Designing and Implementing a Data Science Solution on Azure — Question 73

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.

Answer options

Correct answer: B, E

Explanation

The correct components for setting up a batch deployment in Azure Machine Learning are Model files (B) and Compute target (E). Model files are essential as they contain the trained model that needs to be deployed, while the Compute target is required to specify the resources that will run the batch inference. The other options, such as Environment, Online endpoint, and Kubernetes online endpoint, are relevant for different types of deployments and not specifically for batch inference.