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 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 the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Store the build output in an S3 bucket and modify the CodeDeploy deployment to pull the archive from S3.
Option C is correct because CodeDeploy has a hard limit on the number of files in a deployment archive (currently 10,000 files for in-place deployments). By storing the build output in an S3 bucket and configuring CodeDeploy to pull the archive from S3, the developer bypasses the file count limit entirely. S3 has no such file count restriction, and CodeDeploy can retrieve the archive directly, allowing deployments with a large number of files to succeed.
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.
✗
Use AWS CodeStar to manage the pipeline.
Why it's wrong here
CodeStar is a project management tool, does not solve file limit.
✗
Increase the instance size in the Auto Scaling group to handle more files.
Why it's wrong here
Instance size does not lift the 50000 file limit.
✓
Store the build output in an S3 bucket and modify the CodeDeploy deployment to pull the archive from S3.
Why this is correct
Using S3 reduces the number of files in the deployment package to one.
Related concept
Read the scenario before looking for a memorised answer.
✗
Modify the buildspec.yml to compress the build output.
Why it's wrong here
Compression alone does not reduce file count; CodeDeploy still counts individual files in the archive.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse the file count limit with archive size limits or instance resource constraints, leading them to choose compression or instance scaling instead of addressing the actual CodeDeploy limitation.
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
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.
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: Store the build output in an S3 bucket and modify the CodeDeploy deployment to pull the archive from S3. — Option C is correct because CodeDeploy has a hard limit on the number of files in a deployment archive (currently 10,000 files for in-place deployments). By storing the build output in an S3 bucket and configuring CodeDeploy to pull the archive from S3, the developer bypasses the file count limit entirely. S3 has no such file count restriction, and CodeDeploy can retrieve the archive directly, allowing deployments with a large number of files to succeed.
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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Question Discussion
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