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[General] 2026 CKS Related Exams 100% Pass | High Pass-Rate New CKS Test Testking: Certifi

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【General】 2026 CKS Related Exams 100% Pass | High Pass-Rate New CKS Test Testking: Certifi

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Linux Foundation CKS (Certified Kubernetes Security Specialist) Certification Exam is a professional certification that validates the skills and knowledge of individuals in securing containerized applications and Kubernetes platforms. CKS exam is designed to test the candidate's understanding of Kubernetes architecture, network security, cluster hardening, and other security best practices. Certified Kubernetes Security Specialist (CKS) certification is globally recognized and is offered by the Linux Foundation, a leading open-source software organization.
The CKS Exam is open to individuals who already hold the Certified Kubernetes Administrator (CKA) certification. This means that candidates must demonstrate their proficiency in Kubernetes administration before being eligible to take the CKS exam. The CKA certification covers Kubernetes installation, networking, storage, security, and troubleshooting. It is considered a prerequisite for the CKS certification.
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Linux Foundation Certified Kubernetes Security Specialist (CKS) Sample Questions (Q20-Q25):NEW QUESTION # 20
You are responsible for securing a Kubernetes cluster that runs multiple applications. You need to implement a solution that performs static analysis of the container images used in the cluster to identify potential vulnerabilities.
Answer:
Explanation:
Solution (Step by Step):
1. Choose a vulnerability scanning tool: There are many open-source and commercial tools available, such as Trivy, Anchore, and Clair-
2. Deploy the scanning tool in your cluster: This can be done by deploying the tool as a DaemonSet, so that it runs on every node, or by using a dedicated scanning service.

3. Configure the scanning tool to scan all container images in the cluster: This can be done by configuring the tool to scan images in your container registry or by scanning images as they are deployed.

4. Integrate the scanning tool with your CI/CD pipeline: This will allow you to scan images before they are deployed to the cluster.

5. Review and address any vulnerabilities identified by the scanning tool: Analyze the output of the scanning tool and take appropriate action to remediate any identified vulnerabilities.

NEW QUESTION # 21
You're in charge of enforcing a secure supply chain in your Kubernetes environment. You need to ensure that all container images deployed to your cluster are scanned for known vulnerabilities before being deployed. How would you achieve this?
Answer:
Explanation:
Solution (Step by Step) :
1. Choose a Vulnerability Scanner:
- Select a reputable container image vulnerability scanner. Popular options include:
- Aqua Security: A comprehensive platform that offers image scanning, runtime security, and policy enforcement.
- JFrog Xray: A vulnerability scanner that integrates with JFrog Artifactory, providing deep scanning capabilities.
- Ancnore Engine: An open-source scanner that can be deployed on-premises or in the Cloud.
2. Integrate with Your Registry (if applicable):
- If your vulnerability scanner support integration with your registry (e.g., Docker Hub, Harbor), configure it to scan images automatically as they are pushed.
- This approach provides real-time vulnerability scanning, ensuring that only secure images are available for deployment.
3. Implement a Scanning Pipeline (if needed):
- If your chosen scanner doesn't integrate with your registry, build a scanning pipeline using a CI/CD tool like Jenkins, GitLab Cl, or CircleCl.
- The pipeline should:
- Pull the image from the registry.
- Run the vulnerability scanner against the image.
- Fail the build if any critical vulnerabilities are found.
- If no critical vulnerabilities are found, push the scanned image to the registry with a tag indicating its scan status.
4. Configure Kubernetes Policies:
- Use Kubernetes policies (like Pod Security Policies or Admission Controllers) to enforce the following:
- Restrict deployments to images with a "scanned" tag: This ensures only images that have undergone vulnerability scanning are deployed.
- Block deployments of images with known critical vulnerabilities: This prevents deployment of images with unacceptable risks.
5. Monitor Scanning Results:
- Continuously monitor vulnerability scanning results.
- Keep track of vulnerabilities found and their severity.
- Update your policies to reflect changes in vulnerability scanning results.
6. Remediation and Patching:
- Have a process in place to remediate and patch vulnerabilities found in images.
- Work with developers and security teams to address vulnerabilities promptly.

NEW QUESTION # 22
SIMULATION
Documentation Ingress, Service, NGINX Ingress Controller
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh cks000032
Context
You must expose a web application using HTTPS routes.
Task
Create an Ingress resource named web in the prod namespace and configure it as follows:
. Route traffic for host web.k8s.local and all paths to the existing Service web
. Enable TLS termination using the existing Secret web-cert.
. Redirect HTTP requests to HTTPS .
You can test your Ingress configuration with the following command:
[candidate@cks000032]$ curl -L http://web.k8s.local
Answer:
Explanation:
See the Explanation below for complete solution
Explanation:
1) Connect to the correct host
ssh cks000032
sudo -i
2) Use admin kubeconfig
export KUBECONFIG=/etc/kubernetes/admin.conf
3) Verify prerequisites (quick check)
These should already exist per task.
kubectl -n prod get svc web
kubectl -n prod get secret web-cert
kubectl get pods -n ingress-nginx
(If the ingress controller pods exist, you're good.)
4) Create the Ingress resource
Create Ingress named web in namespace prod with:
host: web.k8s.local
all paths → Service web
TLS using Secret web-cert
HTTP → HTTPS redirect (NGINX)
cat <<EOF | kubectl apply -f -
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: web
namespace: prod
annotations:
nginx.ingress.kubernetes.io/ssl-redirect: "true"
nginx.ingress.kubernetes.io/force-ssl-redirect: "true"
spec:
ingressClassName: nginx
tls:
- hosts:
- web.k8s.local
secretName: web-cert
rules:
- host: web.k8s.local
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: web
port:
number: 80
EOF
5) Verify Ingress creation
kubectl -n prod get ingress web
kubectl -n prod describe ingress web
Confirm:
Host = web.k8s.local
TLS Secret = web-cert
Backend Service = web
6) Test HTTP → HTTPS redirect
curl -L http://web.k8s.local
Expected:
Redirects to https://web.k8s.local
Returns application response over HTTPS

NEW QUESTION # 23
You can switch the cluster/configuration context using the following command: [desk@cli] $ kubectl config use-context qa   Context: A pod fails to run because of an incorrectly specified ServiceAccount  Task: Create a new service account named backend-qa in an existing namespace qa, which must not have access to any secret. Edit the frontend pod yaml to use backend-qa service account  Note: You can find the frontend pod yaml at /home/cert_masters/frontend-pod.yaml
Answer:
Explanation:
[desk@cli] $ k create sa backend-qa -n qa sa/backend-qa created  [desk@cli] $ k get role,rolebinding -n qa No resources found in qa namespace.  [desk@cli] $ k create role backend -n qa --resource pods,namespaces,configmaps --verb list # No access to secret  [desk@cli] $ k create rolebinding backend -n qa --role backend --serviceaccount qa:backend-qa  [desk@cli] $ vim /home/cert_masters/frontend-pod.yaml apiVersion: v1 kind: Pod metadata:
name: frontend
spec:
serviceAccountName: backend-qa # Add this
image: nginx
name: frontend
[desk@cli] $ k apply -f /home/cert_masters/frontend-pod.yaml pod created
[desk@cli] $ k create sa backend-qa -n qa serviceaccount/backend-qa created  [desk@cli] $ k get role,rolebinding -n qa No resources found in qa namespace.  [desk@cli] $ k create role backend -n qa --resource pods,namespaces,configmaps --verb list role.rbac.authorization.k8s.io/backend created  [desk@cli] $ k create rolebinding backend -n qa --role backend --serviceaccount qa:backend-qa rolebinding.rbac.authorization.k8s.io/backend created  [desk@cli] $ vim /home/cert_masters/frontend-pod.yaml apiVersion: v1 kind: Pod metadata:
name: frontend
spec:
serviceAccountName: backend-qa # Add this
image: nginx
name: frontend
[desk@cli] $ k apply -f /home/cert_masters/frontend-pod.yaml pod/frontend created  https://kubernetes.io/docs/tasks ... re-service-account/

NEW QUESTION # 24
SIMULATION
Context:
Cluster: gvisor
Master node: master1
Worker node: worker1
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context gvisor
Context: This cluster has been prepared to support runtime handler, runsc as well as traditional one.
Task:
Create a RuntimeClass named not-trusted using the prepared runtime handler names runsc.
Update all Pods in the namespace server to run on newruntime.
Answer:
Explanation:
See the Explanation below
Explanation:

Explanation:
[desk@cli] $vim runtime.yaml
apiVersion: node.k8s.io/v1
kind: RuntimeClass
metadata:
name: not-trusted
handler: runsc
[desk@cli] $ k apply -f runtime.yaml
[desk@cli] $ k get pods
NAME READY STATUS RESTARTS AGE
nginx-6798fc88e8-chp6r 1/1 Running 0 11m
nginx-6798fc88e8-fs53n 1/1 Running 0 11m
nginx-6798fc88e8-ndved 1/1 Running 0 11m
[desk@cli] $ k get deploy
NAME READY UP-TO-DATE AVAILABLE AGE
nginx 3/3 11 3 5m
[desk@cli] $ k edit deploy nginx


NEW QUESTION # 25
......
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