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: Jan 29, 2026

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Question 1

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 2

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 3

You use the following Python code in a notebook to deploy a model as a web service:The deployment fails. You need to use the Python SDK in the notebook to determine the events that occurred during service deployment an initialization. Which code segment should you use?

A : service.state

B : service.environment

C : service.get_logs()

D : Service.serialize

Answer: C

Question 4

You manage an Azure Machine learning workspace named workspace1. You must develop Python SDK v2 code to add a compute instance to workspace1. The code must import all required modules and call the constructor of the Compute instance class. You need to add the instantiated compute instance to workspace 1. What should you use?

A : constructor of the azure ai.ml. ComputerPowerAction enemy

B : set resources method of an instance of the azureai.ml. Command class

C : begin create or update method of a stance of the azure.ai. imLMLCSentdass

D : contractor of the azure.ai.ml. mLComputeSchedule class

Answer: 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 : ways run the experiment with an Estimator by using the default packages.

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

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

E : eate 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: Jan 29, 2026

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