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Answer: By enabling DynamoDB Streams and creating a trigger to link the stream with the Lambda function for real-time change processing.
The correct answer is C. Enabling DynamoDB Streams on the table allows AWS to capture and process changes (such as inserts, updates, and deletes) to the DynamoDB table in real-time. Once DynamoDB Streams are enabled, you can create a trigger that links the DynamoDB stream to an AWS Lambda function. This setup ensures that the Lambda function is automatically invoked whenever a change occurs in the table. This approach is effective and commonly used in serverless applications to react to changes in DynamoDB tables.
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How can a developer set up an AWS Lambda function to process changes in an Amazon DynamoDB table?
A
By creating an Amazon Kinesis data stream and setting up a trigger to link it with the Lambda function.
B
By establishing an Amazon EventBridge rule for periodic Lambda invocation and then connecting it to the DynamoDB table for change detection.
C
By enabling DynamoDB Streams and creating a trigger to link the stream with the Lambda function for real-time change processing.
D
By creating an Amazon Kinesis Data Firehose delivery stream, attaching it to the DynamoDB table, and setting the Lambda function as the destination.