SAP-C02 Question 672
Single answerA financial services company is building a new application to process high-frequency trading data. The application requires extremely low latency for both reads and writes, with sub-millisecond response times being critical. Additionally, the trading data is accessed based on predefined key patterns and does not require complex querying capabilities. Which AWS purpose-built database service is the most suitable for this use case?
- A
Amazon DynamoDB
- B
Amazon Aurora Serverless
- C
Amazon ElastiCache for Redis
- D
Amazon RDS for PostgreSQL
Show answer and explanation
Correct answer: C
Explanation
For high-frequency trading applications that require extremely low latency, Amazon ElastiCache for Redis is the most suitable choice because it is an in-memory data store optimized for sub-millisecond response times. Other options, like DynamoDB and Aurora Serverless, provide low latency but cannot achieve the performance required for this specific use case. Relational database solutions like RDS for PostgreSQL are not designed for such low-latency, high-throughput scenarios.
- A. Incorrect.
Amazon DynamoDB is a NoSQL database that provides low-latency reads and writes but may not achieve the sub-millisecond response time required for high-frequency trading. It is better suited for use cases with slightly higher latency tolerance.
- B. Incorrect.
Amazon Aurora Serverless is a relational database that automatically scales based on demand. However, it is not optimized for sub-millisecond response times and is better suited for applications requiring relational data models.
- C. Correct.
Amazon ElastiCache for Redis is an in-memory data store that provides sub-millisecond latency for high-performance use cases like caching and real-time analytics. This makes it ideal for high-frequency trading applications requiring extremely low latency.
- D. Incorrect.
Amazon RDS for PostgreSQL is a relational database service optimized for complex querying and structured data. However, it is not designed to deliver the sub-millisecond response times required for this scenario.