You have an Azure Machine Learning workspace containing an AmlCompute cluster and a batch endpoint. You clone a repository with an MLflow model to your local computer.

You need to deploy the model to the batch endpoint.

Proposed solution: Create a datastore in the workspace.

Does this solution meet the goal?