Free DP-100 Exam Braindumps
Designing and Implementing a Data Science Solution on Azure Questions 161–165 (page: 34)

Updated On: 10-Feb-2026

DRAG DROP (Drag and Drop is not supported)

You have an Azure Machine Learning workspace named WS1 and a GitHub account named account1 that hosts a private repository named repo1.
You need to clone repo1 to make it available directly from WS1. The configuration must maximize the performance of the repo1 clone.
Which four actions should you perform in sequence?

  1. See Explanation section for answer.

Answer(s): A

Explanation:



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?

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

Answer(s): C



HOTSPOT (Drag and Drop is not supported)

You manage an Azure subscription that contains the following resources:
You plan to implement a solution that will automatically trigger the retraining of the model implemented by MLPipeline1. The trigger must be invoked if data drift is detected in Dataset1.
You need to select the components to invoke and run the solution. The solution must minimize coding implementation and maintenance efforts.
Which components should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

  1. See Explanation section for answer.

Answer(s): A

Explanation:



You manage an Azure Machine Learning workspace.
You must create and configure a compute cluster for a training job by using Python SDK v2.
You need to create a persistent Azure Machine Learning compute resource, specifying the fewest possible properties.
Which two properties should you define? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  1. size
  2. win_instances
  3. type
  4. name
  5. max_instances

Answer(s): C,D



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?

  1. Create a pipeline endpoint.
  2. Add a linked service to Workspace1.
  3. Upload a .json file to Workspace1.
  4. Create a datastore.
  5. Upload a .yaml file to Workspace1.

Answer(s): E



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