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A data engineer is building a new data pipeline that stores metadata in an Amazon...

A data engineer is building a new data pipeline that stores metadata in an Amazon DynamoDB table. The data engineer must ensure that all items that are older than a specified age are removed from the DynamoDB table daily.

Which solution will meet this requirement with the LEAST configuration effort?

A.

Enable DynamoDB TTL on the DynamoDB table. Adjust the application source code to set the TTL attribute appropriately.

B.

Create an Amazon EventBridge rule that uses a daily cron expression to trigger an AWS Lambda function to delete items that are older than the specified age.

C.

Add a lifecycle configuration to the DynamoDB table that deletes items that are older than the specified age.

D.

Create a DynamoDB stream that has an AWS Lambda function that reacts to data modifications. Configure the Lambda function to delete items that are older than the specified age.

Amazon Web Services Data-Engineer-Associate Summary

  • Vendor: Amazon Web Services
  • Product: Data-Engineer-Associate
  • Update on: Jan 28, 2026
  • Questions: 231
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