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A company is building an application that needs to process real-time streaming data.

A company is building an application that needs to process real-time streaming data. The application must process and transform the data and then store the data for later analysis.

Which solution will meet these requirements with the LEAST operational overhead?

A.

Use Amazon Kinesis Data Streams to ingest streaming data. Configure Amazon EC2 instances to process and transform data records from the data streams. Configure the EC2 instances to store the processed and transformed data in an Amazon RDS for MySQL database.

B.

Send streaming data to an Amazon SQS queue. Configure AWS Lambda functions to process the data in the SQS queue. Store the processed data in an Amazon DynamoDB table.

C.

Use Amazon Kinesis Data Streams to ingest streaming data. Configure an AWS Lambda function to process and transform data records from the data streams. Configure the Lambda function to store the processed and transformed data in an Amazon DynamoDB table.

D.

Send streaming data to an Amazon SNS topic. Create an application to process the data on an Amazon EC2 instance. Store the processed data in an Amazon ElastiCache cache.

Amazon Web Services SAA-C03 Summary

  • Vendor: Amazon Web Services
  • Product: SAA-C03
  • Update on: May 18, 2026
  • Questions: 879
Price: $52.5  $149.99
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