- A
Specify the S3 object version in the template and update the version number in the template when code changes.
Changing the version ID causes CloudFormation to detect a modification and update the function.
- B
Use the AWS::Lambda::Version resource to create a new version.
Why wrong: This does not update the function code unless the source changes.
- C
Include the S3 bucket and key as template parameters and update the stack with a new key when code changes.
Why wrong: Changing parameters may not trigger an update on the Lambda resource if the logical ID remains the same.
- D
Use a custom resource backed by a Lambda function that polls S3 for changes.
Why wrong: This adds unnecessary complexity.
Question 1,582 of 1,616
CloudFormation Lambda Code Update on S3 Change
This DVA-C02 practice question tests your understanding of development with aws services. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 deploying an application using AWS CloudFormation. The template includes an AWS::Lambda::Function resource. The developer wants to ensure that the Lambda function's code is automatically updated when the source code in S3 changes. Which approach should the developer use?
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
✓
Specify the S3 object version in the template and update the version number in the template when code changes.
Option A is correct because AWS CloudFormation only detects changes to an AWS::Lambda::Function resource's Code property when the S3 object version changes. By explicitly specifying the S3ObjectVersion in the template and incrementing it after each code upload, CloudFormation will trigger an update to the Lambda function, ensuring the latest code is deployed.
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.
- ✓
Specify the S3 object version in the template and update the version number in the template when code changes.
Why this is correct
Changing the version ID causes CloudFormation to detect a modification and update the function.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use the AWS::Lambda::Version resource to create a new version.
Why it's wrong here
This does not update the function code unless the source changes.
- ✗
Include the S3 bucket and key as template parameters and update the stack with a new key when code changes.
Why it's wrong here
Changing parameters may not trigger an update on the Lambda resource if the logical ID remains the same.
- ✗
Use a custom resource backed by a Lambda function that polls S3 for changes.
Why it's wrong here
This adds unnecessary complexity.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume changing the S3 key or bucket is sufficient to trigger an update, but CloudFormation relies on the S3 object version to detect code changes, not the key or bucket alone.
Detailed technical explanation
How to think about this question
Under the hood, CloudFormation uses the S3 object version as a unique identifier for the Lambda function's code. When the S3ObjectVersion is specified, CloudFormation compares it with the previous version; if different, it triggers a stack update. Without the version, CloudFormation may not detect changes even if the object content is updated, leading to stale code deployments. This behavior is critical in CI/CD pipelines where code is frequently updated in S3.
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.
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: Specify the S3 object version in the template and update the version number in the template when code changes. — Option A is correct because AWS CloudFormation only detects changes to an AWS::Lambda::Function resource's Code property when the S3 object version changes. By explicitly specifying the S3ObjectVersion in the template and incrementing it after each code upload, CloudFormation will trigger an update to the Lambda function, ensuring the latest code is deployed.
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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