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DP-100 · Question #414

DP-100 Question #414: Real Exam Question with Answer & Explanation

The correct answer is B: Register the model with the workspace.. Before generating a Responsible AI dashboard in Azure ML studio, the model must be registered in the workspace because the dashboard pipeline requires a registered model as input.

Train and deploy models

Question

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 access the model. You need to use the Azure Machine Learning studio UI to generate the Responsible AI dashboard. What should you do first?

Options

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

Explanation

Before generating a Responsible AI dashboard in Azure ML studio, the model must be registered in the workspace because the dashboard pipeline requires a registered model as input.

Common mistakes.

  • A. Deploying to a managed online endpoint is not required to generate a Responsible AI dashboard; the dashboard operates on the registered model, not a live endpoint.
  • C. Model explanations are one of the outputs generated by the Responsible AI dashboard pipeline, not a prerequisite for creating the dashboard.
  • D. MLflow-formatted models are natively supported by the Responsible AI dashboard and do not need to be converted to a custom format.

Concept tested. Responsible AI dashboard prerequisites in Azure ML

Reference. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-responsible-ai-dashboard

Topics

#Model Registration#Azure Machine Learning Studio#Responsible AI#MLflow

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