- A
Use AWS CodeStar to manage the pipeline.
Why wrong: Using CodeStar does not affect the file count limit. It is a management service that integrates with CodePipeline but does not change deployment limits.
- B
Increase the instance size in the Auto Scaling group to handle more files.
Why wrong: Increasing the instance size addresses resource constraints (CPU, memory) but does not affect the CodeDeploy file count limit, which is a service limitation.
- C
Store the build output in an S3 bucket and modify the CodeDeploy deployment to pull the archive from S3.
Why wrong: Storing the build output in S3 and having CodeDeploy pull from S3 does not bypass the file count limit. The limit is checked on the extracted files after download, so the same number of files is still deployed.
- D
Modify the buildspec.yml to compress the build output.
Correct. Compressing the build output into a single archive reduces the number of files in the deployment package to one, allowing it to pass the file count limit. After extraction, the application files are available as needed.
CodeDeploy File Count Limit Workaround
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. A key principle to apply: codeDeploy file count limit. 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 CodeBuild and CodeDeploy. The pipeline deploys a web application to an Auto Scaling group. Recently, a deployment failed because the build output exceeded the CodeDeploy deployment limit for the number of files. The developer needs to prevent this issue in the future. What should the developer do?
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
Modify the buildspec.yml to compress the build output.
The CodeDeploy file count limit applies to the number of files extracted from the deployment archive. By compressing the build output into a single archive (e.g., a tar.gz file), the number of files in the archive is reduced to one, thereby staying within the limit. After extraction, the original files are restored, but the limit is checked on the archive contents, not the extracted files. This approach effectively bypasses the file count limit.
Key principle: CodeDeploy file count limit
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use AWS CodeStar to manage the pipeline.
Why it's wrong here
Using CodeStar does not affect the file count limit. It is a management service that integrates with CodePipeline but does not change deployment limits.
- ✗
Increase the instance size in the Auto Scaling group to handle more files.
Why it's wrong here
Increasing the instance size addresses resource constraints (CPU, memory) but does not affect the CodeDeploy file count limit, which is a service limitation.
- ✗
Store the build output in an S3 bucket and modify the CodeDeploy deployment to pull the archive from S3.
Why it's wrong here
Storing the build output in S3 and having CodeDeploy pull from S3 does not bypass the file count limit. The limit is checked on the extracted files after download, so the same number of files is still deployed.
- ✓
Modify the buildspec.yml to compress the build output.
Why this is correct
Correct. Compressing the build output into a single archive reduces the number of files in the deployment package to one, allowing it to pass the file count limit. After extraction, the application files are available as needed.
Related concept
CodeDeploy file count limit
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap is that candidates often focus on storage or instance resources, missing that compressing the archive directly addresses the file count limit by reducing the number of items in the archive.
Trap categories for this question
Command / output trap
Storing the build output in S3 and having CodeDeploy pull from S3 does not bypass the file count limit. The limit is checked on the extracted files after download, so the same number of files is still deployed.
Detailed technical explanation
How to think about this question
CodeDeploy's file count limit is enforced during the 'Install' lifecycle event, where the agent extracts the archive and counts each file. When using an S3 bucket as the source, CodeDeploy downloads the archive directly to the instance, and the agent processes it without the file count restriction that applies to pipeline artifacts. This approach is particularly useful for large web applications with thousands of static assets, such as a React or Angular build output, which can easily exceed 10,000 files.
KKey Concepts to Remember
- CodeDeploy file count limit
- Build output compression
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
CodeDeploy file count limit
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
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FAQ
Questions learners often ask
What does this DVA-C02 question test?
Deployment — This question tests Deployment — CodeDeploy file count limit.
What is the correct answer to this question?
The correct answer is: Modify the buildspec.yml to compress the build output. — The CodeDeploy file count limit applies to the number of files extracted from the deployment archive. By compressing the build output into a single archive (e.g., a tar.gz file), the number of files in the archive is reduced to one, thereby staying within the limit. After extraction, the original files are restored, but the limit is checked on the archive contents, not the extracted files. This approach effectively bypasses the file count limit.
What should I do if I get this DVA-C02 question wrong?
Review codeDeploy file count limit, then practise related DVA-C02 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
CodeDeploy file count limit
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Last reviewed: Jun 24, 2026
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