monitor the performance and availability of systems and applications.

Where this appears on the exam

1 objective 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

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