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

embeddings

Topic in 1 exam domain

Vector representations of queries and documents that capture underlying meaning and relationships for semantic search, RAG, and recommendations.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.2Preparing data for AI and ML
  - Preparing unstructured data for embeddings and retrieval-augmented generation (RAG)

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

embeddings

Topic in 1 exam domain

Vector representations of queries and documents that capture underlying meaning and relationships for semantic search, RAG, and recommendations.

Where this appears on the exam

1 objective in 1 of 5 domains

Domain 4
Preparing and using data for analysis
~15% of exam
1. 4.2Preparing data for AI and ML
  - Preparing unstructured data for embeddings and retrieval-augmented generation (RAG)

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