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: Jan 13, 2026

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Question 1

You plan to use the Hyperdrive feature of Azure Machine Learning to determine the optimal hyperparameter values when training a model. You must use Hyperdrive to try combinations of the following hyperparameter values: learning_rate: any value between 0.001 and 0.1 batch_size: 16, 32, or 64 You need to configure the search space for the Hyperdrive experiment. Which two parameter expressions should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

A : a choice expression for learning_rate

B : a normal expression for batch_size

C : a choice expression for batch_size

D : a uniform expression for batch_size

Answer: B,D

Question 2

You need to consider the underlined segment to establish whether it is accurate.

To transform a categorical feature into a binary indicator, you should make use of the Clean Missing Data module.

Select `No adjustment required` if the underlined segment is accurate. If the underlined segment is inaccurate, select the accurate option.

A : adjustment required.

B : nvert to Indicator Values

C : ply SQL Transformation

D : oup Categorical Values

Answer: B

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 write five Python scripts that must be processed in the order specified in Exhibit A – which allows the

same modules to run in parallel, but will wait for modules with dependencies.

You must create an Azure Machine Learning pipeline using the Python SDK, because you want to script to

create the pipeline to be tracked in your version control system. You have created five PythonScriptSteps and

have named the variables to match the module names.

You need to create the pipeline shown. Assume all relevant imports have been done.

Which Python code segment should you use?

A :

B :

C :

D :

Answer: A

Question 5

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 have a Python script named train.py in a local folder named scripts. The script trains a regression model

by using scikit-learn. The script includes code to load a training data file which is also located in the scripts

folder.

You must run the script as an Azure ML experiment on a compute cluster named aml-compute.

You need to configure the run to ensure that the environment includes the required packages for model

training. You have instantiated a variable named aml-compute that references the target compute cluster.

Solution: Run the following code:

Does the solution meet the goal?

A : Yes

B : No

Answer: A

Page: 1 / 103

Total 511 Questions | Updated On: Jan 13, 2026

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