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You are managing an Azure Machine Learning workspace and designing a training job configured to use a serverless compute. The serverless compute requires a specific instance type and count.
How should you configure the serverless compute using the Azure Machine Learning Python SDK v2?
A
Specify the compute name by using the compute parameter of the command job.
B
Configure the tier parameter to Dedicated VM.
C
Initialize and specify the ResourceConfiguration class.
D
Initialize AmiCompute class with size and type specification.