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

Categorical transformation

Topic in 1 exam domain

X LinkedIn Facebook Reddit

Also called: categorical

A data transformation where a feature represents nominal category values without intrinsic order.

Where this appears on the exam

1 subdomain 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 data for feature engineering, training and serving machine learning models (e.g., BigQueryML)

How learners score on this topic

Last updated October 21, 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

Categorical transformation

Topic in 1 exam domain

X LinkedIn Facebook Reddit

Also called: categorical

A data transformation where a feature represents nominal category values without intrinsic order.

Where this appears on the exam

1 subdomain 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 data for feature engineering, training and serving machine learning models (e.g., BigQueryML)

How learners score on this topic

Last updated October 21, 2026