AWS Certified Solutions Architect - Associate
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A company has deployed a serverless application that invokes an AWS Lambda function when new documents are uploaded to an Amazon S3 bucket. The application uses the Lambda function to process the documents. After a recent marketing campaign, the company noticed that the application did not process many of the documents.
What should a solutions architect do to improve the architecture of this application?
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UAnonymous
A
Set the Lambda function's runtime timeout value to 15 minutes.
B
Configure an S3 bucket replication policy. Stage the documents in the S3 bucket for later processing.
C
Deploy an additional Lambda function. Load balance the processing of the documents across the two Lambda functions.
D
Create an Amazon Simple Queue Service (Amazon SQS) queue. Send the requests to the queue. Configure the queue as an event source for Lambda.
Explanation:
Explanation
When documents are uploaded to an S3 bucket and trigger Lambda functions directly, there can be issues with:
- Concurrency limits - Lambda has default concurrency limits that can be exceeded during traffic spikes
- Event loss - If Lambda throttling occurs, S3 events can be lost
- No retry mechanism - Direct S3-to-Lambda invocation doesn't have built-in retry capabilities
Why Option D is correct:
- Amazon SQS provides a buffer between S3 events and Lambda processing
- Messages are persisted in the queue until successfully processed
- Built-in retries - Lambda can retry failed messages
- Decouples producers and consumers - S3 events are sent to the queue, Lambda processes from the queue
- Handles traffic spikes - The queue absorbs bursts of uploads
Why other options are incorrect:
- Option A: Increasing timeout doesn't address the root cause of missed document processing
- Option B: Replication and staging add complexity without solving the event processing reliability issue
- Option C: Adding another Lambda function doesn't solve the fundamental problem of event loss during throttling
Best Practice: Using SQS as a buffer between event sources and Lambda functions is a common pattern for ensuring reliable message processing, especially when dealing with unpredictable traffic patterns like those caused by marketing campaigns.
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