- A
Use AWS CodeDeploy with a blue/green deployment configuration on the ECS service, and configure automatic rollback when CloudWatch alarms are breached.
CodeDeploy supports blue/green deployments on ECS with automatic rollback based on alarms.
- B
Use AWS CloudFormation with a ChangeSet and a custom rollback Lambda function triggered by CloudWatch alarms.
Why wrong: CloudFormation does not have native blue/green deployment with automatic rollback for ECS.
- C
Use AWS CodeBuild to run a build that creates a new task definition, then update the ECS service manually, and use CloudWatch alarms to trigger a rollback via a Lambda function.
Why wrong: CodeBuild is not designed for deployment orchestration.
- D
Use Amazon ECS service auto scaling with step scaling policies based on CloudWatch alarms.
Why wrong: Auto scaling adjusts capacity, not deployment strategies.
AWS CodeDeploy Blue/Green Deployment for Amazon ECS with Automatic Rollback
This DOP-C02 practice question tests your understanding of sdlc automation. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 DevOps engineer is designing a deployment pipeline for a microservices application on Amazon ECS. The team wants to use blue/green deployments with automatic rollback if CloudWatch alarms are triggered during the deployment. Which combination of services and configurations should the engineer use?
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 AWS CodeDeploy with a blue/green deployment configuration on the ECS service, and configure automatic rollback when CloudWatch alarms are breached.
Option A is correct because AWS CodeDeploy natively supports blue/green deployments on Amazon ECS services, and you can configure automatic rollback when CloudWatch alarms are triggered, meeting the team's requirements. Option B is incorrect because CloudFormation ChangeSets do not provide native blue/green deployment with automatic rollback based on alarms; custom Lambda functions add complexity. Option C is incorrect because CodeBuild is used for building artifacts, not deploying; manually updating the ECS service and using a Lambda for rollback is not a streamlined solution. Option D is incorrect because ECS service auto scaling handles scaling based on demand, not deployment strategies like blue/green.
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 AWS CodeDeploy with a blue/green deployment configuration on the ECS service, and configure automatic rollback when CloudWatch alarms are breached.
Why this is correct
CodeDeploy supports blue/green deployments on ECS with automatic rollback based on alarms.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use AWS CloudFormation with a ChangeSet and a custom rollback Lambda function triggered by CloudWatch alarms.
Why it's wrong here
CloudFormation does not have native blue/green deployment with automatic rollback for ECS.
- ✗
Use AWS CodeBuild to run a build that creates a new task definition, then update the ECS service manually, and use CloudWatch alarms to trigger a rollback via a Lambda function.
Why it's wrong here
CodeBuild is not designed for deployment orchestration.
- ✗
Use Amazon ECS service auto scaling with step scaling policies based on CloudWatch alarms.
Why it's wrong here
Auto scaling adjusts capacity, not deployment strategies.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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 |
What to study next
Got this wrong? Here's your next step.
Identify which DOP-C02 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
- →
SDLC Automation — study guide chapter
Learn the concepts, then practise the questions
- →
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Targeted practice on this topic area only
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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: Use AWS CodeDeploy with a blue/green deployment configuration on the ECS service, and configure automatic rollback when CloudWatch alarms are breached. — Option A is correct because AWS CodeDeploy natively supports blue/green deployments on Amazon ECS services, and you can configure automatic rollback when CloudWatch alarms are triggered, meeting the team's requirements. Option B is incorrect because CloudFormation ChangeSets do not provide native blue/green deployment with automatic rollback based on alarms; custom Lambda functions add complexity. Option C is incorrect because CodeBuild is used for building artifacts, not deploying; manually updating the ECS service and using a Lambda for rollback is not a streamlined solution. Option D is incorrect because ECS service auto scaling handles scaling based on demand, not deployment strategies like blue/green.
What should I do if I get this DOP-C02 question wrong?
Identify which DOP-C02 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
3 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 DevOps team is designing a deployment pipeline for a microservices application on Amazon ECS using AWS CodePipeline. They want to implement a canary deployment strategy where a small percentage of traffic is routed to the new version before fully promoting it. Which AWS service or feature should they use to achieve this?
medium- A.Amazon ECS Service Auto Scaling
- ✓ B.AWS CodeDeploy with ECS blue/green deployment
- C.Amazon Route 53 weighted routing
- D.AWS App Mesh with traffic shifting
Why B: AWS CodeDeploy with ECS blue/green deployment is the correct choice because it natively supports canary traffic shifting for Amazon ECS services. When integrated with AWS CodePipeline, CodeDeploy can route a small percentage of traffic (e.g., 10%) to the new task set, monitor it with CloudWatch alarms, and then automatically shift the remaining traffic after a specified interval. This is the only option that directly provides the canary deployment lifecycle within the ECS and CodePipeline context.
Variation 2. A DevOps engineer is designing a CI/CD pipeline for a microservices application running on Amazon ECS with Fargate. The team wants to use a blue/green deployment strategy to minimize downtime. Which combination of AWS services and configurations should be used to implement this?
hard- A.Use Amazon ECS service with a rolling update deployment controller
- B.Create two separate ECS services and use Route 53 weighted routing to shift traffic
- C.Use AWS CloudFormation with a custom resource to swap target group weights
- ✓ D.Use CodeDeploy with an ECS compute platform and an Application Load Balancer
Why D: Option D is correct because CodeDeploy with an ECS compute platform natively supports blue/green deployments for ECS services by orchestrating traffic shifting between two target groups behind an Application Load Balancer. This approach minimizes downtime by gradually routing traffic from the 'blue' (current) task set to the 'green' (new) task set, with built-in rollback capabilities and lifecycle hooks for validation.
Variation 3. A company runs a microservices architecture on Amazon ECS with Fargate launch type. Each microservice is deployed using AWS CodePipeline with a source stage from CodeCommit, a build stage in CodeBuild, and a deploy stage that updates the ECS service. The team wants to implement a blue/green deployment strategy to reduce downtime and enable quick rollbacks. Which combination of AWS services and configurations should be used?
hard- A.Use AWS CloudFormation with a 'DeploymentPreference' set to 'BlueGreen' for the ECS service.
- ✓ B.Use AWS CodeDeploy with a deployment group configured for blue/green deployment, and an Application Load Balancer (ALB) to shift traffic between the blue and green target groups.
- C.Use the ECS service's built-in rolling update with a 'minimumHealthyPercent' of 100 and 'maximumPercent' of 200.
- D.Configure the ECS service with an 'AutoScaling' policy that replaces instances gradually.
Why B: Option B is correct because AWS CodeDeploy natively supports blue/green deployments for Amazon ECS (Fargate) by orchestrating traffic shifting between two target groups behind an Application Load Balancer (ALB). This allows the new task set (green) to be validated before production traffic is fully shifted, and enables instant rollback by reverting traffic to the original (blue) target group. CodePipeline can integrate CodeDeploy as a deploy action to automate this workflow.
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Last reviewed: Jun 20, 2026
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