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Microsoft Azure DP-100 Dumps PDF

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Question 12

You plan to implement an Azure Machine Learning solution. You have the following requirements:

• Run a Jupyter notebook to interactively tram a machine learning model.

• Deploy assets and workflows for machine learning proof of concept by using scripting rather than custom programming.

You need to select a development technique for each requirement

Which development technique should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Options:

Question 13

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)

Question 14

You have an Azure Machine Learning workspace. You build a deep learning model.

You need to publish a GPU-enabled model as a web service.

Which two compute targets can you use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Options:

A.

Azure Kubernetes Service (AKS)

B.

Azure Container Instances (ACI)

C.

Local web service

D.

Azure Machine Learning compute clusters

Question 15

You are using Azure Machine Learning to train machine learning models. You need a compute target on which to remotely run the training script. You run the following Python code:

Options:

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Exam Code: DP-100
Exam Name: Designing and Implementing a Data Science Solution on Azure
Last Update: May 1, 2024
Questions: 407
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