A developer is implementing an IoT application using DynamoDB as the data store for device event data.An application requirement is to purge all event data older than 30 days automatically.What is the optimal option to implement this requirement?

Answer options:

A.Enable TTL on the DynamoDB table and store the expiration timestamp in the TTL attribute in the epoch time format.
B.Implement a Lambda function to perform a query and delete on the table for items with a timestamp greater than 30 days.Use CloudWatch events to trigger the Lambda function.
C.Create a new DynamoDB table every 30 days.Delete the old DynamoDB table.
D.Enable DynamoDB streams on the table.Implement Lambda function to read events from the stream and delete expired items.

Answer: A
Option A is CORRECT because Time to Live (TTL) for Amazon DynamoDB is functionality that enables automatic deletion of items after a specified expiration time defined by a timestamp in the TTL attribute.
Option B is incorrect because this is not the optimal solution as it requires implementation and deployment for custom code inside a Lambda function.
Option C is incorrect because it would delete items newer than 30 days.
Option D is incorrect because this does not satisfy the original requirement.It would not purge data in the table.
Reference:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/howitworks-ttl.html