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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()
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