SAP-C02 Practice Question: Accelerate Workload Migration and Modernization
A company is modernizing its infrastructure by moving from EC2 instances to a serverless architecture using AWS Lambda. The application processes images uploaded to Amazon S3. The current EC2-based solution uses a third-party image processing library that is not supported in Lambda's runtime environment. What is the best approach to migrate to serverless while using the same library?
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
✓
Package the library as a Lambda layer and reference it in the function.
AWS Lambda supports custom runtime environments by bundling the library with the deployment package or using Lambda layers. The library can be included as a layer, allowing the Lambda function to use it. AWS Fargate runs containers but is not serverless in the same sense; it adds overhead. Using a different library would require code changes. App Runner is for containerized applications.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Package the library as a Lambda layer and reference it in the function.
Why this is correct
Lambda layers allow inclusion of custom libraries, enabling use of the third-party library without code changes.
- ✗
Use AWS Fargate to run the image processing library in a container.
Why it's wrong here
AWS Fargate runs containers without managing servers, but the question requires a serverless architecture using Lambda specifically, not just any serverless compute. Fargate is tempting because it can containerise the unsupported library, making it portable; it would be correct if the goal were to migrate to containers while avoiding server management, but the stem explicitly demands Lambda, which Fargate does not replace.
- ✗
Rewrite the image processing code to use AWS Rekognition.
Why it's wrong here
Rekognition provides different functionality; rewriting code is not the best approach when the existing library can be used.
- ✗
Use AWS App Runner to deploy the existing application as-is.
Why it's wrong here
App Runner requires containerization and is not serverless in the same way as Lambda; it adds operational overhead.
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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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This SAP-C02 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SAP-C02 exam.