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.

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

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 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.

You plan to train a natural language processing (NLP) text classification model in multiple languages by using Azure Machine Learning Python SDK v2.

You need to configure the language of the text classification job by using automated machine learning.

Which method of the TextClassificationJob class should you use?

set_data
set_featurization
set_sweep
set_training_parameters

Correct answer: B

You manage an Azure Machine Learning workspace.

You choose the uri_folder data type as an output of a pipeline component.

You need to define the data access mode that is supported by your configuration.

Which mode should you define?

eval_upload
rw_mount
download
ro_mount

Correct answer: B

You manage an Azure Machine Learning workspace named Workspace1.

You plan to create a pipeline in the Azure Machine Learning Studio designer. The pipeline must include a custom component.

You need to ensure the custom component can be used in the pipeline.

What should you do first?

Create a pipeline endpoint.
Add a linked service to Workspace1.
Upload a .json file to Workspace1.
Create a datastore.
Upload a .yaml file to Workspace1.

Correct answer: E

You manage an Azure Machine Learning workspace. You design a training job that is configured with a serverless compute.

The serverless compute must have a specific instance type and count.

You need to configure the serverless compute by using Azure Machine Learning Python SDK v2.

What should you do?

Specify the compute name by using the compute parameter of the command job.
Configure the tier parameter to Dedicated VM.
Initialize and specify the ResourceConfiguration class.
Initialize AmiCompute class with size and type specification.

Correct answer: C

You manage an Azure Machine Learning workspace.

You plan to import and wrangle data stored in Azure Data Lake Storage Gen2 with Apache Spark.

You need to start interactive data wrangling with the user identity passthrough.

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:	Apr 11, 2026
File Size:	12 MB

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