Exam DP-100 topic 4 question 12 discussion

Actual exam question from Microsoft's DP-100

Question #: 12
Topic #: 4

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?

A. Create 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.
B. Increase the node count of the compute cluster where the web service is deployed.
C. Increase the minimum node count of the compute cluster where the web service is deployed.
D. Increase the VM size of nodes in the compute cluster where the web service is deployed.

Show Suggested Answer

Suggested Answer: B 🗳️

by santoshpandit at June 23, 2021, 1 a.m.

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santoshpandit

Highly Voted 3 years, 5 months ago

looks correct

upvoted 10 times

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evangelist

Most Recent 6 months, 1 week ago

Selected Answer: B

anything that touches VM specs caused downtime, only increasing node count does not cause downtime. B is correct

upvoted 1 times

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james2033

1 year, 2 months ago

Selected Answer: C

'Increase the minimum node count of the compute cluster' . I choose C.

upvoted 1 times

ahmednani015

6 months, 3 weeks ago

The answer is incorrect because the heavy inferencing occurs only during the summer. The problem remains since we haven't upgraded the cluster's capabilities, leading to higher costs outside of summer due to always active nodes, even with no inferencing requests.

upvoted 1 times

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