- A
Use AWS CloudFormation change sets to review changes
Change sets allow you to preview changes before applying them.
- B
Enable versioning on the S3 bucket
Versioning allows rollback to previous versions if needed.
- C
Configure cross-account access for the pipeline
Why wrong: Cross-account access is not directly related to approval.
- D
Add a manual approval step before the production deployment
Manual approval ensures human review before production deployment.
- E
Encrypt the S3 bucket with AWS KMS
Why wrong: Encryption is a security measure but does not control deployment approval.
Question 1,500 of 1,616
How to Ensure Only Approved Changes Deploy to Production with CodePipeline
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 company is using AWS CodePipeline to automate its CI/CD pipeline. The pipeline has a source stage that pulls code from an Amazon S3 bucket. Which THREE steps should the developer take to ensure that only approved changes are deployed to production?
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
✓
Use AWS CloudFormation change sets to review changes
AWS CloudFormation change sets allow you to preview how proposed changes to a stack will impact existing resources before you execute them. By reviewing the change set, you can verify that only approved modifications (e.g., infrastructure updates) are applied, providing a safety check before deployment to production. This step ensures that unapproved or unintended changes are caught early in the pipeline.
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.
- ✓
Use AWS CloudFormation change sets to review changes
Why this is correct
Change sets allow you to preview changes before applying them.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Enable versioning on the S3 bucket
Why this is correct
Versioning allows rollback to previous versions if needed.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure cross-account access for the pipeline
Why it's wrong here
Cross-account access is not directly related to approval.
- ✓
Add a manual approval step before the production deployment
Why this is correct
Manual approval ensures human review before production deployment.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Encrypt the S3 bucket with AWS KMS
Why it's wrong here
Encryption is a security measure but does not control deployment approval.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse security controls (like encryption or cross-account access) with governance controls (like approval workflows), leading them to select options that protect data but do not enforce change approval.
Detailed technical explanation
How to think about this question
CloudFormation change sets generate a list of resource changes (e.g., additions, modifications, deletions) using the AWS CloudFormation API, which compares the current stack template with the proposed template. This allows developers to validate that the changes align with organizational policies before executing the stack update, reducing the risk of unintended infrastructure drift. In a CI/CD pipeline, integrating a manual approval step (Option D) after the change set review ensures that a human must explicitly approve the execution, combining automated validation with human oversight.
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: Use AWS CloudFormation change sets to review changes — AWS CloudFormation change sets allow you to preview how proposed changes to a stack will impact existing resources before you execute them. By reviewing the change set, you can verify that only approved modifications (e.g., infrastructure updates) are applied, providing a safety check before deployment to production. This step ensures that unapproved or unintended changes are caught early in the pipeline.
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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