Exit AI-300 Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate
Question 4 of 5
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Q4 Multiple choice

A data science team completes multiple training runs within an experiment by using MLflow. The team wants to store a selected model in Azure Machine Learning so that it can be versioned and deployed later.

The model must be versioned centrally for reuse across environments.

You need to version the trained model.

Which two actions should you perform? (Choose two.)

Select all that apply.

  • A

    Locate and capture the model artifacts from the outputs of the training run.

  • B

    Register the model in the Azure Machine Learning workspace.

  • C

    Tag the training experiment with a name.

  • D

    Export the model files to local storage.