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Answer: size, max_instances
The question asks for the minimum required properties to create a persistent Azure ML compute cluster using Python SDK v2. According to the official Microsoft documentation referenced in the community discussion and the consensus among users (with AE having 67% support), the essential properties are 'size' and 'max_instances'. The 'size' property specifies the VM family for the compute nodes, while 'max_instances' defines the maximum number of nodes for autoscaling. Azure ML provides smart defaults for other properties, making these two sufficient. Option B ('win_instances') is invalid, and while 'name' and 'type' are sometimes used, they are not strictly required as minimal properties per the documentation and community consensus.
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You are creating a persistent Azure Machine Learning compute cluster using the Python SDK v2 and must specify the minimum number of required properties.
Which two properties must you define? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A
size
B
win_instances
C
type
D
name
E
max_instances
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