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A data engineer needs a fully automated solution to check for new data in multiple databases and process data that the solution finds. The solution must run every hour. The solution must be compatible with Amazon RDS, Amazon DynamoDB, and Amazon OpenSearch Service. The solution must be able to process up to 10 MB of data at one time. The solution must be optimized for costs and operational overhead. The solution must have robust error handling capabilities. Which solution will meet these requirements?
Correct Answer: A
Amazon EventBridge can invoke AWS Step Functions on an hourly schedule, and Step Functions is a serverless orchestration service that is well suited for coordinating checks across multiple data sources while providing built-in retry and catch mechanisms for robust error handling. AWS Lambda can connect to Amazon RDS, Amazon DynamoDB, and Amazon OpenSearch Service through AWS SDKs, and Lambda can handle workloads well beyond 10 MB in memory, so this design meets the processing-size requirement with low cost and minimal operational overhead compared with EMR or MWAA. Reference: https://docs.aws.amazon.com/step-functions/latest/dg/tutorial-handling-error-conditions.html https://docs.aws.amazon.com/opensearch-service/latest/developerguide/configuration- samples.html https://docs.aws.amazon.com/lambda/latest/dg/configuration-memory.html https://docs.aws.amazon.com/step-functions/latest/dg/workflow-studio-process-error.html