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

data drift

Topic in 2 exam domains

X LinkedIn Facebook Reddit

Also called: feature drift

A condition occurring when feature data distribution in production changes significantly over time.

Where this appears on the exam

2 objectives in 1 of 6 domains

Domain 6
Monitoring AI solutions
~13% of exam
1. 6.1Identifying risks to AI solutions
  - Aligning with responsible AI practices (e.g., monitoring for bias)
2. 6.2Monitoring, testing, and troubleshooting AI solutions
  - Monitoring for common issues (e.g., training-serving skew, data drift, concept drift, and feature attribution drift)

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

data drift

Topic in 2 exam domains

X LinkedIn Facebook Reddit

Also called: feature drift

A condition occurring when feature data distribution in production changes significantly over time.

Where this appears on the exam

2 objectives in 1 of 6 domains

Domain 6
Monitoring AI solutions
~13% of exam
1. 6.1Identifying risks to AI solutions
  - Aligning with responsible AI practices (e.g., monitoring for bias)
2. 6.2Monitoring, testing, and troubleshooting AI solutions
  - Monitoring for common issues (e.g., training-serving skew, data drift, concept drift, and feature attribution drift)

How learners score on this topic

Last updated October 16, 2026