A Machine Learning Specialist wants to bring a custom algorithm to Amazon SageMaker. The Specialist implements the algorithm in a Docker container supported by Amazon SageMaker. How should the Special

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ML Implementation and Operations

Question

A Machine Learning Specialist wants to bring a custom algorithm to Amazon SageMaker. The Specialist implements the algorithm in a Docker container supported by Amazon SageMaker. How should the Specialist package the Docker container so that Amazon SageMaker can launch the training correctly?

Options

AModify the bash_profile file in the container and add a bash command to start the training
BUse CMD config in the Dockerfile to add the training program as a CMD of the image
CConfigure the training program as an ENTRYPOINT named train
DCopy the training program to directory /opt/ml/train

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Topics

#SageMaker Custom Containers#Docker ENTRYPOINT#ML Training Jobs#Container Packaging

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