- A
Add a manual approval action in the test stage that requires a developer to confirm success
Why wrong: Manual approval is an extra step but not necessary for automatic pass/fail transition.
- B
Set the test stage to retry on failure three times before allowing deploy to proceed
Why wrong: Retry does not change the outcome; if all retries fail, the stage fails.
- C
No additional configuration needed; the pipeline will not proceed to deploy if the test stage fails
By default, CodePipeline stops execution if a stage fails, so deploy will not run.
- D
Configure the deploy stage to skip if the test stage fails using a condition
Why wrong: CodePipeline does not support conditional skipping; it stops on failure.
Quick Answer
The answer is that no additional configuration is needed because CodePipeline stage transition on failure is already handled by default behavior. In AWS CodePipeline, each stage has a status of Succeeded, Failed, or InProgress, and the pipeline will only transition to the next stage if the current stage completes with a status of Succeeded. If the test stage fails, the pipeline automatically stops and does not proceed to the deploy stage, so no extra settings are required. On the AWS Certified DevOps Engineer Professional DOP-C02 exam, this concept tests your understanding of default pipeline mechanics versus common misconceptions about needing manual approval gates or failure hooks for basic stage gating. A frequent trap is overcomplicating the answer by suggesting a separate condition or rule, when in reality the pipeline’s inherent sequential execution handles it. Memory tip: think “fail stops the flow” — a failed stage is a hard stop, no extra config needed.
DOP-C02 SDLC Automation Practice Question
This DOP-C02 practice question tests your understanding of sdlc automation. 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 company uses AWS CodePipeline to orchestrate a multi-stage deployment. The pipeline has a source, build, test, and deploy stage. The test stage runs integration tests against a temporary environment. The team wants to ensure that the deploy stage only runs if the test stage succeeds. What configuration is needed?
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 additional configuration needed; the pipeline will not proceed to deploy if the test stage fails
In AWS CodePipeline, each stage has a status (Succeeded, Failed, InProgress, etc.). By default, the pipeline transitions to the next stage only if the current stage completes with a status of Succeeded. If the test stage fails, the pipeline stops and does not proceed to the deploy stage. Therefore, no additional configuration is required to enforce this behavior.
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.
- ✗
Add a manual approval action in the test stage that requires a developer to confirm success
Why it's wrong here
Manual approval is an extra step but not necessary for automatic pass/fail transition.
- ✗
Set the test stage to retry on failure three times before allowing deploy to proceed
Why it's wrong here
Retry does not change the outcome; if all retries fail, the stage fails.
- ✓
No additional configuration needed; the pipeline will not proceed to deploy if the test stage fails
Why this is correct
By default, CodePipeline stops execution if a stage fails, so deploy will not run.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure the deploy stage to skip if the test stage fails using a condition
Why it's wrong here
CodePipeline does not support conditional skipping; it stops on failure.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may overthink the need for explicit failure handling, not realizing that CodePipeline's default behavior already prevents progression on failure, making options like adding a condition or manual approval unnecessary.
Detailed technical explanation
How to think about this question
Under the hood, CodePipeline uses a state machine to manage stage transitions. Each stage's execution status is evaluated after all actions in that stage complete. If any action in a stage fails, the entire stage is marked as Failed, and the pipeline execution stops unless a failure condition (like a manual approval or a retry) is configured to override this. This default behavior ensures that downstream stages are not executed unless all upstream stages succeed, which is a fundamental principle of CI/CD pipelines.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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SDLC Automation — study guide chapter
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FAQ
Questions learners often ask
What does this DOP-C02 question test?
SDLC Automation — This question tests SDLC Automation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: No additional configuration needed; the pipeline will not proceed to deploy if the test stage fails — In AWS CodePipeline, each stage has a status (Succeeded, Failed, InProgress, etc.). By default, the pipeline transitions to the next stage only if the current stage completes with a status of Succeeded. If the test stage fails, the pipeline stops and does not proceed to the deploy stage. Therefore, no additional configuration is required to enforce this behavior.
What should I do if I get this DOP-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.
About these practice questions
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Last reviewed: Jun 24, 2026
This DOP-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 DOP-C02 exam.
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