Designing and Implementing a Data Science Solution on Azure — Question 151

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

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You have an Azure Machine Learning workspace that includes an AmlCompute cluster and a batch endpoint.

You clone a repository that contains an MLflow model to your local computer.

You need to ensure that you can deploy the model to the batch endpoint.

Solution: Register the model in the workspace.

Does the solution meet the goal?

Answer options

Correct answer: A

Explanation

The solution of registering the model in the workspace is correct because it is a necessary step to make the model available for deployment to the batch endpoint. Not registering the model would prevent you from being able to deploy it, making option B incorrect.