Free Microsoft DP-100 Exam Questions

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

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Total 525 Questions | Updated On: Jun 26, 2025

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Question 1

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.

An IT department creates the following Azure resource groups and resources:

The IT department creates an Azure Kubernetes Service (AKS)-based inference compute target named

aks-cluster in the Azure Machine Learning workspace.

You have a Microsoft Surface Book computer with a GPU. Python 3.6 and Visual Studio Code are installed.

You need to run a script that trains a deep neural network (DNN) model and logs the loss and accuracy

metrics.

Solution: Install the Azure ML SDK on the Surface Book. Run Python code to connect to the workspace and

then run the training script as an experiment on local compute.

A :

B :

Answer: B

Question 2

This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.

You are planning to make use of Azure Machine Learning designer to train models.

You need choose a suitable compute type.

Recommendation: You choose Compute cluster.

Will the requirements be satisfied?

A :

B :

Answer: A

Question 3

You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples

with Class B

The variation of Class B is very high.

You need to resolve imbalances.

Which method should you use?

A : rtition and Sample

B : uster Centroids

C : mek links

D : nthetic Minority Oversampling Technique (SMOTE)

Answer: D

Question 4

You are a data scientist working for a hotel booking website company. You use the Azure Machine Learning

service to train a model that identifies fraudulent transactions.

You must deploy the model as an Azure Machine Learning real-time web service using the Model.deploy

method in the Azure Machine Learning SDK. The deployed web service must return real-time predictions of

fraud based on transaction data input.

You need to create the script that is specified as the entry_script parameter for the InferenceConfig class used

to deploy the model.

What should the entry script do?

A : art a node on the inference cluster where the web service is deployed.

B : gister the model with appropriate tags and properties.

C : eate a Conda environment for the web service compute and install the necessary Python packages.

D : ad the model and use it to predict labels from input data.

E : ecify the number of cores and the amount of memory required for the inference compute.

Answer: D

Question 5

You deploy a model as an Azure Machine Learning real-time web service using the following code.

The deployment fails.

You need to troubleshoot the deployment failure by determining the actions that were performed during

deployment and identifying the specific action that failed.

Which code segment should you run?

A : rvice.get_logs()

B : rvice.state

C : rvice.serialize()

D : rvice.update_deployment_state()

Answer: A

Page: 1 / 105

Total 525 Questions | Updated On: Jun 26, 2025

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