Free Microsoft DP-100 Exam Questions

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

Page:    1 / 103      
Total 511 Questions | Updated On: Feb 11, 2026
Add To Cart
Question 1

You use Azure Machine Learning studio to analyze a dataset containing a decimal column named column1. You need to verify that the column1 values are normally distributed. Which statistic should you use?


Answer: C
Question 2

You manage an Azure Machine Learning workspace. The development environment tor managing the workspace is configured to use Python SDK v2 in Azure Machine Learning Notebooks A Synapse Spark Compute is currently attached and uses system-assigned identity You need to use Python code to update the Synapse Spark Compute 10 use a user-assigned identity. Solution: Configure the IdentityConfiguration class with the appropriate identity type. Does the solution meet the goal?


Answer: A
Question 3

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


Answer: D
Question 4

You have a dataset that contains records of patients tested for diabetes. The dataset includes the patient's age.
You plan to create an analysis that will report the mean age value from the differentially private data derived from the dataset.
You need to identify the epsilon value to use in the analysis that minimizes the risk of exposing the actual data.
Which epsilon value should you use?


Answer: C
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 analyzing a numerical dataset which contains missing values in several columns. You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set. You need to analyze a full dataset to include all values. Solution: Replace each missing value using the Multiple Imputation by Chained Equations (MICE) method. Does the solution meet the goal?


Answer: A
Page:    1 / 103      
Total 511 Questions | Updated On: Feb 11, 2026
Add To Cart

© Copyrights DumpsCertify 2026. All Rights Reserved

We use cookies to ensure your best experience. So we hope you are happy to receive all cookies on the DumpsCertify.