SAA-C03 Question 515
Single answerA startup is building a ride-sharing application that requires low-latency access to real-time ride data, such as driver locations and trip details. The application must handle high request volumes with minimal operational overhead. Which AWS database service is best suited for this use case?
- A
Amazon RDS with a MySQL engine
- B
Amazon DynamoDB
- C
Amazon Redshift
- D
Amazon Aurora with PostgreSQL compatibility
Show answer and explanation
Correct answer: B
Explanation
For a ride-sharing application that requires low-latency access to real-time data with high request volumes, Amazon DynamoDB is the best choice. It is a fully managed NoSQL database service specifically designed to handle these types of workloads, offering high scalability and minimal operational overhead. Relational databases like Amazon RDS and Aurora are better suited for structured, transactional workloads, while Amazon Redshift is built for analytics and not real-time data access.
- A. Incorrect.
Amazon RDS with a MySQL engine is a relational database service. While it offers managed database capabilities, it is not optimized for real-time, high-throughput, low-latency workloads, making it less suitable for this use case.
- B. Correct.
Amazon DynamoDB is a fully managed NoSQL database service designed for low-latency, high-throughput applications. It is ideal for real-time workloads, such as tracking driver locations and trip details in a ride-sharing application.
- C. Incorrect.
Amazon Redshift is a data warehousing service optimized for analytics and querying large datasets, not for low-latency transactional workloads required by real-time applications.
- D. Incorrect.
Amazon Aurora with PostgreSQL compatibility is a highly available relational database service, but it is designed for transactional workloads with structured data and is not as well-suited for high-volume, low-latency NoSQL use cases.