Free DP-100 Exam Braindumps
Designing and Implementing a Data Science Solution on Azure Questions 156–160 (page: 33)

Updated On: 10-Feb-2026

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 the following Azure subscriptions and Azure Machine Learning service workspaces:
You need to obtain a reference to the ml-project workspace.
Solution: Run the following Python code:
Does the solution meet the goal?

  1. Yes
  2. No

Answer(s): B



HOTSPOT (Drag and Drop is not supported)

You manage an Azure Machine Learning workspace named workspace1.
You must register an Azure Blob storage datastore in workspace1 by using an access key. You develop Python SDK v2 code to import all modules required to register the datastore.
You need to complete the Python SDK v2 code to define the datastore.
How should you complete the code? 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 plan to import data from Azure Data Lake Storage Gen2.
You need to build a URI that represents the storage location.
Which protocol should you use?

  1. https
  2. adl
  3. abfss
  4. wasbs

Answer(s): C



You manage an Azure Machine Learning workspace. You have a folder that contains a CSV file. The folder is registered as a folder data asset.
You plan to use the folder data asset for data wrangling during interactive development.
You need to access and load the folder data asset into a Pandas data frame.
Which method should you use to achieve this goal?

  1. mltable.from_parquet_files()
  2. mltable.from_delimited_files()
  3. mltable.from_data_lake()
  4. mltable.load()

Answer(s): B



You manage an Azure Machine Learning workspace named proj1.
You plan to use assets defined in proj1 to create a pipeline in the Machine Learning studio designer.
You need to set the Registry name filter to display only the list of assets defined in proj1.
What should you set the Registry name filter to?

  1. proj1
  2. azureml-meta
  3. azureml
  4. workspace

Answer(s): A



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