Free DP-100 Exam Braindumps
Designing and Implementing a Data Science Solution on Azure Questions 166–170 (page: 35)

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 development environment for managing the workspace is configured to use Python SDK v2 in Azure Machine Learning Notebooks.
A Synapse Spark Compute is currently attached and uses system-assigned identity.
You need to use Python code to update the Synapse Spark Compute to use a user-assigned identity.
Solution: Create an instance of the MLClient class.
Does the solution meet the goal?

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: Add a compute resource to the workspace.
Does the solution meet the goal?

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: Register the model in the workspace.
Does the solution meet the goal?

HOTSPOT (Drag and Drop is not supported)

You design a data processing strategy for a machine learning project.
The data that must be processed includes unstructured flat files that must be processed in real time.
The data transformation must be executed on a serverless compute and optimized for big data analytical workloads.
You need to select the Azure services for the data science team.
Which storage and data processing service should you use? To answer, select the appropriate option in the answer area.
NOTE: Each correct selection is worth one point.

DRAG DROP (Drag and Drop is not supported)

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.