Professional Machine Learning Engineer

Build, deploy, and monitor production ML and generative AI solutions on Gemini Enterprise Agent Platform, and track your readiness for the Professional Machine Learning Engineer exam.

Expert

Prepare and test your skills

Expert

Prepare and test your skills

Concept

One-hot encoding

Topic in 1 exam domain

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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 6 domains

Domain 1
Architecting low-code AI solutions
~13% of exam
1. 1.1Developing ML models using BigQuery ML or AutoML on Gemini Enterprise Agent Platform
  - Performing feature engineering or selection using BigQuery ML

How learners score on this topic

Last updated October 16, 2026

Professional Machine Learning Engineer

Build, deploy, and monitor production ML and generative AI solutions on Gemini Enterprise Agent Platform, and track your readiness for the Professional Machine Learning Engineer exam.

Expert

Prepare and test your skills

Expert

Prepare and test your skills

Concept

One-hot encoding

Topic in 1 exam domain

X LinkedIn Facebook Reddit

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 6 domains

Domain 1
Architecting low-code AI solutions
~13% of exam
1. 1.1Developing ML models using BigQuery ML or AutoML on Gemini Enterprise Agent Platform
  - Performing feature engineering or selection using BigQuery ML

How learners score on this topic

Last updated October 16, 2026