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

Google Cloud feature

ML.GLOBAL_EXPLAIN

Topic in 2 exam domains

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A BigQuery ML SQL function that provides global explanations identifying the most important features in a model.

Where this appears on the exam

2 objectives in 2 of 6 domains

Domain 3
Scaling prototypes into ML models
~21% of exam
1. 3.1Building models given the task considering cost, complexity, latency, and scalability
  - Modeling techniques given interpretability requirements
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)

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

Google Cloud feature

ML.GLOBAL_EXPLAIN

Topic in 2 exam domains

X LinkedIn Facebook Reddit

A BigQuery ML SQL function that provides global explanations identifying the most important features in a model.

Where this appears on the exam

2 objectives in 2 of 6 domains

Domain 3
Scaling prototypes into ML models
~21% of exam
1. 3.1Building models given the task considering cost, complexity, latency, and scalability
  - Modeling techniques given interpretability requirements
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)

How learners score on this topic

Last updated October 16, 2026