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Free DP-100 Exam Braindumps (page: 35)

Page 34 of 127
PDF with 562 Questions

HOTSPOT (Drag and Drop is not supported)

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



HOTSPOT (Drag and Drop is not supported)

You manage an Azure Machine Learning workspace by using the Python SDK v2.
You must create an automated machine learning job to generate a classification model by using data files stored in Parquet format.
You must configure an autoscaling compute target and a data asset for the job.
You need to configure the resources for the job.
Which resource configuration 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:






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