Microsoft DP-100 Exam - Topic 4 Question 140 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 140
Topic #: 4

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?

AAzure Kubernetes Service (AKS) inference cluster

BAzure Machine Learning compute cluster

CAzure Container Instance (ACI)

Dattached Azure Databricks cluster

Show Suggested Answer

Suggested Answer: B

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.

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

by Erasmo at May 02, 2026, 12:10 PM

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Hyun

5 days ago

I remember practicing a question where AKS was mentioned, but it seems like overkill for low CPU and RAM requirements.

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Colene

10 days ago

I think ACI might be the right choice since it’s designed for low-resource scenarios, but I’m not entirely sure.

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