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: Oct 28, 2025

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Question 1

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 2

You define a datastore named ml-data for an Azure Storage blob container. In the container, you have a folder

named train that contains a file named data.csv. You plan to use the file to train a model by using the Azure

Machine Learning SDK.

You plan to train the model by using the Azure Machine Learning SDK to run an experiment on local

compute.

You define a DataReference object by running the following code:

You need to load the training data.

Which code segment should you use?

A :

B :

C :

D :

E :

Answer: E

Question 3

You create an Azure Machine Learning workspace. You must configure an event handler to send an email notification when data drift is detected in the workspace datasets. You must minimize development efforts. You need to configure an Azure service to send the notification. Which Azure service should you use?

A : Azure Function apps

B : Azure DevOps pipeline

C : Azure Automation runbook

D : Azure Logic Apps

Answer: A

Question 4

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 5

You plan to run a script as an experiment using a Script Run Configuration. The script uses modules from the scipy library as well as several Python packages that are not typically installed in a default conda environment. You plan to run the experiment on your local workstation for small datasets and scale out the experiment by running it on more powerful remote compute clusters for larger datasets. You need to ensure that the experiment runs successfully on local and remote compute with the least administrative effort. What should you do?

A : Create and register an Environment that includes the required packages. Use this Environment for all experiment runs.

B : Always run the experiment with an Estimator by using the default packages.

C : Do not specify an environment in the run configuration for the experiment. Run the experiment by using the default environment.

D : Create a config. yaml file defining the conda packages that are required and save the file in the experiment folder.

E : Create a virtual machine (VM) with the required Python configuration and attach the VM as a compute target. Use this compute target for all experiment runs.

Answer: A

Page: 1 / 103

Total 511 Questions | Updated On: Oct 28, 2025

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