- A
Increase the SQS queue's visibility timeout.
Why wrong: Visibility timeout affects message processing retries, not Lambda timeout.
- B
Increase the maximum message size in the SQS queue.
Why wrong: SQS maximum message size is fixed at 256 KB.
- C
Decrease the SQS batch size in the Lambda trigger.
Why wrong: Smaller batch size may reduce total processing time but individual message timeout remains.
- D
Split the large messages into smaller messages before sending to SQS.
Smaller messages reduce processing time per invocation.
Question 1,338 of 1,616
Resolving Lambda Timeout by Splitting Large SQS Messages
This DVA-C02 practice question tests your understanding of development with aws services. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company has an AWS Lambda function that processes messages from an Amazon SQS queue. The function is triggered by the SQS queue. Recently, the function started failing due to timeout errors when processing large messages. The function's timeout is set to the maximum of 15 minutes. What should a developer do to resolve this issue?
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
✓
Split the large messages into smaller messages before sending to SQS.
The correct answer is D because the Lambda function's timeout is already at the maximum of 15 minutes, so increasing it further is not possible. Splitting large messages into smaller ones reduces the processing time per invocation, allowing the function to complete within the timeout limit. This approach leverages the SQS queue's ability to handle multiple smaller messages, which can be processed sequentially or in parallel without exceeding the Lambda timeout.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 SQS queue's visibility timeout.
Why it's wrong here
Visibility timeout affects message processing retries, not Lambda timeout.
- ✗
Increase the maximum message size in the SQS queue.
Why it's wrong here
SQS maximum message size is fixed at 256 KB.
- ✗
Decrease the SQS batch size in the Lambda trigger.
Why it's wrong here
Smaller batch size may reduce total processing time but individual message timeout remains.
- ✓
Split the large messages into smaller messages before sending to SQS.
Why this is correct
Smaller messages reduce processing time per invocation.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume increasing the visibility timeout (Option A) will give the Lambda function more time to process, but they overlook that the Lambda timeout is a separate, hard limit that cannot be extended beyond 15 minutes, and visibility timeout only controls message redelivery, not execution duration.
Detailed technical explanation
How to think about this question
Lambda functions have a hard limit of 15 minutes (900 seconds) for execution timeout, as defined by the AWS Lambda service quotas. When processing large messages, the function may exceed this limit due to CPU-bound or I/O-bound operations, such as parsing large payloads or making external API calls. Splitting messages into smaller chunks (e.g., using SQS message grouping or a separate chunking service) allows each Lambda invocation to complete within the timeout, and the overall workload can be distributed across multiple invocations, improving throughput and reliability.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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 |
What to study next
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FAQ
Questions learners often ask
What does this DVA-C02 question test?
Development with AWS Services — This question tests Development with AWS Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Split the large messages into smaller messages before sending to SQS. — The correct answer is D because the Lambda function's timeout is already at the maximum of 15 minutes, so increasing it further is not possible. Splitting large messages into smaller ones reduces the processing time per invocation, allowing the function to complete within the timeout limit. This approach leverages the SQS queue's ability to handle multiple smaller messages, which can be processed sequentially or in parallel without exceeding the Lambda timeout.
What should I do if I get this DVA-C02 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
This DVA-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DVA-C02 exam.
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