AWS Certified Developer – Associate (DVA-C02) — Question 293

A developer supports an application that accesses data in an Amazon DynamoDB table. One of the item attributes is expirationDate in the timestamp format. The application uses this attribute to find items, archive them, and remove them from the table based on the timestamp value.

The application will be decommissioned soon, and the developer must find another way to implement this functionality. The developer needs a solution that will require the least amount of code to write.

Which solution will meet these requirements?

Answer options

• A. Enable TTL on the expirationDate attribute in the table. Create a DynamoDB stream. Create an AWS Lambda function to process the deleted items. Create a DynamoDB trigger for the Lambda function.
• B. Create two AWS Lambda functions: one to delete the items and one to process the items. Create a DynamoDB stream. Use the DeleteItem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB stream and process them.
• C. Create two AWS Lambda functions: one to delete the items and one to process the items. Create an Amazon EventBridge scheduled rule to invoke the Lambda functions. Use the DeleteItem API operation to delete the items based on the expirationDate attribute. Use the GetRecords API operation to get the items from the DynamoDB table and process them.
• D. Enable TTL on the expirationDate attribute in the table. Specify an Amazon Simple Queue Service (Amazon SQS) dead-letter queue as the target to delete the items. Create an AWS Lambda function to process the items.

Correct answer: A

Explanation

Enabling DynamoDB TTL automatically deletes expired items based on the expirationDate attribute with zero custom code, and these deletions can be captured via a DynamoDB stream. By triggering an AWS Lambda function from this stream, the application can process and archive the deleted items with minimal development effort. Other options require writing custom code to manually scan, query, and delete items, which increases complexity.