Exam DP-100 topic 2 question 121 discussion

B. win_instances: Not a valid property. C. type: Not directly specified; the type is implied by the class AmlCompute. E. max_instances: Optional — useful to auto-scale, but not required. cpu_cluster = AmlCompute( name="cpu-cluster", size="Standard_DS11_v2" )

https://learn.microsoft.com/en-us/AZURE/machine-learning/how-to-create-attach-compute-cluster?view=azureml-api-1&tabs=python

Sorry, my last answer was wrong, the correct answer would be A and E

from azure.ai.ml.entities import AmlCompute from azure.ai.ml import MLClient ml_client = MLClient( credential=DefaultAzureCredential(), subscription_id="your-subscription-id", resource_group_name="your-resource-group", workspace_name="your-workspace-name" ) compute_cluster = AmlCompute( name="my-compute-cluster", size="Standard_DS3_v2" ) ml_client.compute.begin_create_or_update(compute_cluster) A and D

To create a persistent Azure Machine Learning Compute resource in Python, specify the size and max_instances properties. Azure Machine Learning then uses smart defaults for the other properties. size: The VM family of the nodes created by Azure Machine Learning Compute. max_instances: The maximum number of nodes to autoscale up to when you run a job on Azure Machine Learning Compute. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-cluster?view=azureml-api-2&tabs=python

To create a persistent Azure Machine Learning Compute resource in Python, specify the size and max_instances properties. Azure Machine Learning then uses smart defaults for the other properties. size: The VM family of the nodes created by Azure Machine Learning Compute. https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-attach-compute-cluster?view=azureml-api-2&tabs=python

should be size and name, type is not essential property

To create a persistent Azure Machine Learning compute resource with the fewest possible properties using the Python SDK v2, you should define: type © name (D) These two properties are essential for creating the compute resource. The type specifies the kind of compute resource, and the name gives it a unique identifier within your workspace.