You manage an Azure Machine Learning workspace by using the Azure CLI ml extension v2. You need to define a YAML schema to create a compute cluster. Which schema should you use?

The correct answer is B. https://azuremlschemas.azureedge.net/latest/amlCompute.schema.json. The correct YAML schema for creating a compute cluster in Azure ML CLI v2 is amlCompute.schema.json. 'AmlCompute' refers to Azure Machine Learning managed compute clusters, which are scalable, multi-node compute resources used for training jobs. The other schemas serve…

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Question

You manage an Azure Machine Learning workspace by using the Azure CLI ml extension v2. You need to define a YAML schema to create a compute cluster. Which schema should you use?

Options

How the community answered

(39 responses)

B
90% (35)
C
3% (1)
D
8% (3)

Explanation

The correct YAML schema for creating a compute cluster in Azure ML CLI v2 is amlCompute.schema.json. 'AmlCompute' refers to Azure Machine Learning managed compute clusters, which are scalable, multi-node compute resources used for training jobs. The other schemas serve different purposes: computeInstance.schema.json is for single-node development VMs (compute instances), kubernetesCompute.schema.json is for attaching Azure Kubernetes Service or Arc-enabled Kubernetes clusters, and vmCompute.schema.json (vmCompute) does not apply to managed compute clusters. When writing the YAML file, the $schema field must reference the amlCompute schema to define a compute cluster correctly.

Topics

#Azure Machine Learning#AML Compute#CLI v2#YAML Schema

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