- A
Set a transition between Build and Deploy stages that only allows successful builds.
Why wrong: Transitions control manual approval, not automatic failure handling.
- B
Add a manual approval action before Deploy stage.
Why wrong: Manual approval would still require human intervention and does not automatically fail.
- C
Add a CloudWatch Events rule to trigger a Lambda function that stops the pipeline on build failure.
Why wrong: This would add complexity and is not necessary.
- D
Configure the Build stage with 'On failure: Abort' in the pipeline settings.
Aborting the pipeline on failure stops further stages.
Question 205 of 1,616
AWS CodePipeline Stop on Build Failure
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 using AWS CodePipeline to automate CI/CD. The pipeline has a Source stage (CodeCommit), a Build stage (CodeBuild), and a Deploy stage (CodeDeploy). The Build stage runs tests and packages the application. The developer notices that the Deploy stage is triggered even when the Build stage fails. How can the developer prevent deployment on build failure?
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
✓
Configure the Build stage with 'On failure: Abort' in the pipeline settings.
Option D is correct because AWS CodePipeline allows you to configure the Build stage with an 'On failure: Abort' setting, which immediately stops the pipeline execution when the build fails, preventing the Deploy stage from being triggered. This setting is available in the pipeline's stage configuration and ensures that no subsequent stages run after a failure.
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.
- ✗
Set a transition between Build and Deploy stages that only allows successful builds.
Why it's wrong here
Transitions control manual approval, not automatic failure handling.
- ✗
Add a manual approval action before Deploy stage.
Why it's wrong here
Manual approval would still require human intervention and does not automatically fail.
- ✗
Add a CloudWatch Events rule to trigger a Lambda function that stops the pipeline on build failure.
Why it's wrong here
This would add complexity and is not necessary.
- ✓
Configure the Build stage with 'On failure: Abort' in the pipeline settings.
Why this is correct
Aborting the pipeline on failure stops further stages.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may overthink the solution by considering manual approvals or event-driven workarounds, when the simplest and most direct answer is a built-in pipeline configuration option that explicitly handles failure behavior.
Detailed technical explanation
How to think about this question
Under the hood, CodePipeline stages have an 'On failure' configuration that can be set to 'Abort' or 'Retry' (or 'Continue' in some contexts). When set to 'Abort', the pipeline execution transitions to a 'Failed' state immediately upon stage failure, and no further stages are executed. This is a native pipeline-level control that avoids the latency and complexity of external event-driven approaches, ensuring deterministic behavior in CI/CD workflows.
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 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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. 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.
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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: Configure the Build stage with 'On failure: Abort' in the pipeline settings. — Option D is correct because AWS CodePipeline allows you to configure the Build stage with an 'On failure: Abort' setting, which immediately stops the pipeline execution when the build fails, preventing the Deploy stage from being triggered. This setting is available in the pipeline's stage configuration and ensures that no subsequent stages run after a failure.
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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Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on DVA-C02
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is using AWS CodePipeline to automate its CI/CD pipeline. The pipeline has a build stage that uses AWS CodeBuild. The developer wants to run unit tests and only proceed to the deploy stage if the tests pass. Which configuration should the developer use to achieve this?
medium- A.Configure a manual approval step before the deploy stage.
- B.Configure Amazon CloudWatch alarms to stop the pipeline if tests fail.
- ✓ C.Configure the build stage to run tests and fail the build if tests fail; CodePipeline will automatically stop.
- D.Configure AWS Lambda to invoke a function that checks test results and manually stops the pipeline.
Why C: Option C is correct because AWS CodeBuild can be configured to run unit tests as part of the build phase. If any test fails, CodeBuild exits with a non-zero status, causing the build to fail. CodePipeline automatically stops the pipeline execution when a stage fails, preventing the deploy stage from running. This is the native and simplest way to gate deployment on test success.
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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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