CLF-C02 Question 245
Single answerA retail company wants to build a recommendation system to suggest products to customers based on their purchase history. Which AWS service should they use to achieve this goal?
- A
Amazon Personalize
- B
Amazon Lex
- C
Amazon Rekognition
- D
Amazon Comprehend
Show answer and explanation
Correct answer: A
Explanation
Amazon Personalize is specifically designed for creating personalized customer experiences, such as product recommendations, based on user data. It uses machine learning to deliver highly accurate recommendations and is the most appropriate service for this use case. The other options, while also AWS AI/ML services, do not align with the requirements of building a recommendation system.
- A. Correct.
Amazon Personalize is an AWS service designed for building real-time personalized recommendations and search results, which makes it perfectly suited for building a recommendation system.
- B. Incorrect.
Amazon Lex is a service for building conversational interfaces like chatbots, and it is not suitable for building a recommendation system.
- C. Incorrect.
Amazon Rekognition is a service for image and video analysis, such as detecting objects or facial recognition, and is not related to recommendation systems.
- D. Incorrect.
Amazon Comprehend is a natural language processing (NLP) service for analyzing text, such as sentiment analysis or topic modeling, and does not provide recommendation capabilities.