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You manage an Azure Machine learning workspace. The workspace includes an Azure Machine Learning kubernetes compute target configured as an Azure Kubemetes Service (AKS) cluster named AKS1 AKS1 is configured to enable the targeting of different nodes to train workloads. You must run a command job on AK51 by using the Azure ML Python SDK v2? The command job must select different types of compute nodes. The compare node types must be specified by using a command parameter. You need to configure the command parameter. Which parameter should you use?
Correct Answer: C
from azure.ai.ml import command # define the command command_job = command( command="python -c "print('Hello world!')"", environment="AzureML-lightgbm-3.2-ubuntu18.04-py37-cpu@latest", compute="<Kubernetes-compute_target_name>", instance_type="<instance_type_name>"