Exam AWS Certified Developer - Associate DVA-C02 topic 1 question 117 discussion

Option B is the best solution because it proposes enabling a DynamoDB stream on the table, which allows the developer to capture document-level changes in near-real time without modifying the application code. Then, the stream can be configured to invoke an AWS Lambda function to process the documents in near-real time. This solution requires minimal changes to the existing application code, and the Lambda function can be developed and deployed separately, enabling the developer to easily maintain and update it as needed.

To implement near-real-time processing on documents added or updated in a DynamoDB table with the least amount of change to the existing application code, the developer should: B. Enable a DynamoDB stream on the table and invoke an AWS Lambda function to process the documents. Enabling a DynamoDB stream on the table allows capturing and processing of the changes made to the table in near-real-time. The stream provides an ordered sequence of item-level modifications (inserts, updates, and deletes) that can be consumed by other AWS services, such as AWS Lambda.

A DynamoDB stream is a feature that automatically tracks changes (inserts, updates, deletes) to items in a table. Whenever a document is added or updated, the change is recorded in the stream. A) Eliminated - Querying the DynamoDB table every hour introduces a delay, so it's not near-real-time. C) Eliminated - To use EventBridge, you would need to modify the application code to explicitly send events (PutEvents) every time a change is made in DynamoDB. D) Eliminated - require significant changes to the existing application code.

B is the correct answer.

GPT To implement near-real-time processing of documents when they are added or updated in an Amazon DynamoDB table with the least amount of change to the existing application code, let's evaluate the options: A. Set up a cron job on an Amazon EC2 instance. Run a script every hour to query the table for changes and process the documents: This approach introduces additional complexity and is not near-real time. Running a script periodically to check for updates is inefficient and does not meet the requirement for immediate processing upon document addition or update. B. Enable a DynamoDB stream on the table. Invoke an AWS Lambda function to process the documents: This is the most efficient and least intrusive option. DynamoDB Streams capture changes to items in the DynamoDB table as they occur in near-real time and can trigger an AWS Lambda function automatically. This setup requires minimal changes to the existing application code, as the processing logic is moved to the Lambda function, which is triggered by the stream events.