DVA-C02 Deployment Practice Question
A developer is deploying a new version of an application to AWS Elastic Beanstalk. The developer wants to minimize the risk of the new version causing issues in production. The application must remain available during the deployment. Which deployment policy should the developer choose?
⚠ Common exam trap
A common mix-up: candidates confuse rolling with additional batch as providing zero downtime with full safety, but it still updates existing instances and lacks the isolation of immutable deployments.
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
✓
Immutable
Immutable deployment is ideal for minimizing risk because it launches a full set of new instances with the updated application version, leaving the original instances untouched until the new ones pass health checks. This provides zero downtime and a safe rollback path. Other policies either cause downtime or do not isolate the new version as thoroughly.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Rolling
Why it's wrong here
Rolling deployment updates instances in batches, maintaining availability but reducing capacity during the deployment. It does not provide a separate environment to test the new version before shifting traffic, so it carries more risk than immutable or blue/green.
- ✗
All at once
Why it's wrong here
All at once deploys the new version to all instances simultaneously, causing a brief outage. It does not keep the application available during deployment and offers no rollback safety. This policy is fast but unsuitable when availability is required.
- ✗
Rolling with additional batch
Why it's wrong here
Rolling with additional batch launches a new batch of instances to maintain full capacity during the deployment. However, it still updates existing instances and does not provide a completely separate environment for testing, so it carries similar risk to rolling.
- ✓
Immutable
Why this is correct
Immutable deployment creates a new set of instances with the new version in a temporary Auto Scaling group. Once healthy, these instances are moved to the original group, and old instances are terminated. This ensures zero downtime and allows easy rollback if issues occur, minimizing risk.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
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