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AWS Certified Machine Learning - Specialty

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Topic 1 Question 60
A Machine Learning Specialist is assigned a TensorFlow project using Amazon SageMaker for training, and needs to continue working for an extended period with no Wi-Fi access. Which approach should the Specialist use to continue working?
- Install Python 3 and boto3 on their laptop and continue the code development using that environment.
- Download the TensorFlow Docker container used in Amazon SageMaker from GitHub to their local environment, and use the Amazon SageMaker Python SDK to test the code.
- Download TensorFlow from tensorflow.org to emulate the TensorFlow kernel in the SageMaker environment.
- Download the SageMaker notebook to their local environment, then install Jupyter Notebooks on their laptop and continue the development in a local notebook.
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コメント(6)
- ANSWER B.
  
  YOU COULD INSTALL DOCKER-COMPOSE (AND NVIDIA-DOCKER IF TRAINING WITH A GPU) FOR LOCAL TRAINING
  
  HTTPS://SAGEMAKER.READTHEDOCS.IO/EN/STABLE/OVERVIEW.HTML#LOCAL-MODE HTTPS://GITHUB.COM/AWSLABS/AMAZON-SAGEMAKER-EXAMPLES/BLOB/MASTER/SAGEMAKER-PYTHON-SDK/TENSORFLOW_DISTRIBUTED_MNIST/TENSORFLOW_LOCAL_MODE_MNIST.IPYNB
  
  👍 40
  DonaldCMLIN2021/10/05
- https://aws.amazon.com/blogs/machine-learning/use-the-amazon-sagemaker-local-mode-to-train-on-your-notebook-instance/
  
  B
  
  👍 8
  VB2021/10/25
- Agreed for B
  
  👍 4
  CMMC2021/10/29
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