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Microsoft Updated DP-100 Exam Questions and Answers by coby

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Microsoft DP-100 Exam Overview :

Exam Name: Designing and Implementing a Data Science Solution on Azure
Exam Code: DP-100 Dumps
Vendor: Microsoft Certification: Microsoft Azure
Questions: 525 Q&A's Shared By: coby
Question 40

You manage an Azure Machine Learning workspace named workspace1 with a compute instance named compute1. You connect to compute! by using a terminal window from wofkspace1. You create a file named " requirements.txt " containing Python dependencies to include Jupyler.

You need to add a new Jupyter kernel to compute1.

Which four commands should you use? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Questions 40

Options:

Discussion
Question 41

You manage an Azure AI Foundry project in your subscription. You deploy a gpt-4o model. You must test the model before you use it in an existing front-end application. You need to adjust the parameters to get more creative responses.

Solution: Increase Temperature.

Does the solution meet the goal?

Options:

A.

Yes

B.

No

Discussion
Question 42

You create an Azure Data Lake Storage Gen2 stowage account named storage1 containing a file system named fsi and a folder named folder1.

The contents of folder1 must be accessible from jobs on compute targets in the Azure Machine Learning workspace.

You need to construct a URl to reference folder1.

How should you construct the URI? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Questions 42

Options:

Discussion
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Ilyas
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Cody
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Eric Mar 12, 2026
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Question 43

Questions 43

You need to record the row count as a metric named row_count that can be returned using the get_metrics method of the Run object after the experiment run completes. Which code should you use?

Options:

A.

run.upload_file(‘row_count’, ‘./data.csv’)

B.

run.log(‘row_count’, rows)

C.

run.tag(‘row_count’, rows)

D.

run.log_table(‘row_count’, rows)

E.

run.log_row(‘row_count’, rows)

Discussion
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