- A
Blue/green
Blue/green deployments create a new set of instances, shift traffic to them after health checks, and then tear down the old ones, providing minimal disruption and easy rollback.
- B
Rolling
Why wrong: Rolling deployments update instances in the existing Auto Scaling group in batches, which may cause brief downtime during each batch and does not provide an instant rollback mechanism.
- C
AllAtOnce
Why wrong: AllAtOnce terminates all old instances and launches new ones simultaneously, causing a period of downtime until the new instances pass health checks.
- D
Canary
Why wrong: Canary deployments are typically used for AWS Lambda functions, where a small percentage of traffic is shifted to the new version; this is not a standard deployment configuration for EC2 Auto Scaling groups in CodeDeploy.
SOA-C02 Deployment, Provisioning, and Automation Practice Question
This SOA-C02 practice question tests your understanding of deployment, provisioning, and 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 SysOps administrator wants to deploy a new version of an application to an existing Auto Scaling group of Amazon EC2 instances. The deployment must minimize disruption by launching new instances, performing health checks, and shifting traffic to the new instances before terminating the old ones. Which AWS CodeDeploy deployment configuration should the administrator choose?
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 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
Blue/green
The blue/green deployment configuration in AWS CodeDeploy is designed to minimize disruption by provisioning a new set of instances (green environment), performing health checks against them, and then shifting traffic from the old instances (blue environment) to the new ones before terminating the old instances. This matches the requirement of launching new instances, health-checking, and shifting traffic before termination, which is not possible with in-place deployment types like rolling or all-at-once.
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.
- ✓
Blue/green
Why this is correct
Blue/green deployments create a new set of instances, shift traffic to them after health checks, and then tear down the old ones, providing minimal disruption and easy rollback.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Rolling
Why it's wrong here
Rolling deployments update instances in the existing Auto Scaling group in batches, which may cause brief downtime during each batch and does not provide an instant rollback mechanism.
- ✗
AllAtOnce
Why it's wrong here
AllAtOnce terminates all old instances and launches new ones simultaneously, causing a period of downtime until the new instances pass health checks.
- ✗
Canary
Why it's wrong here
Canary deployments are typically used for AWS Lambda functions, where a small percentage of traffic is shifted to the new version; this is not a standard deployment configuration for EC2 Auto Scaling groups in CodeDeploy.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'rolling' with 'blue/green' because both involve gradual updates, but rolling updates modify the existing Auto Scaling group in-place without creating a separate environment or shifting traffic before termination.
Detailed technical explanation
How to think about this question
In a blue/green deployment, CodeDeploy creates a new Auto Scaling group (green) alongside the existing one (blue), registers the new instances with the load balancer, and uses a deployment group lifecycle hook to run health checks (e.g., ELB health checks or custom scripts) before rerouting traffic via the load balancer target group. The old instances are terminated only after the new instances pass all health checks and traffic is fully shifted, ensuring zero downtime. This approach leverages the AWS Elastic Load Balancing deregistration delay feature to drain existing connections gracefully.
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.
TExam Day Tips
- 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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this SOA-C02 question test?
Deployment, Provisioning, and Automation — This question tests Deployment, Provisioning, and Automation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Blue/green — The blue/green deployment configuration in AWS CodeDeploy is designed to minimize disruption by provisioning a new set of instances (green environment), performing health checks against them, and then shifting traffic from the old instances (blue environment) to the new ones before terminating the old instances. This matches the requirement of launching new instances, health-checking, and shifting traffic before termination, which is not possible with in-place deployment types like rolling or all-at-once.
What should I do if I get this SOA-C02 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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