SAP-C02 Continuous Improvement for Existing Solutions Practice Question
A company is using AWS CodePipeline with an S3 source action. After a successful deployment, the latest commit ID is stored as an environment variable in the CodeBuild project. The team notices that subsequent pipeline executions are not triggering when new commits are pushed to the S3 bucket. What is the most likely cause?
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
✓
The S3 bucket does not have an event notification configured to trigger the pipeline.
With an S3 source action in CodePipeline, you must configure an S3 event notification to trigger the pipeline when a new commit (object) is pushed. Without this notification, CodePipeline will not automatically start a new execution on changes. Option A is incorrect because CodePipeline does not poll S3; it relies on event notifications. Option B is incorrect because CodePipeline reads objects using its service role, not via bucket policy. Option D is incorrect because webhooks are used for external sources like GitHub, not for S3.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The CodePipeline service role lacks permissions to poll the S3 bucket.
Why it's wrong here
Polling is not used; the pipeline is triggered by events.
- ✗
The S3 bucket policy does not allow CodePipeline to read objects.
Why it's wrong here
The bucket policy controls access, not event triggering.
- ✓
The S3 bucket does not have an event notification configured to trigger the pipeline.
Why this is correct
Without event notification, CodePipeline won't automatically start on new commits.
- ✗
The CodePipeline webhook is misconfigured.
Why it's wrong here
S3 source actions don't use webhooks; they rely on event notifications.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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Written by Johnson Ajibi, MSc IT Security
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