Microsoft Exam DP-100 Topic 1 Question 31 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 31
Topic #: 1

An organization creates and deploys a multi-class image classification deep learning model that uses a set of labeled photographs.

The software engineering team reports there is a heavy inferencing load for the prediction web services during the summer. The production web service for the model fails to meet demand despite having a fully-utilized compute cluster where the web service is deployed.

You need to improve performance of the image classification web service with minimal downtime and minimal administrative effort.

What should you advise the IT Operations team to do?

AIncrease the minimum node count of the compute cluster where the web service is deployed.

BCreate a new compute cluster by using larger VM sizes for the nodes, redeploy the web service to that cluster, and update the DNS registration for the service endpoint to point to the new cluster.

CIncrease the VM size of nodes in the compute cluster where the web service is deployed.

DIncrease the node count of the compute cluster where the web service is deployed.

Show Suggested Answer

Suggested Answer: D

The Azure Machine Learning SDK does not provide support scaling an AKS cluster. To scale the nodes in the cluster, use the UI for your AKS cluster in the Azure Machine Learning studio. You can only change the node count, not the VM size of the cluster.

https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-kubernetes

by Helga at May 05, 2022, 10:44 PM

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Cassi

2 days ago

Hmm, I'm not sure about this one. The image doesn't give a lot of context, so I'll have to think it through carefully.

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Harrison

5 days ago

Okay, let me think this through. The question mentions that the model was published as a real-time service on an AKS inference compute cluster, so I'm guessing the name of the AKS cluster and the name of the inference pipeline would also be important details to share.

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