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

parameters

Topic in 1 exam domain

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parameters · Feature
parameters · Concept
Parameters · Concept

Also called: Playbook parameters

Features that allow personalizing Data Studio reports based on user input.

Where this appears on the exam

1 subdomain in 1 of 6 domains

Domain 4
Serving and scaling models
~20% of exam
1. 4.1Serving models
  - Implementing model rollout strategies (e.g., A/B testing and canary deployments) to compare model versions

How learners score on this topic

Last updated November 2, 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

parameters

Topic in 1 exam domain

X LinkedIn Facebook Reddit

parameters · Feature
parameters · Concept
Parameters · Concept

Also called: Playbook parameters

Features that allow personalizing Data Studio reports based on user input.

Where this appears on the exam

1 subdomain in 1 of 6 domains

Domain 4
Serving and scaling models
~20% of exam
1. 4.1Serving models
  - Implementing model rollout strategies (e.g., A/B testing and canary deployments) to compare model versions

How learners score on this topic

Last updated November 2, 2026

Where this appears on the exam

Related topics

How learners score on this topic

Where this appears on the exam

Related topics

How learners score on this topic