AWS Certified Data Engineer – Associate (DEA-C01) — Question 88

A lab uses IoT sensors to monitor humidity, temperature, and pressure for a project. The sensors send 100 KB of data every 10 seconds. A downstream process will read the data from an Amazon S3 bucket every 30 seconds.

Which solution will deliver the data to the S3 bucket with the LEAST latency?

Answer options

• A. Use Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose to deliver the data to the S3 bucket. Use the default buffer interval for Kinesis Data Firehose.
• B. Use Amazon Kinesis Data Streams to deliver the data to the S3 bucket. Configure the stream to use 5 provisioned shards.
• C. Use Amazon Kinesis Data Streams and call the Kinesis Client Library to deliver the data to the S3 bucket. Use a 5 second buffer interval from an application.
• D. Use Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) and Amazon Kinesis Data Firehose to deliver the data to the S3 bucket. Use a 5 second buffer interval for Kinesis Data Firehose.

Correct answer: C

Explanation

Option C is the best choice because using the Kinesis Client Library allows for real-time data processing with a short buffer interval of 5 seconds, minimizing latency. The other options either use default buffer settings or additional services that introduce more complexity and potential delay, which is less efficient for immediate data delivery.