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

Google Cloud feature

ML.GENERATE_TEXT function

Topic in 1 exam domain

Also called: ML.GENERATE_TEXT

A SQL function used in BigQuery ML pipelines for text generation, subject to quota and rate limits.

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
  - Preparing and cleaning data (e.g., Dataform, Dataflow, and Cloud Data Fusion, prompting LLMs for query generation)

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

Google Cloud feature

ML.GENERATE_TEXT function

Topic in 1 exam domain

Also called: ML.GENERATE_TEXT

A SQL function used in BigQuery ML pipelines for text generation, subject to quota and rate limits.

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
  - Preparing and cleaning data (e.g., Dataform, Dataflow, and Cloud Data Fusion, prompting LLMs for query generation)

How learners score on this topic

Last updated October 15, 2026