Free DP-100 Exam Braindumps
Designing and Implementing a Data Science Solution on Azure Questions 131–135 (page: 28)

Updated On: 10-Feb-2026

HOTSPOT (Drag and Drop is not supported)

You are designing a machine learning solution.
You have the following requirements:
• Use a training script to train a machine learning model.
• Build a machine learning proof of concept without the use of code or script.
You need to select a development tool for each requirement.
Which development tool should you use? 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 named workspace1.
You must develop Python SDK v2 code to attach an Azure Synapse Spark pool as a compute target in workspace1. The code must invoke the constructor of the SynapseSparkCompute class.
You need to invoke the constructor.
What should you use?

  1. Synapse workspace web URL and Spark pool name
  2. resource ID of the Synapse Spark pool and a user-defined name
  3. pool URL of the Synapse Spark pool and a system-assigned name
  4. Synapse workspace name and workspace web URL

Answer(s): B



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You manage an Azure Machine Learning workspace by using the Python SDK v2.
You must create a compute cluster in the workspace. The compute cluster must run workloads and property handle interruptions. You start by calculating the maximum amount of compute resources required by the workloads and size the cluster to match the calculations.
The cluster definition includes the following properties and values:
• names=“mlcluster”
• size=“STANDARD_DS3_v2”
• min_instances=1
• max_instances=4
• tier=“dedicated“
The cost of the compute resources must be minimized when a workload is active or idle. Cluster property changes must not affect the maximum amount of compute resources available to the workloads run on the cluster.
You need to modify the cluster properties to minimize the cost of compute resources.
Which properties should you modify? 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:



HOTSPOT (Drag and Drop is not supported)

You manage an Azure Machine Learning workspace. You create an experiment named experiment by using the Azure Machine Learning Python SDK v2 and MLflow.
You are reviewing the results of experiment by using the following code segment:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  1. See Explanation section for answer.

Answer(s): A

Explanation:



You manage an Azure Machine Learning workspace. You have an environment for training jobs which uses an existing Docker image.
A new version of the Docker image is available.
You need to use the latest version of the Docker image for the environment configuration by using the Azure Machine Learning SDK v2.
What should you do?

  1. Modify the conda_file to specify the new version of the Docker image.
  2. Use the Environment class to create a new version of the environment.
  3. Use the create_or_update method to change the tag of the image.
  4. Change the description parameter of the environment configuration.

Answer(s): B



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