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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: 441 Q&A's Shared By: coby
Question 40

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You are using Azure Machine Learning to run an experiment that trains a classification model.

You want to use Hyperdrive to find parameters that optimize the AUC metric for the model. You configure a HyperDriveConfig for the experiment by running the following code:

Questions 40

You plan to use this configuration to run a script that trains a random forest model and then tests it with validation data. The label values for the validation data are stored in a variable named y_test variable, and the predicted probabilities from the model are stored in a variable named y_predicted.

Solution: Run the following code:

Questions 40

Does the solution meet the goal?

Options:

A.

Yes

B.

No

Discussion
Question 41

You are developing a linear regression model in Azure Machine Learning Studio. You run an experiment to compare different algorithms.

The following image displays the results dataset output:

Questions 41

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the image.

NOTE: Each correct selection is worth one point.

Questions 41

Options:

Discussion
Question 42

You create a workspace by using Azure Machine Learning Studio.

You must run a Python SDK v2 notebook in the workspace by using Azure Machine Learning Studio. You must preserve the current values of variables set in the notebook for the current instance.

You need to maintain the state of the notebook.

What should you do?

Options:

A.

Change the compute.

B.

Change the current kernel

C.

Stop the compute.

D.

Stop the current kernel.

Discussion
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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