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Professional Machine Learning Engineer
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Model Monitoring on Gemini Enterprise Agent Platform

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.

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Google Cloud feature

Model Monitoring on Gemini Enterprise Agent Platform

Topic in 11 exam domains

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Also called: Model Monitoring on Agent Platform

A monitoring capability that continuously tracks performance and data drift over time for models via online and batch predictions.

Where this appears on the exam

8 objectives in 5 of 6 domains

Domain 1
Architecting low-code AI solutions
~13% of exam
Domain 2
Collaborating within and across teams to manage data and models
~16% of exam
1. 2.3Tracking and running ML experiments
  - Evaluating predictive and gen AI solutions (e.g., model evaluation metrics and LLM-as-a-judge)
Domain 4
Serving and scaling models
~20% of exam
1. 4.1Serving models
  - Packaging and serving models from different frameworks (e.g., PyTorch and XGBoost) using prebuilt and custom containers
Domain 5
Automating and orchestrating ML pipelines
~18% of exam
1. 5.1Developing end-to-end ML pipelines
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)
  - Model explainability on Agent Platform (e.g., Agent Platform Inference)
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)

Related topics

This topicWorks alongside

Model Monitoring on Gemini Enterprise Agent PlatformFeature

Model RegistryFeature

Points to what builds on itWorks with or alternative toHover or tap a line to see what connects the two

Model Monitoring on Gemini Enterprise Agent Platform works with Model Registry From the official documentation: “To streamline this process, use [Model Monitoring on Gemini Enterprise Agent Platform](/gemini-enterprise-agent-platform/machine-learning/model-monitoring/overview) to directly access the created models in [Model…”

How learners score on this topic

Last updated October 16, 2026

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