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?

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.








 

Suggested Answer: B

Community Answer: B




This question is in MLS-C01 AWS Certified Machine Learning – Specialty Exam
For getting AWS Certified Machine Learning – Specialty Certificate


Disclaimers:
The website is not related to, affiliated with, endorsed or authorized by Amazon.
Trademarks, certification & product names are used for reference only and belong to Amazon.
The website does not contain actual questions and answers from Amazon's Certification Exam.