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A company is developing an application requiring efficient, scalable processing of user-uploaded files to Amazon S3, with immediate transformation into JSON format for data analysis. The system must handle variable upload volumes with minimal operational overhead. Identify the solution that best meets these criteria.
A
Utilize Amazon EMR for processing text files from S3, storing transformed data in JSON format within an Amazon Aurora DB cluster.
B
Implement Amazon S3 event notifications to trigger Amazon SQS, process data with EC2 instances, and store JSON files in Amazon DynamoDB.
C
Set up Amazon S3 event notifications to Amazon SQS, process with AWS Lambda, and store JSON output in Amazon DynamoDB.
D
Use Amazon EventBridge to direct new file events to Kinesis Data Streams, process with AWS Lambda, and store JSON data in an Amazon Aurora DB cluster.