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: Mar 19, 2026

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Question 1

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

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 are a data scientist using Azure Machine Learning Studio.

You need to normalize values to produce an output column into bins to predict a target column.

Solution: Apply an Equal Width with Custom Start and Stop binning mode.

Does the solution meet the goal?

A :

B :

Answer: B

Question 3

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 4

You need to implement a feature engineering strategy for the crowd sentiment local models. What should you do?

A : Apply an analysis of variance (ANOVA).

B : Apply a Pearson correlation coefficient.

C : Apply a Spearman correlation coefficient.

D : Apply a linear discriminant analysis.

Answer: D

Question 5

You have a deployment of an Azure OpenAI Service base model. You plan to fine-tune the model. You need to prepare a file that contains training data. Which file format should you use?

A : JSON

B : TSV

C : JSONL

D : CSV

Answer: C

Page: 1 / 103

Total 511 Questions | Updated On: Mar 19, 2026

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