You create an Azure Machine Learning workspace. You train an MLflow-formatted regression model by using tabular structured data. You must use a Responsible AI dashboard to assess the model. You need…

Question

Options

• AConvert the model from the MLflow format to a custom format.
• BRegister the model with the workspace.
• CCreate the model explanations.
• DDeploy the model to a managed online endpoint.

• A
  3% (1)
• B
  86% (25)
• C
  3% (1)
• D
  7% (2)

Explanation

The first required step before generating a Responsible AI dashboard in Azure ML studio is to register the model with the workspace. The Responsible AI dashboard wizard in the studio UI works exclusively with registered models-it requires selecting a registered model as its input. You cannot create a RAI dashboard for an unregistered model directly from a training run. Converting the model format (A) is unnecessary since MLflow models are natively supported. Creating explanations (C) and deploying to an endpoint (D) are not prerequisites for generating the dashboard.

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