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: Apr 21, 2026

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Question 1

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 2

You define a datastore named ml-data for an Azure Storage blob container. In the container, you have a folder

named train that contains a file named data.csv. You plan to use the file to train a model by using the Azure

Machine Learning SDK.

You plan to train the model by using the Azure Machine Learning SDK to run an experiment on local

compute.

You define a DataReference object by running the following code:

You need to load the training data.

Which code segment should you use?

A :

B :

C :

D :

E :

Answer: E

Question 3

You must use the Azure Machine Learning SDK to interact with data and experiments in the workspace. You need to configure the config.json file to connect to the workspace from the Python environment. Which two additional parameters must you add to the config.json file in order to connect to the workspace? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A : subscription_Id

B : Key

C : resource_group

D : region

E : Login

Answer: A,C

Question 4

You use the Azure Machine Learning SDK in a notebook to run an experiment using a script file in an experiment folder. The experiment fails. You need to troubleshoot the failed experiment. What are two possible ways to achieve this goal? Each correct answer presents a complete solution.

A : Use the get_metrics() method of the run object to retrieve the experiment run logs.

B : Use the get_details_with_logs() method of the run object to display the experiment run logs.

C : View the log files for the experiment run in the experiment folder.

D : View the logs for the experiment run in Azure Machine Learning studio.

E : Use the get_output() method of the run object to retrieve the experiment run logs.

Answer: B,D

Question 5

You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples

with Class B

The variation of Class B is very high.

You need to resolve imbalances.

Which method should you use?

A : rtition and Sample

B : uster Centroids

C : mek links

D : nthetic Minority Oversampling Technique (SMOTE)

Answer: D

Page: 1 / 103

Total 511 Questions | Updated On: Apr 21, 2026

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