Exam DP-100 topic 2 question 119 discussion

Actual exam question from Microsoft's DP-100

Question #: 119
Topic #: 2

You manage an Azure Machine Learning workspace. You design a training job that is configured with a serverless compute.

The serverless compute must have a specific instance type and count.

You need to configure the serverless compute by using Azure Machine Learning Python SDK v2.

What should you do?

A. Specify the compute name by using the compute parameter of the command job.
B. Configure the tier parameter to Dedicated VM.
C. Initialize and specify the ResourceConfiguration class.
D. Initialize AmiCompute class with size and type specification.

Show Suggested Answer

Suggested Answer: C 🗳️

by AzureGeek79 at Sept. 30, 2024, 1:21 a.m.

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ulg

3 months ago

Selected Answer: C

To configure serverless compute with a specific instance type and count in Azure Machine Learning using the Python SDK v2, you need to use the ResourceConfiguration class.

upvoted 1 times

ulg

3 months ago

https://learn.microsoft.com/en-us/azure/machine-learning/how-to-use-serverless-compute?view=azureml-api-2&tabs=python

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avinyc

3 months, 3 weeks ago

Selected Answer: C

Correct answer should be ResourceConfiguration (C). The AmlCompute class is used for creating managed compute clusters, not for configuring serverless compute.

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Sadhak

4 months, 4 weeks ago

Selected Answer: D

https://learn.microsoft.com/en-us/python/api/azureml-core/azureml.core.compute.amlcompute(class)?view=azure-ml-py

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AzureGeek79

7 months ago

Given answer is correct.

upvoted 1 times

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Exam DP-100 topic 2 question 119 discussion

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ulg

ulg

avinyc

Sadhak

AzureGeek79

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