Mastering Amazon SageMaker

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Questions and Answers

Which platform is designed to cover the entire machine learning lifecycle?

  • Neither Amazon SageMaker nor AWS Inferentia
  • AWS Inferentia
  • Both Amazon SageMaker and AWS Inferentia
  • Amazon SageMaker (correct)

What is the purpose of AWS Inferentia?

  • To provide a complete ecosystem for building, training, and deploying machine learning models
  • To cover the entire machine learning lifecycle
  • To create, train, tune, deploy, and monitor machine learning models
  • To speed up the process of making predictions or classifications using pre-trained deep learning models (correct)

Which platform offers automatic hyperparameter tuning and built-in algorithms?

  • Both Amazon SageMaker and AWS Inferentia
  • Amazon SageMaker (correct)
  • AWS Inferentia
  • Neither Amazon SageMaker nor AWS Inferentia

Which platform is suitable for both model training and inference?

<p>Amazon SageMaker (A)</p> Signup and view all the answers

Is Inferentia a complete machine learning platform?

<p>No, Inferentia is not a complete machine learning platform (D)</p> Signup and view all the answers

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