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 27, 2026

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Question 1

You are creating a new Azure Machine Learning pipeline using the designer.

The pipeline must train a model using data in a comma-separated values (CSV) file that is published on a

website. You have not created a dataset for this file.

You need to ingest the data from the CSV file into the designer pipeline using the minimal administrative

effort.

Which module should you add to the pipeline in Designer?

A : nvert to CSV

B : ter Data Manually

C : port Data

D : taset

Answer: D

Question 2

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 3

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

Question 4

You are a data scientist working for a bank and have used Azure ML to train and register a machine learning

model that predicts whether a customer is likely to repay a loan.

You want to understand how your model is making selections and must be sure that the model does not violate

government regulations such as denying loans based on where an applicant lives.

You need to determine the extent to which each feature in the customer data is influencing predictions.

What should you do?

A : able data drift monitoring for the model and its training dataset.

B : ore the model against some test data with known label values and use the results to calculate a confusion matrix.

C : the Hyperdrive library to test the model with multiple hyperparameter values.

D : the interpretability package to generate an explainer for the model.

E : tags to the model registration indicating the names of the features in the training dataset.

Answer: D

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 are creating a new experiment in Azure Machine Learning Studio. One class has a much smaller number of observations than the other classes in the training set. You need to select an appropriate data sampling strategy to compensate for the class imbalance. Solution: You use the Stratified split for the sampling mode. Does the solution meet the goal?

A : Yes

B : No

Answer: B

Page: 1 / 103

Total 511 Questions | Updated On: Apr 27, 2026

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