CLF-C02 Question 244
Single answerA company wants to implement a recommendation system for their online retail platform using an AWS service that simplifies the process of creating machine learning models, without requiring deep AI/ML expertise. Which AWS service is most suitable for this use case?
- A
Amazon Rekognition
- B
Amazon SageMaker
- C
Amazon Personalize
- D
AWS Glue
Show answer and explanation
Correct answer: C
Explanation
Amazon Personalize is an AWS service tailored for building personalized recommendation systems with minimal effort and expertise in machine learning. For the given scenario, where the task is to implement a recommendation system efficiently, Amazon Personalize is the most appropriate choice.
- A. Incorrect.
Amazon Rekognition is used for image and video analysis, such as facial recognition, object detection, and text extraction. It is not designed for building recommendation systems.
- B. Incorrect.
Amazon SageMaker is a comprehensive service for building, training, and deploying machine learning models. While it is powerful, it requires more expertise compared to a service like Amazon Personalize, which is purpose-built for recommendation systems.
- C. Correct.
Amazon Personalize is specifically designed for creating personalized user experiences, such as recommendation systems, without requiring extensive machine learning expertise. This makes it the most suitable service for the stated use case.
- D. Incorrect.
AWS Glue is a data integration service used to prepare and load data for analytics. It is not relevant to building a recommendation system.