Which compute target should you use?

You train a machine learning model.

You must deploy the model as a real-time inference service for testing. The service requires low CPU utilization and less than 48 MB of RAM. The compute target for the deployed service must initialize automatically while minimizing cost and administrative overhead.

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

Answer: C

Explanation:

Azure Container Instances (ACI) are suitable only for small models less than 1 GB in size.

Use it for low-scale CPU-based workloads that require less than 48 GB of RAM.

Note: Microsoft recommends using single-node Azure Kubernetes Service (AKS) clusters for dev-test of larger models.

Reference: https://docs.microsoft.com/id-id/azure/machine-learning/how-to-deploy-and-where