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You have an Azure Machine Learning model deployed to an online endpoint and need to review the container logs, including the inference server console output and print/log statements from the model's scoring script, using the Azure ML Python SDK v2.
What is the first action you should take?
A
Connect by using SSH to the inference server.
B
Create an instance of the MLCIient class.
C
Connect by using Docker tools to the inference server.
D
Create an instance of the OnlineDeploymentOperations class.