The answer is to use CodeDeploy blue/green deployment with automatic rollback enabled. This strategy creates a separate green Auto Scaling group alongside the existing blue group, routing traffic only after health checks pass on the new instances, which prevents any traffic from being sent to unhealthy instances and eliminates the outage risk seen with in-place updates. On the AWS Certified DevOps Engineer Professional DOP-C02 exam, this scenario tests your understanding of how blue/green deployment achieves high availability by isolating new code from production traffic until verified, and it’s a common trap to confuse it with in-place deployments or manual approvals that don’t automate rollback. Remember the memory tip: “Blue stays safe while green gets the test; if green fails, blue stays best.”
DOP-C02 SDLC Automation Practice Question
This DOP-C02 practice question tests your understanding of sdlc automation. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 company runs a critical e-commerce application on AWS. They use AWS CodePipeline to manage deployments. The pipeline has a source stage (CodeCommit), a build stage (CodeBuild), and a deploy stage (CodeDeploy to an Auto Scaling group). Recently, a deployment caused a 5-minute outage because the new application version had a bug that caused the health checks to fail. The Auto Scaling group marked instances as unhealthy and replaced them, but during the replacement, traffic was routed to the remaining instances, which also failed health checks, causing a full outage. The company wants to implement a deployment strategy that prevents any traffic from being routed to unhealthy instances and automatically rolls back if the deployment fails. They also want to minimize deployment time and cost. Which solution should the DevOps team implement?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use CodeDeploy blue/green deployment with automatic rollback enabled
The best approach is to use a blue/green deployment with CodeDeploy, which creates a new Auto Scaling group (green) alongside the existing one (blue). Traffic is shifted to the green group only after health checks pass. If health checks fail, the deployment is automatically rolled back by terminating the green group. This avoids any outage. Option B is correct. Option A (in-place with rollback) would still cause downtime during instance replacement. Option C (increase health check grace period) would delay detection but not prevent outage. Option D (manual approval) slows down deployment and doesn't automate rollback.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Add a manual approval step in CodePipeline before deploy
Why it's wrong here
Manual approval adds delay but doesn't automate rollback or prevent outage
✗
Use CodeDeploy in-place deployment with automatic rollback enabled
Why it's wrong here
In-place deployment still replaces instances one by one, causing potential downtime
✓
Use CodeDeploy blue/green deployment with automatic rollback enabled
Why this is correct
Blue/green creates a new environment, tests it, and shifts traffic only if healthy; rollback is automatic
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
✗
Increase the health check grace period in the Auto Scaling group
Why it's wrong here
Longer grace period delays detection but doesn't prevent failure propagation
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DOP-C02 NAT questions on configuration and troubleshooting.
SDLC Automation — This question tests SDLC Automation — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Use CodeDeploy blue/green deployment with automatic rollback enabled — The best approach is to use a blue/green deployment with CodeDeploy, which creates a new Auto Scaling group (green) alongside the existing one (blue). Traffic is shifted to the green group only after health checks pass. If health checks fail, the deployment is automatically rolled back by terminating the green group. This avoids any outage. Option B is correct. Option A (in-place with rollback) would still cause downtime during instance replacement. Option C (increase health check grace period) would delay detection but not prevent outage. Option D (manual approval) slows down deployment and doesn't automate rollback.
What should I do if I get this DOP-C02 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DOP-C02 NAT questions on configuration and troubleshooting.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Variation 1. A DevOps engineer is designing a CI/CD pipeline for a Python application using AWS CodeBuild and AWS CodeDeploy. The application is deployed to an Auto Scaling group of EC2 instances. The engineer wants to ensure that the deployment does not impact availability. Which TWO strategies can be used? (Choose 2.)
medium
A.In-place deployment with a large batch size.
✓ B.Rolling deployment with a small batch size.
C.Immutable deployment.
✓ D.Blue/green deployment.
E.Canary deployment.
Why B: Options B and C are correct. A blue/green deployment (B) creates a new environment and switches traffic. A rolling deployment (C) updates instances in batches, maintaining availability. Option A is wrong because in-place deployment can cause downtime. Option D is wrong because immutable deployments are not supported directly with Auto Scaling groups. Option E is wrong because canary is not a deployment type for EC2/ASG.
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Question Discussion
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