Microsoft DP-100 Exam - 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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Dante

5 months ago

Wait, isn't it B? I thought OnlineDeploymentOperations was needed first.

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Allene

5 months ago

Totally agree, A is the right move!

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Nickolas

5 months ago

D seems unnecessary, just use the SDK!

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Adelina

6 months ago

I think C is a bit overkill for just checking logs.

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Carin

6 months ago

Gotta go with A, MLCIient is key for Azure ML.

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Lenna

6 months ago

Docker tools could be useful, but I feel like we need to set up the SDK properly first before doing anything else.

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Pearline

6 months ago

Connecting via SSH sounds familiar, but I can't recall if that's necessary for just reviewing logs.

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Teresita

7 months ago

I remember practicing a similar question where we had to interact with online deployments, and I think the OnlineDeploymentOperations class was involved.

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Janine

7 months ago

I think we might need to create an instance of the MLCIient class first, but I'm not entirely sure if that's the right approach for accessing logs.

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Georgene

7 months ago

This seems straightforward enough. Since the question specifically mentions the Azure ML Python SDK v2, I think the best approach is to create an instance of the OnlineDeploymentOperations class to interact with the deployed model and access the container logs. I'll focus on that in my answer.

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Ezekiel

7 months ago

I'm a bit confused on this one. The question mentions using the Azure ML Python SDK v2, but it's not clear to me if we need to use SSH or Docker tools to connect to the inference server. I'll need to review the SDK documentation to figure out the right approach.

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Ben

7 months ago

Okay, let's think this through step-by-step. The question says we need to review the container logs, which means we'll need to connect to the inference server somehow. I'm not sure if creating an MLClient or an OnlineDeploymentOperations instance is the right first step, but those seem like good options to explore.

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Theron

7 months ago

Hmm, this looks like it's asking about how to access the logs for an Azure ML model deployed to an online endpoint. I think the key is to use the Azure ML Python SDK v2, so I'll need to create an instance of the right class to interact with the endpoint.

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Tuyet

10 months ago

Definitely B. The question states we need to review the container logs, and the OnlineDeploymentOperations class is the way to go for that. I mean, what else would we use, a divining rod?

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Ilene

9 months ago

I agree, using the OnlineDeploymentOperations class is the right choice to review the container logs.

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Ilene

9 months ago

B) Create an instance of the OnlineDeploymentOperations class.

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Linwood

11 months 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

11 months 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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Laila

10 months ago

C) Connect by using SSH to the inference server.

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Diego

10 months ago

B) Create an instance of the OnlineDeploymentOperations class.

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Reita

10 months ago

A) Create an instance of the MLCIient class.

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Chantell

11 months 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

11 months 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

11 months 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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