How can the developer ensure that an orders and updates are stored to Amazon S3 with the LEAST development effort?

An online food company provides an Amazon API Gateway HTTP API 1o receive orders for partners. The API is integrated with an AWS Lambda function. The Lambda function stores the orders in an Amazon DynamoDB table.

The company expects to onboard additional partners Some to me panthers require additional Lambda function to receive orders. The company has created an Amazon S3 bucket. The company needs 10 store all orders and updates m the S3 bucket for future analysis

How can the developer ensure that an orders and updates are stored to Amazon S3 with the LEAST development effort?
A . Create a new Lambda function and a new API Gateway API endpoint. Configure the new Lambda function to write to the S3 bucket. Modify the original Lambda function to post updates to the new API endpoint.
B . Use Amazon Kinesis Data Streams to create a new data stream. Modify the Lambda function to publish orders to the oats stream Configure in data stream to write to the S3 bucket.
C . Enable DynamoDB Streams on me DynamoOB table. Create a new lambda function. Associate the stream’s Amazon Resource Name (ARN) with the Lambda Function Configure the Lambda function to write to the S3 bucket as records appear in the table’s stream.
D . Modify the Lambda function to punish to a new Amazon. Simple Lambda function receives orders. Subscribe a new Lambda function to the topic. Configure the new Lambda function to write to the S3 bucket as updates come through the topic.

View Answer

Answer: C

Explanation:

This solution will ensure that all orders and updates are stored to Amazon S3 with the least development effort because it uses DynamoDB Streams to capture changes in the DynamoDB table and trigger a Lambda function to write those changes to the S3 bucket. This way, the original Lambda function and API Gateway API endpoint do not need to be modified, and no additional services are required. Option A is not optimal because it will require more development effort to create a new Lambda function and a new API Gateway API endpoint, and to modify the original Lambda function to post updates to the new API endpoint. Option B is not optimal because it will introduce additional costs and complexity to use Amazon Kinesis Data Streams to create a new data stream, and to modify the Lambda function to publish orders to the data stream. Option D is not optimal because it will require more development effort to modify the Lambda function to publish to a new Amazon SNS topic, and to create and subscribe a new Lambda function to the topic.

Reference: Using DynamoDB Streams, Using AWS Lambda with Amazon S3