Question

A data engineering team maintains an inventory system backed by a DynamoDB table. Whenever an item's stock level changes, they must trigger a downstream data enrichment process running as an AWS Lambda function, while also optionally filtering out changes that are not stock-related to avoid unnecessary invocations. The solution should be event-driven, require minimal custom code, and support built-in filtering without polling logic. Which approach best meets these requirements?

Accepted Answer

Enable a DynamoDB stream and use an EventBridge Pipe with the stream as the source, a content filter, and the Lambda function as the target.

Answer

Schedule an EventBridge rule to run every minute that invokes a Lambda function to scan the DynamoDB table for changed items.

Answer

Enable DynamoDB TTL and configure a Lambda function to process expired items as they are deleted.

Answer

Write a Kinesis Data Streams consumer application that continuously polls the DynamoDB table and applies filtering in custom code before calling Lambda.