Question 853 of 1,750
SDLC AutomationmediumMultiple ChoiceObjective-mapped

Enabling AWS CodePipeline to Trigger on Feature Branches Using Webhooks

This DOP-C02 practice question tests your understanding of sdlc automation. 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 company uses AWS CodePipeline with a multi-branch strategy. Developers push to feature branches, which should trigger a pipeline that runs unit tests and then deploys to a staging environment. However, the pipeline only triggers on the main branch. What should be done to enable pipeline execution for feature branches?

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

Update the source stage to use 'Webhook' as the change detection method and specify a branch pattern.

Option D is correct because AWS CodePipeline can use a webhook (e.g., from GitHub or CodeCommit) to detect changes on any branch. By configuring the source stage with 'Webhook' as the change detection method and specifying a branch pattern (e.g., 'feature/*'), the pipeline will automatically trigger on pushes to matching feature branches, not just the main branch.

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.

  • Change the source provider from Amazon S3 to AWS CodeCommit.

    Why it's wrong here

    Changing the source provider does not enable branch-specific triggers.

  • Increase the polling frequency in the source stage to detect new branches.

    Why it's wrong here

    Polling is inefficient and does not inherently filter by branch.

  • Create a separate pipeline for each feature branch.

    Why it's wrong here

    This is unnecessary and increases management overhead.

  • Update the source stage to use 'Webhook' as the change detection method and specify a branch pattern.

    Why this is correct

    Webhooks with branch patterns trigger pipelines on pushes to matching branches.

    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 often assume polling or changing the source provider will automatically detect new branches, but AWS CodePipeline's polling only monitors the configured branch reference (e.g., 'refs/heads/main'), not all branches, and changing the source provider does not alter this behavior.

Detailed technical explanation

How to think about this question

Under the hood, CodePipeline's webhook integration uses an HTTP POST request from the source repository (e.g., GitHub push event) to the pipeline's webhook URL, which includes the branch name in the payload. The pipeline then evaluates the branch against the configured pattern (e.g., using glob patterns like 'feature/*' or regex). This avoids the need for periodic polling, reducing latency and API costs. A real-world scenario is a team with dozens of feature branches; a single pipeline with a webhook and branch filter ensures each push triggers the same pipeline stages (unit tests, staging deploy) without manual pipeline creation.

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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

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: Update the source stage to use 'Webhook' as the change detection method and specify a branch pattern. — Option D is correct because AWS CodePipeline can use a webhook (e.g., from GitHub or CodeCommit) to detect changes on any branch. By configuring the source stage with 'Webhook' as the change detection method and specifying a branch pattern (e.g., 'feature/*'), the pipeline will automatically trigger on pushes to matching feature branches, not just the main branch.

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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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.