AWS Certified Developer – Associate — Question 16

A company needs to ingest terabytes of data each hour from thousands of sources that are delivered almost continually throughout the day. The volume of messages generated varies over the course of the day. Messages must be delivered in real time for fraud detection and live operational dashboards.
Which approach will meet these requirements?

Answer options

• A. Send the messages to an Amazon SQS queue, then process the messages by using a fleet of Amazon EC2 instances
• B. Use the Amazon S3 API to write messages to an S3 bucket, then process the messages by using Amazon Redshift
• C. Use AWS Data Pipeline to automate the movement and transformation of data
• D. Use Amazon Kinesis Data Streams with Kinesis Client Library to ingest and deliver messages

Correct answer: D

Explanation

The correct answer is D because Amazon Kinesis Data Streams is specifically designed for real-time data ingestion and processing, which aligns with the need for immediate delivery required for fraud detection and operational dashboards. Options A and B do not provide the necessary real-time capabilities, while option C focuses on automation rather than immediate data processing.