nerdexam
AmazonAmazon

MLS-C01 · Question #131

MLS-C01 Question #131: Real Exam Question with Answer & Explanation

Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #131. The question stem and answer options stay visible for context.

ML Implementation and Operations

Question

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 installed on the notebook instance. How can a machine learning specialist ensure that required packages are automatically available on the notebook instance for the data scientist to use?

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

Unlock MLS-C01 to see the answer

You've previewed enough free MLS-C01 questions. Unlock MLS-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.

Topics

#SageMaker Notebooks#Lifecycle Configuration#Package Management#Environment Setup
Full MLS-C01 PracticeBrowse All MLS-C01 Questions