- A
Add an approval action in the pipeline stage before the deploy action.
Manual approval action pauses the pipeline; deployment proceeds only after approval.
- B
Use a Lambda function to check a parameter in Parameter Store.
Why wrong: This is not a built-in manual approval mechanism.
- C
Configure a CloudWatch Events rule to trigger deployment after a manual event.
Why wrong: This bypasses pipeline integration.
- D
Set the deploy action to manual invocation only.
Why wrong: Actions in CodePipeline are automated; manual invocation would require re-running the pipeline.
Question 1,408 of 1,750
DOP-C02 SDLC Automation Practice Question
This DOP-C02 practice question tests your understanding of sdlc automation. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 development team uses AWS CodePipeline to orchestrate builds and deployments. They want to automatically deploy to a staging environment only if a manual approval step is granted. Which configuration should they use?
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
✓
Add an approval action in the pipeline stage before the deploy action.
Option A is correct because AWS CodePipeline supports a manual approval action that pauses the pipeline at a specified stage until an authorized user approves or rejects the deployment. By placing the approval action in the stage before the deploy action, the pipeline will only proceed to the staging deployment after the manual approval is granted, satisfying the requirement exactly.
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 an approval action in the pipeline stage before the deploy action.
Why this is correct
Manual approval action pauses the pipeline; deployment proceeds only after approval.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use a Lambda function to check a parameter in Parameter Store.
Why it's wrong here
This is not a built-in manual approval mechanism.
- ✗
Configure a CloudWatch Events rule to trigger deployment after a manual event.
Why it's wrong here
This bypasses pipeline integration.
- ✗
Set the deploy action to manual invocation only.
Why it's wrong here
Actions in CodePipeline are automated; manual invocation would require re-running the pipeline.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse manual approval with manual invocation, not realizing that a manual approval action pauses the pipeline for a decision, whereas manual invocation means the action is never automatically triggered by the pipeline.
Detailed technical explanation
How to think about this question
Under the hood, a CodePipeline approval action uses Amazon SNS to send notifications to approvers and creates a pipeline execution token that must be either approved or rejected via the AWS Console, CLI, or API. The pipeline remains in a 'waiting' state until the token is resolved, ensuring no subsequent actions execute. In a real-world scenario, this is critical for compliance-driven deployments where a change advisory board must sign off before code reaches a production-like staging environment.
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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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: Add an approval action in the pipeline stage before the deploy action. — Option A is correct because AWS CodePipeline supports a manual approval action that pauses the pipeline at a specified stage until an authorized user approves or rejects the deployment. By placing the approval action in the stage before the deploy action, the pipeline will only proceed to the staging deployment after the manual approval is granted, satisfying the requirement exactly.
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.
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Last reviewed: Jul 4, 2026
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