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Continuous Improvement for Existing SolutionseasyMultiple ChoiceObjective-mapped

SAP-C02 Continuous Improvement for Existing Solutions Practice Question

A company uses AWS Lambda to process events from an SQS queue. The Lambda function has a reserved concurrency of 5. During peak hours, messages are being backed up in the queue. The function's duration is well within the 15-minute limit. What is the fastest way to increase throughput?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Increase the reserved concurrency to 20.

Increasing the reserved concurrency to 20 allows more Lambda functions to run simultaneously, enabling more messages to be processed in parallel. This is the fastest way to increase throughput because it directly increases the number of concurrent executions handling messages from the SQS queue. Option A is incorrect because Lambda does not have a configurable maximum thread count. Option C is incorrect because the SQS batch size is limited to a maximum of 10, not 100. Option D is incorrect because creating additional queues would require significant application changes and does not directly increase the processing capacity of the existing Lambda function.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Increase the function's maximum thread count.

    Why it's wrong here

    Lambda does not expose thread count configuration.

  • Increase the reserved concurrency to 20.

    Why this is correct

    More concurrency allows more messages to be processed in parallel.

  • Create additional SQS queues and distribute messages.

    Why it's wrong here

    This adds complexity and requires code changes; not the fastest fix.

  • Increase the SQS batch size to 100.

    Why it's wrong here

    SQS batch size max is 10 for Lambda.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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