AWS Certified Solutions Architect – Associate (SAA-C03) — Question 93

A company needs to configure a real-time data ingestion architecture for its application. The company needs an API, a process that transforms data as the data is streamed, and a storage solution for the data.
Which solution will meet these requirements with the LEAST operational overhead?

Answer options

• A. Deploy an Amazon EC2 instance to host an API that sends data to an Amazon Kinesis data stream. Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.
• B. Deploy an Amazon EC2 instance to host an API that sends data to AWS Glue. Stop source/destination checking on the EC2 instance. Use AWS Glue to transform the data and to send the data to Amazon S3.
• C. Configure an Amazon API Gateway API to send data to an Amazon Kinesis data stream. Create an Amazon Kinesis Data Firehose delivery stream that uses the Kinesis data stream as a data source. Use AWS Lambda functions to transform the data. Use the Kinesis Data Firehose delivery stream to send the data to Amazon S3.
• D. Configure an Amazon API Gateway API to send data to AWS Glue. Use AWS Lambda functions to transform the data. Use AWS Glue to send the data to Amazon S3.

Correct answer: C

Explanation

Option C is the correct choice because it effectively combines Amazon API Gateway with Kinesis for real-time data ingestion, utilizes Kinesis Data Firehose for efficient data delivery, and employs AWS Lambda for data transformation, all contributing to lower operational overhead. Options A and D involve unnecessary complexity with EC2 or less efficient processing, while option B lacks real-time capabilities by using AWS Glue directly without the streaming architecture.