- A
No action is needed; CodePipeline automatically stops on stage failure
CodePipeline halts execution when a stage fails and does not proceed to the next stage unless manually retried.
- B
Add a manual approval step before Prod Deploy
Why wrong: Manual approval is for requiring human intervention, but failure already blocks progression, so this is unnecessary.
- C
Disable the transition from Staging Test to Prod Deploy
Why wrong: Disabling a transition prevents automatic progression, but a failed stage already stops progression. This would only be needed if you want the stage to always require manual approval regardless of outcome.
- D
Configure the pipeline execution mode to 'Superseded'
Why wrong: Execution mode controls whether in-progress executions are superseded by new ones, not failure handling.
Quick Answer
The answer is that no action is needed because CodePipeline’s default behavior is to stop on stage failure. When a stage like Staging Test fails, the pipeline automatically halts execution and transitions to a Failed status, preventing any subsequent stages—including Prod Deploy—from running. This is a fundamental aspect of CodePipeline’s execution model: each stage must succeed for the pipeline to proceed, and failure at any point stops the entire workflow without requiring manual intervention or additional configuration. On the AWS Certified Developer Associate DVA-C02 exam, this concept tests your understanding of pipeline state transitions and the default failure handling mechanism. A common trap is assuming you need to add a manual approval or a conditional rule to stop the pipeline, but the default behavior already does this. Remember the memory tip: “Fail and halt—no extra salt.”
DVA-C02 Deployment Practice Question
This DVA-C02 practice question tests your understanding of deployment. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. A key principle to apply: codePipeline automatically stops execution when a stage fails.. 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 using AWS CodePipeline to deploy a web application. The pipeline has stages: Source, Build, Staging Deploy, Staging Test, and Prod Deploy. The developer wants to ensure that if the Staging Test stage fails, the pipeline automatically stops and does not proceed to Prod Deploy. Which action should the developer take?
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
No action is needed; CodePipeline automatically stops on stage failure
Option A is correct because AWS CodePipeline's default behavior is to stop execution when a stage fails, preventing the pipeline from proceeding to subsequent stages. When the Staging Test stage fails, the pipeline transitions to a 'Failed' status and does not automatically continue to Prod Deploy. No additional configuration is required for this behavior.
Key principle: CodePipeline automatically stops execution when a stage fails.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
No action is needed; CodePipeline automatically stops on stage failure
Why this is correct
CodePipeline halts execution when a stage fails and does not proceed to the next stage unless manually retried.
Related concept
CodePipeline automatically stops execution when a stage fails.
- ✗
Add a manual approval step before Prod Deploy
Why it's wrong here
Manual approval is for requiring human intervention, but failure already blocks progression, so this is unnecessary.
- ✗
Disable the transition from Staging Test to Prod Deploy
Why it's wrong here
Disabling a transition prevents automatic progression, but a failed stage already stops progression. This would only be needed if you want the stage to always require manual approval regardless of outcome.
- ✗
Configure the pipeline execution mode to 'Superseded'
Why it's wrong here
Execution mode controls whether in-progress executions are superseded by new ones, not failure handling.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may overthink the solution and assume additional configuration is needed, when in fact CodePipeline's default behavior already stops on stage failure, making options like manual approval or disabling transitions unnecessary.
Detailed technical explanation
How to think about this question
In AWS CodePipeline, each stage has a defined set of actions, and the pipeline evaluates the result of each action. If any action in a stage fails, the entire stage is marked as failed, and the pipeline stops execution by default. This behavior is governed by the pipeline's state machine, which transitions to 'Failed' and does not trigger the next stage's transition. For custom failure handling, developers can use 'on failure' conditions or retry logic, but the default is to halt.
KKey Concepts to Remember
- CodePipeline automatically stops execution when a stage fails.
- A failed stage prevents the pipeline from transitioning to subsequent stages.
- Manual intervention (e.g., retrying the stage) is required to proceed after a failure.
- This default behavior protects downstream environments from faulty deployments.
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
CodePipeline automatically stops execution when a stage fails.
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. CodePipeline automatically stops execution when a stage fails. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Review codePipeline automatically stops execution when a stage fails., then practise related DVA-C02 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this DVA-C02 question test?
Deployment — This question tests Deployment — CodePipeline automatically stops execution when a stage fails..
What is the correct answer to this question?
The correct answer is: No action is needed; CodePipeline automatically stops on stage failure — Option A is correct because AWS CodePipeline's default behavior is to stop execution when a stage fails, preventing the pipeline from proceeding to subsequent stages. When the Staging Test stage fails, the pipeline transitions to a 'Failed' status and does not automatically continue to Prod Deploy. No additional configuration is required for this behavior.
What should I do if I get this DVA-C02 question wrong?
Review codePipeline automatically stops execution when a stage fails., then practise related DVA-C02 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
CodePipeline automatically stops execution when a stage fails.
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Last reviewed: Jun 11, 2026
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