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AWS DVA-C02 Drill: Lambda Event Handling - Understanding S3 Event Retries on Timeout

Jeff Taakey
Author
Jeff Taakey
21+ Year Enterprise Architect | AWS SAA/SAP & Multi-Cloud Expert.

Jeff’s Note
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Unlike generic exam dumps, ADH analyzes this scenario through the lens of a Real-World Lead Developer.

For AWS DVA-C02 candidates, the confusion often lies in how asynchronous event sources such as S3 trigger Lambda retries and what happens on timeout exceptions. In production, this is about knowing exactly whether Lambda automatically retries, discards, or routes failed events to a dead letter queue when configured with default settings. Let’s drill down.

The Certification Drill (Simulated Question)
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Scenario
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At NextGenForms, an innovative SaaS company specializing in digital document workflows, users upload scanned forms to a central Amazon S3 bucket via a responsive web interface. Upon each new file arrival, an AWS Lambda function asynchronously processes the documents—extracting metadata and indexing them for search. Recently, the development team noticed that some Lambda invocations intermittently time out under heavier workloads.

By default, the Lambda function is deployed with no special error handling or dead letter queue. The team wants to understand what happens to the incoming S3 event notification when their Lambda execution times out before completing processing.

The Requirement:
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Determine the behavior of the S3 bucket event notification that triggers the Lambda function when the Lambda times out, given default configuration and no custom error handling settings.

The Options
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  • A) A notification about the failed event is automatically sent as an email through Amazon SNS.
  • B) The S3 event is sent to the default Dead Letter Queue configured for the Lambda function.
  • C) The S3 event is retried by Lambda multiple times until processing succeeds.
  • D) The event is discarded by Lambda after two retry attempts and not processed further.

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Correct Answer
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D) The event is discarded by Lambda after two retry attempts and not processed further.

Quick Insight: The Developer Imperative
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When Lambda is invoked asynchronously by S3 and the function times out, Lambda automatically retries the invocation twice. If the function still fails, the event is dropped by default unless you configure a Dead Letter Queue (DLQ) or use asynchronous invocation destinations.

Content Locked: The Expert Analysis
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You’ve identified the answer. But do you know the implementation details that separate a Junior from a Senior?


The Expert’s Analysis
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Correct Answer
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Option D

The Winning Logic
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When S3 triggers a Lambda function asynchronously, Lambda handles retry attempts automatically. Specifically, Lambda retries twice upon failure (including timeouts), making for up to three total invocation attempts. If after these retries the function continues to fail, Lambda silently discards the event unless custom error handling is configured.

  • Lambda does NOT send failure notifications directly via SNS unless you explicitly code this or set up destinations.
  • There is no “default Dead Letter Queue” automatically set for Lambda functions; DLQs must be explicitly configured.
  • Lambda retries exactly twice after the initial failure for asynchronous invocation events, not indefinitely.
  • Once all retries are exhausted without success, the event disappears from the processing pipeline, meaning it’s dropped.

The Trap (Distractor Analysis):
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  • Why not A? SNS notification for failure is not automatic; this requires explicit setup of Lambda Destinations or SNS-based error handling.
  • Why not B? Lambda functions do not have a default DLQ enabled; it must be manually attached.
  • Why not C? Lambda retries twice and then stops; it does not retry infinitely until success.

The Technical Blueprint
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Developer-Focused Code Snippet (CLI to configure DLQ)
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Here’s how you’d explicitly add a Dead Letter Queue to your Lambda function to capture failed asynchronous events:

aws lambda update-function-configuration \
  --function-name ProcessDocumentFunction \
  --dead-letter-config TargetArn=arn:aws:sqs:us-east-1:123456789012:MyDeadLetterQueue

By adding this config, failed events after retries will be sent to the SQS queue instead of being discarded.


The Comparative Analysis
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Option API Complexity Performance Impact Use Case / Behavior
A Requires manual setup Low SNS notifications require explicit destinations configured on Lambda
B Requires manual DLQ config No default DLQ; requires extra setup Captures failed events for later processing
C No retries beyond 2 Possible prolonged failure Misconception: Lambda retries twice only, not infinite
D Default behavior Potential event loss Lambda discards event after 2 retries by default

Real-World Application (Practitioner Insight)
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Exam Rule
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“For the exam, always remember that Lambda asynchronous invocations have two retries by default, and events are discarded unless you configure DLQs or destinations.”

Real World
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“In production, we rarely allow event loss—DLQs or Lambda Destinations are essential for reliability, error tracking, and alerting.”


(CTA) Stop Guessing, Start Mastering
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Disclaimer

This is a study note based on simulated scenarios for the AWS DVA-C02 exam.

The DevPro Network: Mission and Founder

A 21-Year Tech Leadership Journey

Jeff Taakey has driven complex systems for over two decades, serving in pivotal roles as an Architect, Technical Director, and startup Co-founder/CTO.

He holds both an MBA degree and a Computer Science Master's degree from an English-speaking university in Hong Kong. His expertise is further backed by multiple international certifications including TOGAF, PMP, ITIL, and AWS SAA.

His experience spans diverse sectors and includes leading large, multidisciplinary teams (up to 86 people). He has also served as a Development Team Lead while cooperating with global teams spanning North America, Europe, and Asia-Pacific. He has spearheaded the design of an industry cloud platform. This work was often conducted within global Fortune 500 environments like IBM, Citi and Panasonic.

Following a recent Master’s degree from an English-speaking university in Hong Kong, he launched this platform to share advanced, practical technical knowledge with the global developer community.


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