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Questions and Answers
Which platform is designed to cover the entire machine learning lifecycle?
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?
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?
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?
Which platform is suitable for both model training and inference?
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Is Inferentia a complete machine learning platform?
Is Inferentia a complete machine learning platform?
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