Resilient Architecture IV

Question 16

An e-commerce company plans to build a recommendation system to enhance user experience by suggesting products for purchase. The solution must ensure data consistency, provide low-latency responses, and handle complex queries efficiently.

As a solutions architect, suggest a solution that enhances product recommendations through consistent, low-latency, and complex query handling.

A. Create a multi-AZ database Amazon Neptune with read replicas to capture the read-intensive query loads. Integrate AWS Lambda to handle real-time data and update based on users’ activities.

B. Launch Amazon RDS with the graph database engine, configure Multi-AZ to keep the application available, and integrate Amazon ElastiCache to lessen the database’s load during busy hours.

C. Utilize a single-region Amazon RDS setup, directly querying the database for operations and manually adjusting scaling settings in response to increases in traffic.

D. Use Amazon DynamoDB to archive user activity logs and product metadata. Use AWS Step Functions to manage the graph connections between the tables queried.