AWS Certified Data Analytics – Specialty — Question 19

A company launched a service that produces millions of messages every day and uses Amazon Kinesis Data Streams as the streaming service.
The company uses the Kinesis SDK to write data to Kinesis Data Streams. A few months after launch, a data analyst found that write performance is significantly reduced. The data analyst investigated the metrics and determined that Kinesis is throttling the write requests. The data analyst wants to address this issue without significant changes to the architecture.
Which actions should the data analyst take to resolve this issue? (Choose two.)

Answer options

• A. Increase the Kinesis Data Streams retention period to reduce throttling.
• B. Replace the Kinesis API-based data ingestion mechanism with Kinesis Agent.
• C. Increase the number of shards in the stream using the UpdateShardCount API.
• D. Choose partition keys in a way that results in a uniform record distribution across shards.
• E. Customize the application code to include retry logic to improve performance.

Correct answer: C, D

Explanation

The correct answers are C and D. Increasing the number of shards (C) allows for higher write capacity, alleviating throttling issues. Choosing partition keys that lead to uniform distribution (D) ensures that no single shard becomes a bottleneck, which also helps prevent throttling. Options A, B, and E do not directly address the core issue of write throughput limitations.