Exam AWS Certified Cloud Practitioner topic 1 question 860 discussion

Both DynamoDB and Neptune will work but the requirement is to have leave operational overhead and going by that DynamoDB will be the right option.

Looks to me Neptune per this: Amazon Neptune: Great for knowledge graphs (Wikipedia), fraud detection, recommendation engines, social networking

I couldn't believe it at first but the correct answer is C - Amazon Neptune. "Why use Amazon Neptune for a recommendation engine? Graph-based databases are commonly used for recommendation engines as they allow you to traverse relationships between entities to find high-value recommendations." Reference: https://aws.amazon.com/tutorials/recommendation-engine-for-games-amazon-neptune/

I would say Neptune, as the graph database is probably the best for recommendation engine.

Amazon DynamoDB is the only serverless database option among the choices

B. Amazon DynamoDB

B is answer

B Amazon DynamoDB is a fully managed NoSQL database service that provides fast and flexible storage for applications. It is designed to provide high availability, durability, and scalability with low operational overhead. With DynamoDB, you don't need to worry about infrastructure management, data replication, or scaling the database as your data and workload grow. In this scenario, the company can use Amazon DynamoDB to store data from the recommendation engine. DynamoDB is well-suited for scenarios that require fast and scalable storage, making it a good choice for storing data generated by a recommendation engine.

In the context of storing data from a recommendation engine, DynamoDB is well-suited due to its ability to handle large volumes of data and high read and write throughput. It provides automatic scaling based on demand, eliminating the need for manual capacity management.