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Microsoft DP-100 Exam With Confidence Using Practice Dumps

Exam Code:
DP-100
Exam Name:
Designing and Implementing a Data Science Solution on Azure
Certification:
Vendor:
Questions:
428
Last Updated:
Nov 12, 2024
Exam Status:
Stable
Microsoft DP-100

DP-100: Microsoft Azure Exam 2024 Study Guide Pdf and Test Engine

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Designing and Implementing a Data Science Solution on Azure Questions and Answers

Question 1

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:

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.

You need to add logging to the script to allow Hyperdrive to optimize hyperparameters for the AUC metric. Solution: Run the following code:

Does the solution meet the goal?

Options:

A.

Yes

B.

No

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Question 2

You need to implement early stopping criteria as suited in the model training requirements.

Which three code segments should you use to develop the solution? To answer, move the appropriate code segments from the list of code segments to the answer area and arrange them in the correct order.

NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Options:

Question 3

You create a binary classification model.

You need to evaluate the model performance.

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

NOTE: Each correct selection is worth one point.

Options:

A.

relative absolute error

B.

precision

C.

accuracy

D.

mean absolute error

E.

coefficient of determination