- A
Download dependencies from the internet each time the build runs.
Why wrong: Downloading dependencies from the internet each build does not speed up the build; it actually increases time.
- B
Mount an Amazon EFS file system to the build container and store dependencies there.
Why wrong: Mounting an EFS file system introduces network latency and is not the most efficient way to cache dependencies for CodeBuild.
- C
Configure the buildspec.yaml to enable local caching and specify the paths to cache.
Local caching stores dependencies on the build instance's local storage, avoiding network I/O and reducing build time.
- D
Store dependencies in an AWS CodeCommit repository and clone it during the build.
Why wrong: Storing dependencies in a CodeCommit repository and cloning them each build adds overhead and does not leverage caching.
DOP-C02 SDLC Automation Practice Question
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 CodeBuild to run unit tests as part of a CI pipeline. The buildspec.yaml file is located in the root of the source repository. The build takes 30 minutes to complete. The team wants to speed up the build by caching dependencies. Which approach should they take?
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
Configure the buildspec.yaml to enable local caching and specify the paths to cache.
Option C is correct because CodeBuild's local caching feature allows you to specify paths in the buildspec.yaml (e.g., /root/.m2 for Maven or /root/.cache/pip for pip) that are preserved between builds on the same build environment. This avoids re-downloading dependencies from the internet each time, significantly reducing build time for a 30-minute build. The cache is stored on the build instance's local storage and is automatically managed by CodeBuild.
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.
- ✗
Download dependencies from the internet each time the build runs.
Why it's wrong here
Downloading dependencies from the internet each build does not speed up the build; it actually increases time.
- ✗
Mount an Amazon EFS file system to the build container and store dependencies there.
Why it's wrong here
Mounting an EFS file system introduces network latency and is not the most efficient way to cache dependencies for CodeBuild.
- ✓
Configure the buildspec.yaml to enable local caching and specify the paths to cache.
Why this is correct
Local caching stores dependencies on the build instance's local storage, avoiding network I/O and reducing build time.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Store dependencies in an AWS CodeCommit repository and clone it during the build.
Why it's wrong here
Storing dependencies in a CodeCommit repository and cloning them each build adds overhead and does not leverage caching.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse local caching with external storage solutions like EFS or S3, thinking that any persistent storage will speed up the build, but they overlook that local caching is the only option that avoids network I/O and is natively integrated with CodeBuild's ephemeral environment lifecycle.
Detailed technical explanation
How to think about this question
CodeBuild local caching works by persisting specified directories on the build instance's Amazon EBS root volume between builds that reuse the same build environment (e.g., same compute type and image). The cache is keyed by the project and source location, and it is automatically invalidated when the build environment changes. In practice, for a 30-minute build dominated by dependency downloads, enabling local caching can reduce build time by 50-80% by avoiding repeated network fetches, especially for large dependency trees like those in Java (Maven/Gradle) or Node.js (npm).
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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 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: Configure the buildspec.yaml to enable local caching and specify the paths to cache. — Option C is correct because CodeBuild's local caching feature allows you to specify paths in the buildspec.yaml (e.g., /root/.m2 for Maven or /root/.cache/pip for pip) that are preserved between builds on the same build environment. This avoids re-downloading dependencies from the internet each time, significantly reducing build time for a 30-minute build. The cache is stored on the build instance's local storage and is automatically managed by CodeBuild.
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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