Which compute target should you use?

You train and register a machine learning model. You create a batch inference pipeline that uses the model to generate predictions from multiple data files.

You must publish the batch inference pipeline as a service that can be scheduled to run every night.

You need to select an appropriate compute target for the inference service.

Which compute target should you use?
A . Azure Machine Learning compute instance
B . Azure Machine Learning compute cluster
C . Azure Kubernetes Service (AKS)-based inference cluster
D . Azure Container Instance (ACI) compute target

Answer: B

Explanation:

Azure Machine Learning compute clusters is used for Batch inference. Run batch scoring on serverless compute. Supports normal and low-priority VMs. No support for real-time inference.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/concept-compute-target