MLS-C01 · Question #80
MLS-C01 Question #80: Real Exam Question with Answer & Explanation
The correct answer is B: Build the Docker container to be NVIDIA-Docker compatible.. https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-dg.pdf If you plan to use GPU devices, make sure that your containers are nvidia-docker compatible. Only the CUDA toolkit should be included on containers. Don't bundle NVIDIA drivers with the For more information about nv
Question
A Machine Learning Specialist is packaging a custom ResNet model into a Docker container so the company can leverage Amazon SageMaker for training. The Specialist is using Amazon EC2 P3 instances to train the model and needs to properly configure the Docker container to leverage the NVIDIA GPUs. What does the Specialist need to do?
Options
- ABundle the NVIDIA drivers with the Docker image.
- BBuild the Docker container to be NVIDIA-Docker compatible.
- COrganize the Docker container's file structure to execute on GPU instances.
- DSet the GPU flag in the Amazon SageMaker CreateTrainingJob request body.
Explanation
https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-dg.pdf If you plan to use GPU devices, make sure that your containers are nvidia-docker compatible. Only the CUDA toolkit should be included on containers. Don't bundle NVIDIA drivers with the For more information about nvidia-docker, see NVIDIA/nvidia-docker.
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