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…

Question

Options

• AInstall Python 3 and boto3 on their laptop and continue the code development using that
• BDownload the TensorFlow Docker container used in Amazon SageMaker from GitHub to their
• CDownload TensorFlow from tensorflow.org to emulate the TensorFlow kernel in the SageMaker
• DDownload the SageMaker notebook to their local environment, then install Jupyter Notebooks on

• A
  9% (3)
• B
  82% (28)
• C
  6% (2)
• D
  3% (1)

Explanation

Amazon SageMaker uses Docker containers to encapsulate training environments, including all framework dependencies (TensorFlow version, CUDA libraries, Python packages). By downloading the exact SageMaker-managed TensorFlow container from Amazon's ECR (or the associated GitHub/Docker Hub repository), the Specialist replicates the production training environment on their laptop. This enables fully offline development and local testing with identical behavior to SageMaker. Option A (boto3 alone) cannot emulate the SageMaker training container or its environment. Option C (downloading TensorFlow from tensorflow.org) may result in version or configuration mismatches. Option D (downloading the notebook + Jupyter) only replicates the IDE experience, not the training container environment.

No community discussion yet for this question.