A data scientist uses an Amazon SageMaker notebook instance to conduct data exploration and analysis. This requires certain Python packages that are not natively available on Amazon SageMaker to be…

Question

Options

• AInstall AWS Systems Manager Agent on the underlying Amazon EC2 instance and use Systems
• BCreate a Jupyter notebook file (.ipynb) with cells containing the package installation commands to
• CUse the conda package manager from within the Jupyter notebook console to apply the
• DCreate an Amazon SageMaker lifecycle configuration with package installation commands and

• A
  17% (3)
• B
  6% (1)
• C
  6% (1)
• D
  72% (13)

Explanation

Amazon SageMaker Lifecycle Configurations are shell scripts that run automatically when a notebook instance is created or started. By attaching a lifecycle configuration that includes pip install or conda install commands, the required Python packages are installed automatically every time the notebook instance starts - no manual intervention is needed. Option A (AWS Systems Manager Agent) would add operational overhead and is not the intended mechanism for this task. Option B (using a .ipynb file with install cells) requires the data scientist to manually run those cells each session, which is not automatic. Option C (conda from within the Jupyter console) is also a manual step. Only option D uses the SageMaker-native mechanism designed specifically for automated environment setup on notebook instances.

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