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

hot key

Topic in 1 exam domain

Also called: hot-keys

A processing key that is overrepresented in the dataset, leading to uneven work distribution across pipeline workers.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 5
Maintaining and automating data workloads
~18% of exam
1. 5.4Monitoring and troubleshooting processes
  - Observability of data processes (e.g., Cloud Monitoring, Cloud Logging, BigQuery admin panel)

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

hot key

Topic in 1 exam domain

Also called: hot-keys

A processing key that is overrepresented in the dataset, leading to uneven work distribution across pipeline workers.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 5
Maintaining and automating data workloads
~18% of exam
1. 5.4Monitoring and troubleshooting processes
  - Observability of data processes (e.g., Cloud Monitoring, Cloud Logging, BigQuery admin panel)

How learners score on this topic

Last updated October 15, 2026