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You create an MLflow model. You must deploy the model to Azure Machine Learning for batch inference. You need to create the batch deployment. Which two components should you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
Correct Answer: B,E
MLflow models don't require you to indicate an environment or a scoring script when creating the deployments as it is created for you. However, you can specify them if you want to customize how the deployment does inference. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-mlflow-batch?tabs=cli