Exam DP-100 topic 4 question 8 discussion

Actual exam question from Microsoft's DP-100

Question #: 8
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?

A. Azure Container Instance (ACI)
B. attached Azure Databricks cluster
C. Azure Kubernetes Service (AKS) inference cluster
D. Azure Machine Learning compute cluster

Show Suggested Answer

Suggested Answer: A 🗳️
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

by ralucabala at April 21, 2021, 2:46 p.m.

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ljljljlj

Highly Voted 2 years, 10 months ago

On exam 2021/7/10

upvoted 7 times

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james2033

Most Recent 6 months, 4 weeks ago

Selected Answer: A

'minimizing cost' --> use Azure Container Instance (ACI), not Azure Kubernetes Service (AKS). 'minimizing administrative overhead' --> use Docker/container, not Azure App Service. Conclusion: Azure Container Instance (ACI).

upvoted 1 times

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michaelmorar

1 year, 4 months ago

Selected Answer: A

https://learn.microsoft.com/en-us/azure/machine-learning/v1/how-to-deploy-azure-container-instance "ACI is suitable only for small models that are under 1 GB in size. We recommend using single-node AKS to dev-test larger models."

upvoted 1 times

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