What should the solutions architect recommend?
Configure AWS CloudTrail trails to log S3 API calls. Use AWS AppSync to process the files.
Configure an object-created event notification within the S3 bucket to invoke an AWS Lambda function to process the files.
Configure Amazon Kinesis Data Streams to process and send data to Amazon S3. Invoke an AWS Lambda function to process the files.
Configure an Amazon Simple Notification Service (Amazon SNS) topic to process the files uploaded to Amazon S3. Invoke an AWS Lambda function to process the files.
Explanations:
AWS CloudTrail is used for logging API calls, not for processing files. AWS AppSync is primarily for real-time data queries and synchronization, which does not fit the use case of processing uploaded files.
Configuring an S3 event notification to invoke a Lambda function allows for automatic processing of files immediately upon upload. This is efficient and cost-effective, especially since Lambda can handle varying loads of concurrent uploads seamlessly.
While Kinesis Data Streams can handle high volumes of data and is great for real-time processing, it adds unnecessary complexity and cost for this scenario. The requirement is simply to process files as they are uploaded to S3, which can be done more efficiently with S3 event notifications and Lambda.
Using Amazon SNS for file processing is not optimal because SNS is more suited for messaging and notification rather than direct file processing. It would also introduce additional steps to trigger the Lambda function, making it less efficient than using S3 event notifications directly.
I plan that the answer is:
Configure an object-created event notification within the S3 bucket to invoke an AWS Lambda function to process the files.