SAP-C02 Continuous Improvement for Existing Solutions Practice Question
A company is building a serverless application using AWS Lambda, Amazon API Gateway, and Amazon DynamoDB. They want to improve performance and reduce costs. Which THREE actions should they take? (Choose THREE.)
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 Lambda Provisioned Concurrency for the function.
Options A, C, and D are correct. A: Lambda Provisioned Concurrency reduces cold starts for predictable traffic, improving performance. C: Using DAX reduces read latency and can lower DynamoDB read costs by offloading reads from the table. D: API Gateway caching reduces the number of requests to Lambda and DynamoDB, improving response times and reducing costs. Option B is incorrect because DynamoDB on-demand capacity mode is typically more expensive for predictable workloads compared to provisioned capacity. Option E is incorrect because increasing the Lambda function timeout does not improve performance and may increase costs due to longer execution time.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable Lambda Provisioned Concurrency for the function.
Why this is correct
Reduces cold start latency for predictable traffic.
- ✗
Use DynamoDB on-demand capacity mode.
Why it's wrong here
On-demand can be more expensive for steady workloads.
- ✓
Use DynamoDB Accelerator (DAX) for read-heavy workloads.
Why this is correct
DAX provides in-memory caching, reducing read latency and costs.
- ✓
Enable API Gateway caching to reduce backend calls.
Why this is correct
Caching reduces the number of requests to Lambda and DynamoDB.
- ✗
Increase the Lambda function timeout to 5 minutes.
Why it's wrong here
Longer timeouts can increase cost without improving performance.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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