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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:
516
Last Updated:
Nov 28, 2025
Exam Status:
Stable
Microsoft DP-100

DP-100: Microsoft Azure Exam 2025 Study Guide Pdf and Test Engine

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

Question 1

You are working on a classification task. You have a dataset indicating whether a student would like to play soccer and associated attributes. The dataset includes the following columns:

You need to classify variables by type.

Which variable should you add to each category? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Options:

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Question 2

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 create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files:

• /data/2018/Q1 .csv

• /data/2018/Q2.csv

• /data/2018/Q3.csv

• /data/2018/Q4.csv

• /data/2019/Q1.csv

All files store data in the following format:

id,M,f2,l

1,1,2,0

2,1,1,1

32,10

You run the following code:

You need to create a dataset named training_data and load the data from all files into a single data frame by using the following code:

Solution: Run the following code:

Does the solution meet the goal?

Options:

A.

Yes

B.

No

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