Microsoft Exam DP-100 Topic 2 Question 127 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 127
Topic #: 2

You have an Azure Machine Learning (ML) model deployed to an online endpoint.

You need to review container logs from the endpoint by using Azure Ml Python SDK v2. The logs must include the console log from the inference server with print/log statements from the models scoring script.

What should you do first?

ACreate an instance of the the MLCIient class.

BCreate an instance of the OnlineDeploymentOperations class.

CConnect by using SSH to the inference server.

DConnect by using Docker tools to the inference server.

Show Suggested Answer

Suggested Answer: A

by Frederic at Jun 11, 2025, 05:59 AM

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Linwood

5 days ago

Haha, I bet the answer is A. The MLClient class is the main entry point for the SDK, so it's gotta be that one, right? Though I do wonder if the SDK has some hidden tricks up its sleeve.

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Diego

6 days ago

Hmm, I'm not sure. Could it be C or D? I mean, why would we need to SSH or use Docker tools when we have the Azure ML Python SDK v2? That seems like overkill.

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Chantell

7 days ago

I'm not sure, but I think connecting by using SSH to the inference server might also be a valid option to review the logs.

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Lashonda

8 days ago

I agree with Jolanda. Creating an instance of the MLCIient class seems like the right first step to review the container logs.

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Edelmira

10 days ago

I think the answer is B. We need to create an instance of the OnlineDeploymentOperations class to interact with the online endpoint and retrieve the container logs.

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Jolanda

15 days ago

I think the first step is to create an instance of the MLCIient class.

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