- A
In-place deployment with a large batch size.
Why wrong: In-place deployment can cause downtime during the update.
- B
Rolling deployment with a small batch size.
Rolling updates instances in batches, maintaining availability.
- C
Immutable deployment.
Why wrong: Immutable deployments are for Elastic Beanstalk, not ASG.
- D
Blue/green deployment.
Blue/green creates a new environment and switches traffic with minimal downtime.
- E
Canary deployment.
Why wrong: Canary is not a native CodeDeploy deployment type for EC2/ASG.
Question 75 of 1,750
Maintain Availability During EC2 Deployments
This DOP-C02 practice question tests your understanding of sdlc automation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 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.)
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
✓
Rolling deployment with a small batch size.
Rolling deployment with a small batch size (Option B) updates a limited number of instances at a time, ensuring that the majority of the Auto Scaling group remains available throughout the deployment. Blue/green deployment (Option D) creates a separate, fully-provisioned environment (green) and switches traffic to it only after validation, which eliminates downtime during the cutover. Both strategies directly preserve application availability by avoiding full-scale disruption.
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.
- ✗
In-place deployment with a large batch size.
Why it's wrong here
In-place deployment can cause downtime during the update.
- ✓
Rolling deployment with a small batch size.
Why this is correct
Rolling updates instances in batches, maintaining availability.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Immutable deployment.
Why it's wrong here
Immutable deployments are for Elastic Beanstalk, not ASG.
- ✓
Blue/green deployment.
Why this is correct
Blue/green creates a new environment and switches traffic with minimal downtime.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Canary deployment.
Why it's wrong here
Canary is not a native CodeDeploy deployment type for EC2/ASG.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse 'canary' (a traffic-shifting pattern for Lambda/ECS) with 'rolling' (an instance-by-instance update for EC2), or incorrectly assume immutable deployment is available in CodeDeploy for Auto Scaling groups, when it is not a supported deployment type in that service.
Detailed technical explanation
How to think about this question
In a rolling deployment with a small batch size (e.g., 10% of instances), CodeDeploy sequentially stops traffic to each batch, updates the application, and re-registers instances with the load balancer, maintaining overall capacity. Blue/green deployment with CodeDeploy creates a new Auto Scaling group behind the same load balancer, and after health checks pass, the load balancer target group is swapped atomically, ensuring zero downtime. A subtle behavior: CodeDeploy's blue/green for EC2 requires the 'terminate original instances' option to be set carefully to avoid accidental deletion of the old environment before traffic is fully shifted.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
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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: Rolling deployment with a small batch size. — Rolling deployment with a small batch size (Option B) updates a limited number of instances at a time, ensuring that the majority of the Auto Scaling group remains available throughout the deployment. Blue/green deployment (Option D) creates a separate, fully-provisioned environment (green) and switches traffic to it only after validation, which eliminates downtime during the cutover. Both strategies directly preserve application availability by avoiding full-scale disruption.
What should I do if I get this DOP-C02 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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