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AWS DVA-C02 Drill: Lambda Concurrency Management - Avoiding Rate Limiting Errors

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 DVA-C02 candidates, the confusion often lies in how to appropriately control Lambda invocation concurrency to stay within third-party API limits. In production, this is about knowing exactly how Lambda’s concurrency settings interact with request throughput and error handling when calling external services. Let’s drill down.

The Certification Drill (Simulated Question)
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Scenario
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TechWave Solutions is developing a serverless application that integrates with an external payment processing API. This third-party API enforces a strict rate limit on requests, allowing only a certain number of concurrent requests per minute. To ensure stability, the lead developer must configure the AWS Lambda function so it does not exceed the API’s request limits and avoid receiving rate-limiting errors.

The Requirement:
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Configure the Lambda function to respect the third-party concurrency limits and prevent rate-limiting errors during Lambda invocation bursts.

The Options
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  • A) Set the reserved concurrency on the Lambda function to match the number of concurrent requests that the third-party service allows.

  • B) Decrease the memory that is allocated to the Lambda function.

  • C) Set the provisioned concurrency on the Lambda function to match the number of concurrent requests that the third-party service allows.

  • D) Increase the timeout value that is specified on the Lambda function.


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Correct Answer
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A) Set the reserved concurrency on the Lambda function to match the number of concurrent requests that the third-party service allows.

Quick Insight: The Developer’s Imperative
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For a Lead Developer, the key is controlling simultaneous invocations to avoid throttling on the external API. Reserved concurrency on Lambda acts as a hard limit on concurrent executions, directly helping you enforce API limits without impacting memory size or timeout values.

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 A

The Winning Logic
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Setting reserved concurrency on the Lambda function caps the maximum number of concurrent executions. This means if the third-party API only allows a certain number of requests simultaneously, you restrict Lambda to never exceed that concurrency level, thus preventing rate-limiting errors from the external service.

  • Reserved concurrency guarantees that your function does not exceed the configured concurrent execution count.
  • This is a direct and explicit way to throttle your Lambda function in line with the API’s capacity.
  • It protects both your Lambda and downstream dependencies, as excess invocation requests will be throttled at the Lambda layer and can be retried gracefully.

The Trap (Distractor Analysis):
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  • Why not B (Decrease memory)?
    Reducing memory does not reduce concurrency. It might increase invocation duration (because less CPU is allocated), which could make rate limiting worse due to longer executions.

  • Why not C (Set provisioned concurrency)?
    Provisioned concurrency pre-warms instances and ensures low latency but does not limit concurrent requests beyond what the reserved concurrency setting enforces. Provisioned concurrency controls cold start delays, not concurrency throttling.

  • Why not D (Increase timeout)?
    Increasing the timeout affects how long a Lambda invocation runs but does nothing to prevent too many concurrent requests. It might actually exacerbate the problem by allowing hanging executions.


The Technical Blueprint
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# Example CLI command to set reserved concurrency to 10 (matching third-party concurrency limit):
aws lambda put-function-concurrency \
    --function-name PaymentProcessorLambda \
    --reserved-concurrent-executions 10

The Comparative Analysis
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Option API Complexity Performance Impact Use Case
A Low Controls concurrency Cap concurrent Lambda invocations directly
B None May increase duration Not effective for limiting concurrency
C Moderate (provisioned concurrency config) Improves cold start latency but does not limit concurrency Ensures consistent startup latency
D None Longer running invocations Does not address throttle, may worsen issue

Real-World Application (Practitioner Insight)
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Exam Rule
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For the exam, always pick reserved concurrency when you see an option about limiting Lambda invocations to avoid overwhelming downstream services.

Real World
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In real-world production, you might combine reserved concurrency with intelligent retry/backoff logic and throttling queues (like SQS) for better control and resilience.


(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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