Free Microsoft DP-100 Exam Questions

Become Microsoft Certified with updated DP-100 exam questions and correct answers

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Total 511 Questions | Updated On: Sep 17, 2026

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Question 1

You arc creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has

missing values in many columns. The data does not require the application of predictors for each column. You

plan to use the Clean Missing Data module to handle the missing data.

You need to select a data cleaning method.

Which method should you use?

A : nthetic Minority

B : place using Probabilistic PAC

C : place using MICE

D : rmalization

Answer: B

Question 2

You manage an Azure Machine learning workspace named workspace1. You must develop Python SDK v2 code to add a compute instance to workspace1. The code must import all required modules and call the constructor of the Compute instance class. You need to add the instantiated compute instance to workspace 1. What should you use?

A : constructor of the azure ai.ml. ComputerPowerAction enemy

B : set resources method of an instance of the azureai.ml. Command class

C : begin create or update method of a stance of the azure.ai. imLMLCSentdass

D : contractor of the azure.ai.ml. mLComputeSchedule class

Answer: C

Question 3

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 plan to use a Python script to run an Azure Machine Learning experiment. The script creates a reference

to the experiment run context, loads data from a file, identifies the set of unique values for the label column,

and completes the experiment run:

from azureml.core import Run

import pandas as pd

run = Run.get_context()

data = pd.read_csv('data.csv')

label_vals = data['label'].unique()

# Add code to record metrics here

run.complete()

The experiment must record the unique labels in the data as metrics for the run that can be reviewed later.

You must add code to the script to record the unique label values as run metrics at the point indicated by the

comment.

Solution: Replace the comment with the following code:

for label_val in label_vals:

run.log('Label Values', label_val)

Does the solution meet the goal?

A :

B :

Answer: A

Question 4

You are attaching an Azure Databricks-based compute resource to an Azure Machine Learning development workspace.

You need to configure parameters to attach the resource.

Which three parameters should you use? Each correct answer presents part of the solution.

NOTE: Each correct selection is worth one point.

A : Workspace name

B : Compute name

C : Workspace user credentials

D : Workspace resource ID

E : Access token

Answer: A,B,E

Question 5

You train and register a model in your Azure Machine Learning workspace. You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input data. You need to create the inferencing script for the ParallelRunStep pipeline step. Which two functions should you include? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A : run(mini_batch)

B : main()

C : batch()

D : init()

E : score(mini_batch)

Answer: A,D

Page: 1 / 103

Total 511 Questions | Updated On: Sep 17, 2026

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