AWS Certified Machine Learning – Specialty — Question 189

A machine learning (ML) specialist wants to bring a custom training algorithm to Amazon SageMaker. The ML specialist implements the algorithm in a Docker container that is supported by SageMaker.

How should the ML specialist package the Docker container so that SageMaker can launch the training correctly?

Answer options

• A. Specify the server argument in the ENTRYPOINT instruction in the Dockerfile.
• B. Specify the training program in the ENTRYPOINT instruction in the Dockerfile.
• C. Include the path to the training data in the docker build command when packaging the container.
• D. Use a COPY instruction in the Dockerfile to copy the training program to the /opt/ml/train directory.

Correct answer: B

Explanation

The correct answer is B because specifying the training program in the ENTRYPOINT instruction tells SageMaker how to start the training process when launching the container. Options A, C, and D are incorrect as they either do not address the training initiation or involve unnecessary steps that do not ensure proper execution of the training algorithm.