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A company is building a serverless application that processes large volumes of data from a...

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A company is building a serverless application that processes large volumes of data from a mobile app. The application uses an AWS Lambda function to process the data and store the data in an Amazon DynamoDB table.

The company needs to ensure that the application can recover from failures and continue processing data without losing any records.

Which solution will meet these requirements?

A.

Configure the Lambda function to use a dead-letter queue with an Amazon Simple Queue Service (Amazon SQS) queue. Configure Lambda to retry failed records from the dead-letter queue. Use a retry mechanism by implementing an exponential backoff algorithm.

B.

Configure the Lambda function to read records from Amazon Data Firehose. Replay the Firehose records in case of any failures.

C.

Use Amazon OpenSearch Service to store failed records. Configure AWS Lambda to retry failed records from OpenSearch Service. Use Amazon EventBridge to orchestrate the retry logic.

D.

Use Amazon Simple Notification Service (Amazon SNS) to store the failed records. Configure Lambda to retry failed records from the SNS topic. Use Amazon API Gateway to orchestrate the retry calls.

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