DP-100: Designing and Implementing a Data Science Solution on Azure

You are designing an Azure Machine Learning solution.

The model must be trained by using automated machine learning. The compute must be a shared resource with users in the Azure Machine Learning workspace. After you train the model, it must be deployed for batch scoring on a serverless compute.

You need to select the appropriate computation options for the solution.

Which compute options should you select for training and deployment? To answer, move the appropriate compute options to the correct project activities. You may use each compute option once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.

Correct answer: To work with this question, an Exam Simulator is required.

You are designing an Azure Machine Learning solution by using the Python SDK v2.

You must train and deploy the solution by using a compute target. The compute target must meet the following requirements:

Enable the use of on-premises compute resources.
Support autoscaling.

You need to configure a compute target for training and inference.

Which compute targets should you configure?

To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Correct answer: To work with this question, an Exam Simulator is required.

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 have an Azure Machine Learning workspace that includes an AmlCompute cluster and a batch endpoint.

You clone a repository that contains an MLflow model to your local computer.

You need to ensure that you can deploy the model to the batch endpoint.

Solution: Create a datastore in the workspace.

Does the solution meet the goal?

Yes
No

Correct answer: B

You manage an Azure Machine Learning Workspace named Workspase1 and an Azure Files share named Share1.

You plan to create an Azure Files datastore in Workspace1 to target Share1.

You need to configure permanent access to Share1 from the Azure Files datastore.

Which authorization method should you use?

Primary access key
Anonymous access
Account SAS key
User delegation SAS key

Correct answer: C

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 manage an Azure Machine Learning workspace. The Python script named script.py reads an argument named training_data. The training_data argument specifies the path to the training data in a file named dataset1.csv.

You plan to run the script.py Python script as a command job that trains a machine learning model.

You need to provide the command to pass the path for the dataset as a parameter value when you submit the script as a training job.

Solution: python script.py --training_data dataset1.csv

Does the solution meet the goal?

Yes
No

Correct answer: A

You manage an Azure Machine Learning workspace.

You plan to train a natural language processing (NLP) model that will assign labels for designated tokens in unstructured text.

You need to configure the NLP task by using automated machine learning.

Which configuration values should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Correct answer: To work with this question, an Exam Simulator is required.

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 manage an Azure Machine Learning workspace. The Python script named script.py reads an argument named training_data. The training_data argument specifies the path to the training data in a file named dataset1.csv.

You plan to run the script.py Python script as a command job that trains a machine learning model.

You need to provide the command to pass the path for the dataset as a parameter value when you submit the script as a training job.

Solution: python script.py dataset1.csv

Does the solution meet the goal?

Yes
No

Correct answer: B

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 manage an Azure Machine Learning workspace. The Python script named script.py reads an argument named training_data. The training_data argument specifies the path to the training data in a file named dataset1.csv.

You plan to run the script.py Python script as a command job that trains a machine learning model.

You need to provide the command to pass the path for the dataset as a parameter value when you submit the script as a training job.

Solution: python train.py --training_data training_data

Does the solution meet the goal?

Yes
No

Correct answer: B

You manage an Azure Machine Learning Workspace named Workspase1 and an Azure Files share named Share1.

You plan to create an Azure Files datastore in Workspace1 to target Share1.

You need to configure permanent access to Share1 from the Azure Files datastore.

Which authorization method should you use?

Secondary access key
Anonymous access
Account SAS key
Service SAS key

Correct answer: A

You have an Azure Machine Learning workspace.

You plan to use the terminal to configure a compute instance to run a notebook.

You need to add a new R kernel to the compute instance.

In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Correct answer: To work with this question, an Exam Simulator is required.

You manage an Azure Machine Learning workspace named workspace1.

You plan to create a registry named registry01 with the help of the following registry.yml (line numbers are used for reference only):

You need to use Azure Machine Learning Python SDK v2 with Python 3.10 in a notebook to interact with workspace1.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Correct answer: To work with this question, an Exam Simulator is required.

Vendor:	Microsoft
Exam Code:	DP-100
Exam Name:	Designing and Implementing a Data Science Solution on Azure
Date:	May 09, 2026
File Size:	17 MB

Download Designing and Implementing a Data Science Solution on Azure.DP-100.ExamTopics.2026-05-09.356q.vcex

How to open VCEX files?

Demo Questions

Question 1

Question 2

Question 3

Question 4

Question 5

Question 6

Question 7

Question 8

Question 9

Question 10

Question 11

ProfExam at a 20% markdown