AWS DevOps Release Strategies 5

Question 1

A DevOps team wants to ensure that a new microservice release does not degrade the p99 latency of dependent services. Which release strategy combined with which AWS tool best addresses this?

Accepted Answer

Canary deployment with Amazon CloudWatch metric alarms and automatic CodeDeploy rollback

Answer

A canary deployment exposes the new version to limited traffic while CloudWatch alarms on p99 latency metrics trigger automatic CodeDeploy rollback if thresholds are breached.

Question 2

What is the primary risk of using a 'rolling with additional batch' deployment policy in Elastic Beanstalk compared to a standard 'rolling' policy?

Accepted Answer

It temporarily runs more instances than the desired capacity, increasing cost

Answer

Rolling with additional batch launches extra instances to maintain full capacity during the update, which temporarily increases infrastructure cost compared to standard rolling.

Question 3

During a CodeDeploy deployment using the 'CodeDeployDefault.ECSLinear10PercentEvery1Minutes' configuration, traffic fails health checks after the first shift. What happens next?

Accepted Answer

CodeDeploy automatically rolls back to the original task set

Answer

When health checks fail during an ECS linear deployment, CodeDeploy automatically triggers a rollback, restoring all traffic to the original (blue) task set.

Question 4

A team maintains separate AWS accounts for dev, staging, and production. Which AWS service enables automated, policy-controlled promotion of CloudFormation stacks across these accounts as part of a release pipeline?

Accepted Answer

AWS CloudFormation StackSets with AWS Organizations

Answer

CloudFormation StackSets with AWS Organizations allow centrally deploying and updating stacks across multiple accounts and regions with delegated administration and deployment policies.

Question 5

Which metric is MOST important to monitor during the bake period of a canary release for a database-backed web application?

Accepted Answer

Application-level error rate and database query latency from the canary group

Answer

Monitoring error rates and database query latency from the canary group reveals application regressions and data-layer performance issues before they affect all users.

AWS Practice Test

AWS Practice Test

AWS DevOps Release Strategies 5