Master Microsoft AI-300: Operationalizing ML & Generative AI Solutions

You create a binary classification model. You use the Fairlearn package to assess model fairness.

You must eliminate the need to retrain the model.

You need to implement the Fairlearn package.

Which algorithm should you use?

An Azure Machine Learning workspace contains multiple registered versions of a model that is used in production.

An older model version must no longer be deployable, but it must remain available for compliance review and potential rollback.

You need to change the state of the model version to meet the requirements.

What should you do?

A team develops multiple AI applications in Microsoft Foundry that rely on shared prompt templates.

The team requires a centralized way to track, version, and reuse prompt content across projects.

You need to recommend a solution to track and reuse prompt content.

Which approach should you recommend?

A team deploys a model to a real-time endpoint in Azure Machine Learning. You deploy some updates to the endpoint.

The endpoint returns errors after the new deployment is released.

You need to restore the service as quickly as possible.

What should you do first?

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?