A company wants to build, train, and deploy machine learning (ML) models.
Which AWS service can the company use to meet this requirement?
Amazon Personalize
Amazon Comprehend
Amazon Forecast
Amazon SageMaker
Explanations:
Amazon Personalize is a service for building recommendation systems, not for general ML model building, training, and deployment.
Amazon Comprehend is a natural language processing (NLP) service that extracts insights from text, but it does not provide tools for general ML model development.
Amazon Forecast is specialized for time series forecasting and doesn’t support the full ML model lifecycle including arbitrary model building and deployment.
Amazon SageMaker is a comprehensive service that allows users to build, train, and deploy machine learning models at scale. It covers the full ML lifecycle.