A developer needs to build an application for a retail company. The application must provide real-time product recommendations that are based on machine learning.
Which AWS service should the developer use to meet this requirement?
B. Amazon Personalize
"Amazon Personalize is a fully managed machine learning (ML) service that uses your data to generate product and content recommendations for your users. You provide data about your end-users (e.g., age, location, device type), items in your catalog (e.g., genre, price) and interactions between users and items (e.g., clicks, purchases). Personalize uses this data to train custom, private models that generate recommendations which can be surfaced via an API."
https://aws.amazon.com/personalize/faqs/
The answer is B. Amazon Personalize.
Amazon Personalize is a fully managed service that helps you to build personalized experiences for your customers. You can use Amazon Personalize to build real-time product recommendations, personalize your website content, and target your marketing campaigns.
AWS Health Dashboard is a service that provides you with a view of the health of your AWS resources. It does not provide any machine learning capabilities.
Amazon Forecast is a service that helps you to forecast demand for your products or services. It does not provide any machine learning capabilities for product recommendations.
Amazon Transcribe is a service that helps you to transcribe audio and video files. It does not provide any machine learning capabilities for product recommendations.
B. Amazon Personalize is a machine learning service that allows developers to create individualized product recommendations for customers. It can use data such as product metadata, user behavior, and demographic information to train machine learning models and provide personalized recommendations in real-time.
The developer should use Amazon Personalize to meet the requirement for real-time product recommendations based on machine learning. Amazon Personalize is a machine learning service that uses advanced algorithms to create custom personalization models that can be used to deliver real-time product recommendations, personalized search results, and targeted marketing campaigns. Amazon Personalize can be used to build recommendation engines for various use cases, including retail product recommendations.
Incorrect in my opinion. It is Amazon Personalise - This is an AWS service that allows developers to create applications with real-time personalized recommendations. It uses machine learning algorithms to generate recommendations based on user behavior and preferences.
AWS Health Dashboard is a service that provides information about the health of AWS services and regions. It does not provide machine learning-based recommendations
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