Topic 1 Question 18

AWS Certified Machine Learning - Specialty

Topic 1 Question 18
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?
- Bundle the NVIDIA drivers with the Docker image.
- Build the Docker container to be NVIDIA-Docker compatible.
- Organize the Docker container's file structure to execute on GPU instances.
- Set the GPU flag in the Amazon SageMaker CreateTrainingJob request body.
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- https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-dg.pdf page 55: 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 image. For more information about nvidia-docker, see NVIDIA/nvidia-docker.
  
  So the answer is B
  
  👍 42
  vetal2021/09/25
- Answer is B. below is from AWS documentation, If you plan to use GPU devices for model training, 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 image. https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-training-algo-dockerfile.html
  
  👍 12
  AKT2021/09/27
- i think it's b
  
  👍 5
  heihei2021/09/20
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