SAP-C02 Continuous Improvement for Existing Solutions Practice Question
A company has an AWS Lambda function that processes messages from an SQS queue. The function is experiencing timeouts. Which TWO changes could help resolve the timeout issue? (Choose 2)
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 Lambda function timeout.
Increasing the Lambda function timeout (option C) allows the function more time to complete processing of SQS messages, directly addressing timeout errors. Increasing memory allocation (option D) also increases CPU and network throughput, which can speed up execution and prevent timeouts. Option A (increasing batch size) would process more messages per invocation, potentially worsening timeouts. Option B (enabling SQS encryption) does not affect timeout. Option E (decreasing visibility timeout) would cause messages to reappear in the queue sooner, which does not resolve the Lambda timeout issue.
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 batch size in the SQS event source mapping.
Why it's wrong here
Batch size affects number of messages per invocation, not timeout.
- ✗
Enable SQS queue encryption.
Why it's wrong here
Encryption does not affect timeout.
- ✓
Increase the Lambda function timeout.
Why this is correct
Allows longer execution.
- ✓
Increase the Lambda function memory allocation.
Why this is correct
More memory provides more CPU power, speeding up execution.
- ✗
Decrease the SQS visibility timeout.
Why it's wrong here
Decreasing visibility timeout may cause message reprocessing.
Visual reference
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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