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You've trained a model using the Python SDK for Azure Machine Learning. You want to deploy the model to get real-time predictions. You want to manage the underlying infrastructure used by the endpoint. What kind of endpoint should you create?
A managed online endpoint.
A batch endpoint.
A Kubernetes online endpoint.
You're deploying a model as a real-time inferencing service. What functions must the scoring script for the deployment include?
main() and score()
main()
score()
base() and train()
base()
train()
init() and run()
init()
run()
You must answer all questions before checking your work.
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