Question #1400
A company needs an end-to-end solution to develop, train, and deploy machine learning (ML) models efficiently. Which AWS service is specifically designed to fulfill this requirement?
Amazon Personalize
Amazon Comprehend
Amazon Forecast
Amazon SageMaker
Explanation
Amazon SageMaker (D) is the correct answer because it is a fully managed service tailored for building, training, and deploying machine learning models at scale. It offers integrated tools like Jupyter notebooks, built-in algorithms, automated hyperparameter tuning, and one-click deployment, covering the entire ML lifecycle.
Other options are incorrect because:
- A. Amazon Personalize: A managed service for building personalized recommendation systems, not a general-purpose ML development platform.
- B. Amazon Comprehend: A natural language processing (NLP) service for text analysis, not for end-to-end ML workflows.
- C. Amazon Forecast: A time-series forecasting service, focused on predictions rather than general ML model development.
Key Points: SageMaker is AWS's flagship service for custom ML workflows, while Personalize, Comprehend, and Forecast are pre-built solutions for specific use cases.
Answer
The correct answer is: D