AWS Certified Data Analytics – Specialty — Question 91

A company owns facilities with IoT devices installed across the world. The company is using Amazon Kinesis Data Streams to stream data from the devices to
Amazon S3. The company's operations team wants to get insights from the IoT data to monitor data quality at ingestion. The insights need to be derived in near- real time, and the output must be logged to Amazon DynamoDB for further analysis.
Which solution meets these requirements?

Answer options

• A. Connect Amazon Kinesis Data Analytics to analyze the stream data. Save the output to DynamoDB by using the default output from Kinesis Data Analytics.
• B. Connect Amazon Kinesis Data Analytics to analyze the stream data. Save the output to DynamoDB by using an AWS Lambda function.
• C. Connect Amazon Kinesis Data Firehose to analyze the stream data by using an AWS Lambda function. Save the output to DynamoDB by using the default output from Kinesis Data Firehose.
• D. Connect Amazon Kinesis Data Firehose to analyze the stream data by using an AWS Lambda function. Save the data to Amazon S3. Then run an AWS Glue job on schedule to ingest the data into DynamoDB.

Correct answer: C

Explanation

Option C is correct because it utilizes Amazon Kinesis Data Firehose along with an AWS Lambda function to process the data and directly save the output to DynamoDB, meeting the near-real-time requirement. The other options either do not use Kinesis Data Firehose or fail to save the output directly to DynamoDB in the required manner.