What is the primary purpose of a blue/green deployment strategy?

To gradually expose a new version to a small subset of users before rolling it out to everyone

To run two identical environments and switch traffic between them to reduce downtime and risk

To deploy a new version by updating the existing pods in place without creating a second environment

To automatically scale the application based on CPU and memory usage

Why are readiness probes important when implementing a canary deployment?

They change the Service selector to route more traffic to the canary

They automatically roll back the canary if the new version has a bug

They increase the number of replicas in the canary Deployment

They ensure that only healthy canary pods receive traffic during the incremental rollout

A team is running a canary deployment for a microservice. They have 'svc-v1' and 'svc-v2' Deployments, each with its own Service. They are using an Ingress with a 90/10 weight split. They notice that v2 pods are crashing due to a bug. What should they do to minimize impact?

Delete the v2 Deployment immediately.

Scale the v2 Deployment to zero replicas.

Update the v2 Service selector to point to v1 pods.

Update the Ingress to send 0% traffic to the v2 Service.

Why is a canary deployment considered lower risk than a full rollout?

Because it automatically rolls back if any user reports a problem

Because it deploys the new version to all users at once, avoiding confusion

Because it limits the blast radius by exposing only a small percentage of users to the new version initially

Because it requires no monitoring or health checks during the rollout

A company runs a customer-facing web application on Kubernetes using a Deployment named 'web-app' with selector 'app=web, version=v1'. They have prepared a new version (v2) in a separate Deployment named 'web-app-v2' with selector 'app=web, version=v2'. Both Deployments are running and healthy. The team wants to switch all production traffic to v2 immediately and be able to roll back to v1 instantly if issues arise. What should they do?

Scale down the v1 Deployment to zero replicas.

Create a new Service with selector 'version=v2' and delete the old Service.

Delete the v1 Deployment and then update the Service selector to v2.

Update the Service selector from 'version=v1' to 'version=v2'.

Certified Kubernetes Application Developer (CKAD)

Domain 2Objective 1

Use Kubernetes Primitives to Implement Common Deployment Strategies (e.g. Blue/green or Canary) CKAD Practice Questions (Page 4)

Part of the Application Deployment domain, which accounts for 20% of the CKAD exam. Linux Foundation does not publish an official question count, but from its 120-minute exam (~50–80 total, ~10–16 in this domain), expect 3–4 from this objective — we provide 27 practice questions to prepare you well beyond it. (estimate)

27questions here

6free pages

8concepts

20%of the exam

Questions 16–20

16foundation · easy
What is the primary purpose of a blue/green deployment strategy?
Select an answer first
17foundation · easy
Why are readiness probes important when implementing a canary deployment?
Select an answer first
18application · medium
A team is running a canary deployment for a microservice. They have 'svc-v1' and 'svc-v2' Deployments, each with its own Service. They are using an Ingress with a 90/10 weight split. They notice that v2 pods are crashing due to a bug. What should they do to minimize impact?
Select an answer first
19foundation · easy
Why is a canary deployment considered lower risk than a full rollout?
Select an answer first
20application · medium
A company runs a customer-facing web application on Kubernetes using a Deployment named 'web-app' with selector 'app=web, version=v1'. They have prepared a new version (v2) in a separate Deployment named 'web-app-v2' with selector 'app=web, version=v2'. Both Deployments are running and healthy. The team wants to switch all production traffic to v2 immediately and be able to roll back to v1 instantly if issues arise. What should they do?
Select an answer first

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