- A
Use a custom build environment with pre-installed Java.
Why wrong: The standard environment already has Java; custom environment may not reduce build time.
- B
Enable local caching for dependencies in the buildspec.yml.
Caching dependencies avoids re-downloading them each build.
- C
Store the source code in AWS CodeCommit instead of S3.
Why wrong: Source location does not affect build time significantly.
- D
Increase the compute type to a larger instance.
Why wrong: More CPU may help but not as much as caching dependencies.
Question 1,554 of 1,750
How to Speed Up AWS CodeBuild with Local Dependency Caching
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 is using AWS CodeBuild to compile a Java application. The build takes over 30 minutes, which is too long. The project uses the standard build environment. The source code is stored in an S3 bucket. What is the most effective way to reduce build time?
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
✓
Enable local caching for dependencies in the buildspec.yml.
Option B is correct because enabling local caching in the buildspec.yml allows CodeBuild to reuse previously downloaded dependency files (e.g., Maven .m2 repository) across builds, significantly reducing the time spent on dependency resolution. Since the build takes over 30 minutes, caching avoids re-downloading dependencies on every build, which is the most effective optimization for a standard build environment.
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 a custom build environment with pre-installed Java.
Why it's wrong here
The standard environment already has Java; custom environment may not reduce build time.
- ✓
Enable local caching for dependencies in the buildspec.yml.
Why this is correct
Caching dependencies avoids re-downloading them each build.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Store the source code in AWS CodeCommit instead of S3.
Why it's wrong here
Source location does not affect build time significantly.
- ✗
Increase the compute type to a larger instance.
Why it's wrong here
More CPU may help but not as much as caching dependencies.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume increasing compute power (Option D) is the universal fix for slow builds, but the question specifically highlights a 30-minute build time in a standard environment, which typically indicates dependency download latency rather than CPU constraints.
Detailed technical explanation
How to think about this question
Local caching in CodeBuild works by storing the cache in an S3 bucket specified in the buildspec.yml, using the 'cache' section with 'paths' pointing to directories like /root/.m2 for Maven. On subsequent builds, CodeBuild downloads the cache archive from S3 and extracts it, which is faster than re-fetching dependencies from remote repositories. In real-world scenarios, this can reduce build times by 50-80% for projects with large dependency trees, especially when combined with incremental builds.
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.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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: Enable local caching for dependencies in the buildspec.yml. — Option B is correct because enabling local caching in the buildspec.yml allows CodeBuild to reuse previously downloaded dependency files (e.g., Maven .m2 repository) across builds, significantly reducing the time spent on dependency resolution. Since the build takes over 30 minutes, caching avoids re-downloading dependencies on every build, which is the most effective optimization for a standard build environment.
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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Same concept, more angles
1 more ways this is tested on DOP-C02
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company is using AWS CodeBuild to compile a Java application. The build takes over 30 minutes, causing timeouts. The team has already increased the build timeout to the maximum. Which action would MOST effectively reduce the build time?
medium- A.Use a smaller instance type to reduce provisioning time.
- ✓ B.Enable dependency caching in the buildspec file.
- C.Use a larger compute type in CodeBuild.
- D.Split the build into multiple parallel CodeBuild projects.
Why B: Option B is correct because enabling dependency caching in the buildspec file allows CodeBuild to reuse previously downloaded dependencies (e.g., Maven or Gradle artifacts) across builds, significantly reducing the time spent on dependency resolution and download. Since the build already times out at the maximum timeout, caching directly addresses the bottleneck of repeated dependency fetching, which is a common cause of long build times in Java applications.
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Last reviewed: Jul 4, 2026
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