SAP-C02 Question 294
Single answerA company is running a real-time analytics platform that processes a large volume of streaming data using Amazon Kinesis Data Streams. The current solution uses an on-demand capacity mode for the data stream, but during peak hours, the application experiences throttling and higher latencies. The company wants to ensure consistent performance with minimal operational overhead. What is the most cost-effective solution to meet the performance objectives?
- A
Switch the Kinesis Data Stream to a provisioned capacity mode with enough shards to handle peak throughput.
- B
Enable Enhanced Fan-Out for the Kinesis Data Stream to improve data delivery performance for consumers.
- C
Use Amazon SQS instead of Kinesis Data Streams to achieve better scalability and performance.
- D
Implement Amazon DynamoDB Accelerator (DAX) to reduce latency for data retrieval.
Show answer and explanation
Correct answer: A
Explanation
The primary issue in this scenario is the performance degradation caused by throttling during peak hours. Switching to a provisioned capacity mode for Kinesis Data Streams allows the company to configure an adequate number of shards to handle peak throughput, ensuring consistent performance. This approach is cost-effective because it avoids over-provisioning resources outside peak periods while removing the risk of throttling.
- A. Correct.
Switching to a provisioned capacity mode with an adequate number of shards ensures predictable performance for peak throughput, which meets the performance objectives while maintaining cost-effectiveness.
- B. Incorrect.
Enabling Enhanced Fan-Out improves performance for consumers but does not address the throttling issue on the data stream itself. This option would increase costs without solving the primary problem.
- C. Incorrect.
Amazon SQS is not an appropriate replacement for Kinesis Data Streams in a real-time analytics use case as SQS is designed for message queuing, not high-throughput real-time stream processing.
- D. Incorrect.
Amazon DynamoDB Accelerator (DAX) is unrelated to the streaming data use case. It is used to improve read performance for DynamoDB, not for real-time streaming data processing.