- A
The CodeDeploy deployment group is associated with a different Auto Scaling group than the one serving traffic.
The deployment goes to the wrong instances, so the live instances are not updated.
- B
The load balancer's target group is not pointing to the correct instances.
Why wrong: This would cause the application to be unreachable, not serve the old version.
- C
The build artifact in the Source stage is corrupted.
Why wrong: If corrupted, the pipeline would likely fail in the Build or Deploy stage.
- D
The CodeBuild stage failed silently and did not produce a new artifact.
Why wrong: A failed CodeBuild stage would cause the pipeline to stop before the Deploy stage.
Question 1,384 of 1,616
CodePipeline Deploy Stage Mismatch
This DVA-C02 practice question tests your understanding of deployment. 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 team is using AWS CodePipeline with multiple stages: Source, Build, Test, and Deploy. The Deploy stage uses AWS CodeDeploy to deploy to an EC2 Auto Scaling group. The pipeline runs successfully, but the application still serves the old version. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
✓
The CodeDeploy deployment group is associated with a different Auto Scaling group than the one serving traffic.
The most likely cause is that the CodeDeploy deployment group is associated with a different Auto Scaling group than the one actually serving traffic. Even though the pipeline runs successfully, CodeDeploy deploys the new application revision only to instances in the Auto Scaling group linked to its deployment group. If the deployment group targets a different Auto Scaling group (e.g., a staging group) while the live traffic is served by another group (e.g., production), the old version remains on the production instances.
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.
- ✓
The CodeDeploy deployment group is associated with a different Auto Scaling group than the one serving traffic.
Why this is correct
The deployment goes to the wrong instances, so the live instances are not updated.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The load balancer's target group is not pointing to the correct instances.
Why it's wrong here
This would cause the application to be unreachable, not serve the old version.
- ✗
The build artifact in the Source stage is corrupted.
Why it's wrong here
If corrupted, the pipeline would likely fail in the Build or Deploy stage.
- ✗
The CodeBuild stage failed silently and did not produce a new artifact.
Why it's wrong here
A failed CodeBuild stage would cause the pipeline to stop before the Deploy stage.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume a successful pipeline run guarantees the new version is live, overlooking that CodeDeploy's deployment group configuration determines which Auto Scaling group receives the update.
Detailed technical explanation
How to think about this question
Under the hood, CodeDeploy uses a deployment group to define the deployment target (e.g., EC2 instances, Auto Scaling groups, or Lambda functions). When deploying to an Auto Scaling group, CodeDeploy replaces instances in that group with the new revision. If the deployment group is misconfigured to point to a different Auto Scaling group, the production group remains untouched. This is a common misconfiguration when teams use multiple Auto Scaling groups for blue/green deployments or separate environments.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DVA-C02 question test?
Deployment — This question tests Deployment — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The CodeDeploy deployment group is associated with a different Auto Scaling group than the one serving traffic. — The most likely cause is that the CodeDeploy deployment group is associated with a different Auto Scaling group than the one actually serving traffic. Even though the pipeline runs successfully, CodeDeploy deploys the new application revision only to instances in the Auto Scaling group linked to its deployment group. If the deployment group targets a different Auto Scaling group (e.g., a staging group) while the live traffic is served by another group (e.g., production), the old version remains on the production instances.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
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