SAP-C02 Continuous Improvement for Existing Solutions Practice Question
A company runs a critical web application on EC2 instances behind an Application Load Balancer (ALB). During a recent deployment, users experienced errors. The team wants to automatically roll back the deployment if the error rate exceeds 5% within 10 minutes after deployment. Which solution meets these requirements with minimal operational overhead?
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 CodeDeploy with a CloudWatch alarm on the ALB error rate that triggers a deployment rollback.
AWS CodeDeploy supports automatic rollback based on CloudWatch alarm metrics, such as the ALB error rate exceeding 5% for 10 minutes, with minimal operational overhead. Option A is incorrect because modifying Auto Scaling group health checks does not directly monitor application-level error rates for rollback. Option B is incorrect because manual approval gates require human intervention and do not provide automatic rollback. Option D is incorrect because using a custom Lambda function adds complexity and is not the best practice; CodeDeploy with CloudWatch alarms provides a simpler, fully managed solution.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure the Auto Scaling group to use ELB health checks and replace instances if the error rate increases.
Why it's wrong here
Auto Scaling health checks do not monitor error rate percentages for rollback.
- ✗
Use CodeDeploy with manual approval gates and a script that checks error rates.
Why it's wrong here
Manual approval does not provide automatic rollback based on error rate.
- ✓
Use CodeDeploy with a CloudWatch alarm on the ALB error rate that triggers a deployment rollback.
Why this is correct
CodeDeploy natively supports CloudWatch alarm-based automatic rollback.
- ✗
Use a custom Lambda function that monitors ALB error rates and triggers a rollback via CodeDeploy API.
Why it's wrong here
Developing custom Lambda logic introduces significant operational overhead because it requires manual integration between CloudWatch metrics and CodeDeploy APIs. This approach is intended for bespoke monitoring requirements that standard deployment hooks cannot handle, such as checking external third-party API health. However, AWS CodeDeploy natively supports CloudWatch Alarm triggers to automate rollbacks during deployments, satisfying the requirement for minimal management without writing custom code.
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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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.