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: Dec 07, 2025

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Question 1

You create an Azure Machine Learning workspace. The workspace contains a dataset named sample.dataset, a compute instance, and a compute cluster. You must create a two-stage pipeline that will prepare data in the dataset and then train and register a model based on the prepared data. The first stage of the pipeline contains the following code:You need to identify the location containing the output of the first stage of the script that you can use as input for the second stage. Which storage location should you use?

A : workspaceblobstore datastore

B : workspacefi lest ore datastore

C : compute instance

Answer: C

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 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 are implementing a machine learning model to predict stock prices. The model uses a PostgreSQL database and requires GPU processing. You need to create a virtual machine that is pre-configured with the required tools. What should you do?

A : Create a Data Science Virtual Machine (DSVM) Windows edition.

B : Create a Geo Al Data Science Virtual Machine (Geo-DSVM) Windows edition.

C : Create a Deep Learning Virtual Machine (DLVM) Linux edition.

D : Create a Deep Learning Virtual Machine (DLVM) Windows edition.

E : Create a Data Science Virtual Machine (DSVM) Linux edition.

Answer: E

Question 5

You create a multi-class image classification deep learning model that uses a set of labeled images. You

create a script file named train.py that uses the PyTorch 1.3 framework to train the model.

You must run the script by using an estimator. The code must not require any additional Python libraries to be

installed in the environment for the estimator. The time required for model training must be minimized.

You need to define the estimator that will be used to run the script.

Which estimator type should you use?

A : nsorFlow

B : Torch

C : Learn

D : timator

Answer: B

Page: 1 / 103

Total 511 Questions | Updated On: Dec 07, 2025

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