Exam DP-100 topic 3 question 147 discussion

Actual exam question from Microsoft's DP-100

Question #: 147
Topic #: 3

DRAG DROP
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You have an Azure Machine Learning workspace. You are running an experiment on your local computer.

You need to ensure that you can use MLflow Tracking with Azure Machine Learning Python SDK v2 to store metrics and artifacts from your local experiment runs m the workspace.

In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

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Suggested Answer:

by phdykd at July 26, 2023, 2:54 p.m.

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phdykd

Highly Voted 1 year, 3 months ago

D,C,B,A

upvoted 5 times

PI_Team

1 year, 2 months ago

I feel like both should be ok, does it really matter if we get the URL before importing? no it doesnt.. so either way should be ok

upvoted 1 times

Matt2000

9 months ago

Don't you need MLClient before getting access to your workspace? Then only DCBA would be correct.

upvoted 1 times

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sl_mslconsulting

Most Recent 5 months, 1 week ago

I was confused a bit as to why you need to go to Azure portal. It turns out that in the portal on the overview page you can get the MLflow tracking URI. I can't find it in the Machine learning Studio though. The answer provided is correct.

upvoted 3 times

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Gpblax

11 months ago

A,B,C,D Login to workspace Get the tracking URI for your workspace import mlflow set_tracking_uri https://learn.microsoft.com/en-us/azure/machine-learning/how-to-use-mlflow-configure-tracking?view=azureml-api-2&tabs=cli%2Cmlflow

upvoted 2 times

Gpblax

11 months ago

Sorry it is D,B,C,A

upvoted 3 times

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Exam DP-100 topic 3 question 147 discussion

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phdykd

PI_Team

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sl_mslconsulting

Gpblax

Gpblax

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