SAP-C02 Continuous Improvement for Existing Solutions Practice Question
A company uses AWS CodeBuild to compile and test code. The build process takes a long time because dependencies are downloaded from the internet each time. The company wants to speed up the build process. Which TWO actions should the company take? (Choose TWO.)
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
✓
Use a custom Docker image in CodeBuild that includes the dependencies
Reduces build time by using a custom Docker image that pre-installs dependencies, avoiding repeated downloads. Option E caches dependency files in Amazon S3 so subsequent builds reuse them instead of downloading again. Option A (CodeArtifact) manages package storage but does not inherently speed up the initial build; it still requires downloading from CodeArtifact. Option D (increasing compute) may help but does not address the root cause of repeated downloads. Option C (parallel builds) adds complexity without solving the dependency download issue.
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 CodeArtifact to store and retrieve dependencies
Why it's wrong here
While useful, it still requires download; caching is more direct.
- ✓
Use a custom Docker image in CodeBuild that includes the dependencies
Why this is correct
Pre-installed dependencies eliminate download time.
- ✗
Use local build agents to run builds in parallel
Why it's wrong here
Parallel builds do not reduce the time of a single build.
- ✗
Increase the compute type of the build environment
Why it's wrong here
Faster CPU does not reduce dependency download time significantly.
- ✓
Enable the cache feature in CodeBuild to store dependencies in Amazon S3
Why this is correct
Cached dependencies are reused on subsequent builds.
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 |
Go deeper
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