- A
Increase the Lambda function timeout and memory allocation to accommodate larger images.
Increasing timeout and memory provides more execution time and CPU power to process large images within the Lambda limits.
- B
Limit the S3 event notification to only trigger for images smaller than 5 MB.
Why wrong: This would ignore large images, not process them. The requirement is to handle large images.
- C
Refactor the Lambda function to use multi-threading for parallel processing of image chunks.
Why wrong: Lambda functions are single-threaded by default; multi-threading would not help with a single large image and could cause further issues.
- D
Use AWS Step Functions to orchestrate the image processing in smaller steps.
Why wrong: Step Functions adds orchestration but does not directly solve the timeout issue; the Lambda function still needs sufficient timeout and memory.
Fix Lambda Timeout for Large Images
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 developer is building a serverless application using AWS Lambda to process images uploaded to an S3 bucket. The Lambda function needs to resize the image and store the result in another S3 bucket. The developer notices that the Lambda function fails intermittently with timeout errors for large images. What is the MOST efficient solution 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
Increase the Lambda function timeout and memory allocation to accommodate larger images.
Increasing the Lambda function timeout and memory allocation directly addresses the root cause of the failure: large images require more processing time and memory. Lambda's CPU and I/O throughput scale proportionally with allocated memory, so raising both parameters provides the necessary resources to complete the resize operation within the function's execution environment.
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 Lambda function timeout and memory allocation to accommodate larger images.
Why this is correct
Increasing timeout and memory provides more execution time and CPU power to process large images within the Lambda limits.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Limit the S3 event notification to only trigger for images smaller than 5 MB.
Why it's wrong here
This would ignore large images, not process them. The requirement is to handle large images.
- ✗
Refactor the Lambda function to use multi-threading for parallel processing of image chunks.
Why it's wrong here
Lambda functions are single-threaded by default; multi-threading would not help with a single large image and could cause further issues.
- ✗
Use AWS Step Functions to orchestrate the image processing in smaller steps.
Why it's wrong here
Step Functions adds orchestration but does not directly solve the timeout issue; the Lambda function still needs sufficient timeout and memory.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often overcomplicate the solution by considering orchestration or parallel processing (Options C and D), when the simplest and most efficient fix is to adjust the Lambda function's resource limits, which directly control execution time and processing capacity.
Detailed technical explanation
How to think about this question
Lambda allocates CPU power and network bandwidth proportionally to the configured memory, up to 10,240 MB. For image processing, increasing memory from 128 MB to 1,024 MB can reduce execution time by 3-5x due to better CPU performance, effectively mitigating timeouts. The maximum timeout for Lambda is 15 minutes, so for extremely large images, a combination of increased memory and timeout (up to 900 seconds) is the most efficient single-function fix without introducing additional services.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Visual reference
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
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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: Increase the Lambda function timeout and memory allocation to accommodate larger images. — Increasing the Lambda function timeout and memory allocation directly addresses the root cause of the failure: large images require more processing time and memory. Lambda's CPU and I/O throughput scale proportionally with allocated memory, so raising both parameters provides the necessary resources to complete the resize operation within the function's execution environment.
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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