AWS Certified Data Engineer – Associate (DEA-C01) — Question 116

A telecommunications company collects network usage data throughout each day at a rate of several thousand data points each second. The company runs an application to process the usage data in real time. The company aggregates and stores the data in an Amazon Aurora DB instance.

Sudden drops in network usage usually indicate a network outage. The company must be able to identify sudden drops in network usage so the company can take immediate remedial actions.

Which solution will meet this requirement with the LEAST latency?

Answer options

• A. Create an AWS Lambda function to query Aurora for drops in network usage. Use Amazon EventBridge to automatically invoke the Lambda function every minute.
• B. Modify the processing application to publish the data to an Amazon Kinesis data stream. Create an Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) application to detect drops in network usage.
• C. Replace the Aurora database with an Amazon DynamoDB table. Create an AWS Lambda function to query the DynamoDB table for drops in network usage every minute. Use DynamoDB Accelerator (DAX) between the processing application and DynamoDB table.
• D. Create an AWS Lambda function within the Database Activity Streams feature of Aurora to detect drops in network usage.

Correct answer: B

Explanation

Option B is correct because using Amazon Kinesis data stream along with Apache Flink allows for real-time processing and immediate detection of drops in network usage, minimizing latency. Options A and C involve querying databases that introduce delays, while option D does not provide the same level of real-time processing capabilities as Kinesis and Flink.