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

One-hot encoding

Topic in 1 exam domain

Also called: ONE_HOT_ENCODING

A feature transformation method that maps each distinct category to its own binary feature column using dummy variables.

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

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

One-hot encoding

Topic in 1 exam domain

Also called: ONE_HOT_ENCODING

A feature transformation method that maps each distinct category to its own binary feature column using dummy variables.

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

How learners score on this topic

Last updated October 15, 2026