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.
Explanations:
Installing Python 3 and boto3 allows interaction with AWS but does not replicate the SageMaker environment or TensorFlow setup, so the code may not run as expected.
Downloading the SageMaker-compatible TensorFlow Docker container locally allows for testing and running the SageMaker code with the same configuration, even offline.
Downloading TensorFlow alone does not replicate SageMaker’s specific setup or environment, and the code may not run identically.
Running a SageMaker notebook locally requires a setup beyond Jupyter, including AWS dependencies and environment configurations unavailable offline.
I conclude that the answer is:
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.