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Microsoft

DP-100 · Question #371

You create an Azure Machine Learning managed compute resource. The compute resource is configured as follows: - Minimum nodes: 2 - Maximum nodes: 4 You must decrease the minimum number of nodes and…

The correct answer is B. MLClient class in Python SDK v2 C. Azure Machine Learning studio D. Azure CLI ml extension v2. The compute autoscales down to zero nodes when it isn't used. Dedicated VMs are created to run your jobs as needed. Use the following examples to create a compute cluster: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute…

Design and prepare a machine learning solution

Question

You create an Azure Machine Learning managed compute resource. The compute resource is configured as follows: - Minimum nodes: 2 - Maximum nodes: 4 You must decrease the minimum number of nodes and increase the maximum number of nodes to the following values: - Minimum nodes: 0 - Maximum nodes: 8 You need to reconfigure the compute resource. Which three methods can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Options

  • AAzure Machine Learning designer
  • BMLClient class in Python SDK v2
  • CAzure Machine Learning studio
  • DAzure CLI ml extension v2
  • EBuildContext class in Python SDK v2

How the community answered

(68 responses)
  • A
    3% (2)
  • B
    88% (60)
  • E
    9% (6)

Explanation

The compute autoscales down to zero nodes when it isn't used. Dedicated VMs are created to run your jobs as needed. Use the following examples to create a compute cluster: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute- cluster?view=azureml-api-2&tabs=python#create

Topics

#Azure Machine Learning#Compute Management#Scaling#Management Tools

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