Expert Answers to Microsoft Exam AI-300 Questions

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Microsoft Certified: Machine Learning Operations (MLOps) Engineer Operationalizing Machine Learning and Generative AI Solutions

Operationalizing Machine Learning and Generative AI Solutions

Last Update Oct 29, 2026
Total Questions : 187

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Questions 2

You create an Azure Machine Learning workspace.

You must configure an event-driven workflow to automatically trigger upon completion of training runs in the workspace. The solution must minimize the administrative effort to configure the trigger.

You need to configure an Azure service to automatically trigger the workflow.

Which Azure service should you use?

Options:

Event Grid subscription

Azure Automation runbook

Event Hubs Capture

Event Hubs consumer

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Questions 3

A team is deploying machine learning models to a production inference endpoint in Azure Machine Learning.

The team requires a safe way to validate a new model version without disrupting existing users.

You need to recommend a deployment strategy for controlled testing of a new model version.

What should you configure?

Options:

traffic splitting between deployments

the model asset version in the registry

deployment to a separate staging endpoint

an evaluation script in Azure Machine Learning

Discussion 0

Questions 4

You manage an Azure Machine Learning workspace named Workspace1.

You plan to create a pipeline in the Azure Machine Learning Studio designer. The pipeline must include a custom component You need to ensure the custom component can be used in the pipeline. What should you do first.

Options:

Add a linked service to Workspace1.

Create a pipeline endpoint.

Upload a json file to Workspace1.

Upload a yaml file to Workspace1.

Create a datastore.

Discussion 0

Questions 5

You manage an Azure Machine Learning workspace. You create an experiment named experiment1 by using the Azure Machine Learning Python SDK v2 and MLflow.

Questions 5