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?
A) Modify the bash_profile file in the container and add a bash command to start the training program Modify the bash_profile file in the container and add a bash command to start the training program
B) Use CMD config in the Dockerfile to add the training program as a CMD of the image Use CMD config in the Dockerfile to add the training program as a CMD of the image
C) Configure the training program as an ENTRYPOINT named train Configure the training program as an ENTRYPOINT named train
D) Copy the training program to directory /opt/ml/train Copy the training program to directory /opt/ml/train

Question

Quizplus · Accepted Answer

CMD config in the Dockerfile is used to specify the default command to run when the container starts. In this case, the Specialist should use CMD config to add the training program as a CMD of the image so that Amazon SageMaker can launch the training correctly.

A Machine Learning Specialist Wants to Bring a Custom Algorithm