- A
Ensure that the S3 bucket and the Elastic Beanstalk environment are in the same AWS region.
Cross-region deployments require additional configuration.
- B
Make sure the source artifact is a valid zip file containing the application code and environment configuration.
Why wrong: Elastic Beanstalk accepts zip files.
- C
Confirm that the S3 object key does not contain special characters.
Why wrong: S3 keys can contain special characters.
- D
Verify that the S3 bucket name is exactly as specified in the pipeline.
Why wrong: Bucket name is likely correct.
- E
Check that the IAM role for CodePipeline has permissions to read from the S3 bucket and deploy to Elastic Beanstalk.
Permissions are a common cause.
Question 670 of 1,616
Fixing 'Version Not Found' Error in CodePipeline Elastic Beanstalk Deploy
This DVA-C02 practice question tests your understanding of deployment. 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 deployments. The pipeline has a Source stage using Amazon S3 and a Deploy stage using AWS Elastic Beanstalk. The developer notices that the pipeline fails at the Deploy stage with the error 'The deployment failed because the version of the application to be deployed could not be found.' Which TWO actions should the developer take to resolve this issue?
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
✓
Ensure that the S3 bucket and the Elastic Beanstalk environment are in the same AWS region.
Option A is correct because CodePipeline and Elastic Beanstalk must be in the same AWS region for the pipeline to locate the application version. When the Source stage stores the artifact in an S3 bucket in a different region, the Deploy stage cannot find the version in Elastic Beanstalk, which expects the artifact to be in the same region. This cross-region mismatch causes the 'version of the application to be deployed could not be found' error. Option E is also correct because the IAM role for CodePipeline must have permissions to read from the S3 bucket and to deploy to Elastic Beanstalk. Without these permissions, the pipeline cannot access the artifact or perform the deployment, leading to the 'could not be found' error.
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.
- ✓
Ensure that the S3 bucket and the Elastic Beanstalk environment are in the same AWS region.
Why this is correct
Cross-region deployments require additional configuration.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Make sure the source artifact is a valid zip file containing the application code and environment configuration.
Why it's wrong here
Elastic Beanstalk accepts zip files.
- ✗
Confirm that the S3 object key does not contain special characters.
Why it's wrong here
S3 keys can contain special characters.
- ✗
Verify that the S3 bucket name is exactly as specified in the pipeline.
Why it's wrong here
Bucket name is likely correct.
- ✓
Check that the IAM role for CodePipeline has permissions to read from the S3 bucket and deploy to Elastic Beanstalk.
Why this is correct
Permissions are a common cause.
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 focus on artifact validity or permissions, but the error message 'could not be found' specifically points to a region mismatch or missing version, not a file format or IAM issue.
Detailed technical explanation
How to think about this question
Under the hood, Elastic Beanstalk creates an application version from the S3 artifact during deployment, and this version is stored in the same region as the environment. CodePipeline passes the S3 bucket and key to Elastic Beanstalk, which then attempts to retrieve the artifact; if the artifact is in a different region, the retrieval fails because S3 cross-region access is not supported for this operation. In real-world scenarios, developers often overlook region alignment when setting up pipelines across multiple accounts or regions, leading to this exact error.
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.
Visual reference
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 |
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?
Deployment — This question tests Deployment — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Ensure that the S3 bucket and the Elastic Beanstalk environment are in the same AWS region. — Option A is correct because CodePipeline and Elastic Beanstalk must be in the same AWS region for the pipeline to locate the application version. When the Source stage stores the artifact in an S3 bucket in a different region, the Deploy stage cannot find the version in Elastic Beanstalk, which expects the artifact to be in the same region. This cross-region mismatch causes the 'version of the application to be deployed could not be found' error. Option E is also correct because the IAM role for CodePipeline must have permissions to read from the S3 bucket and to deploy to Elastic Beanstalk. Without these permissions, the pipeline cannot access the artifact or perform the deployment, leading to the 'could not be found' error.
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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Last reviewed: Jul 4, 2026
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