AWS Certified Machine Learning – Specialty — Question 89

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?

Answer options

• A. 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
• C. Configure the training program as an ENTRYPOINT named train
• D. Copy the training program to directory /opt/ml/train

Correct answer: C

Explanation

The correct answer is C because configuring the training program as an ENTRYPOINT allows Amazon SageMaker to execute it directly when the container starts. Options A and B do not provide the necessary execution context for SageMaker, and option D is incorrect as simply copying the program does not ensure it runs correctly.