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| Section | Weight | Objectives |
|---|---|---|
| System Hardening | 10% | - Least privilege IAM - Kernel hardening (AppArmor, seccomp) - Minimize OS attack surface - Network access control |
| Supply Chain Security | 20% | - Permitted registries - Image security & scanning - Static analysis tools - Signed artifacts & verification - SBOM & CI/CD security |
| Cluster Hardening | 15% | - RBAC configuration - API access restriction - Service account security - Component updates & vulnerability mitigation |
| Cluster Setup | 15% | - Network security policies - Binary verification - Secure Ingress configuration - Node metadata protection - CIS benchmark compliance |
| Minimize Microservice Vulnerabilities | 20% | - Security contexts - Pod Security Standards - OPA/Gatekeeper implementation - Isolation & multi-tenancy - Secret management |
| Monitoring, Logging and Runtime Security | 20% | - Container immutability - Audit log configuration - Threat detection (Falco) - Behavioral analytics - Incident investigation |
>> New Linux Foundation CKS Exam Notes <<
To attempt the Linux Foundation CKS exam optimally and ace it on the first attempt, proper exam planning is crucial. Since the Certified Kubernetes Security Specialist (CKS) (CKS) exam demands a lot of time and effort, we designed the Certified Kubernetes Security Specialist (CKS) (CKS) exam dumps in such a way that you won't have to go through sleepless study nights or disturb your schedule. Before starting the Certified Kubernetes Security Specialist (CKS) (CKS) preparation, plan the amount of time you will allot to each topic, determine the topics that demand more effort and prioritize the components that possess more weightage in the Certified Kubernetes Security Specialist (CKS) (CKS) exam.
NEW QUESTION # 21
SIMULATION
Documentation
ServiceAccount, Deployment,
Projected Volumes
You must connect to the correct host . Failure to do so may
result in a zero score.
[candidate@base] $ ssh cks000033
Context
A security audit has identified a Deployment improperly handling service account tokens, which could lead to security vulnerabilities.
Task
First, modify the existing ServiceAccount stats-monitor-sa in the namespace monitoring to turn off automounting of API credentials.
Next, modify the existing Deployment stats-monitor in the namespace monitoring to inject a ServiceAccount token mounted at /var/run/secrets/kubernetes.io/serviceaccount/token.
Use a Projected Volume named token to inject the ServiceAccount token and ensure that it is mounted read-only.
The Deployment's manifest file can be found at /home/candidate/stats-monitor/deployment.yaml.
Answer:
Explanation:
See the Explanation below for complete solution
Explanation:
1) Connect to correct host
ssh cks000033
sudo -i
export KUBECONFIG=/etc/kubernetes/admin.conf
2) Patch the ServiceAccount to disable automounting
Task: turn off automounting of API credentials for stats-monitor-sa in monitoring.
kubectl -n monitoring patch sa stats-monitor-sa -p '{"automountServiceAccountToken": false}' Verify:
kubectl -n monitoring get sa stats-monitor-sa -o yaml | grep -i automount
3) Edit the Deployment manifest file
Task says to modify the manifest at:
/home/candidate/stats-monitor/deployment.yaml
vi /home/candidate/stats-monitor/deployment.yaml
4) In the Deployment, ensure it uses the ServiceAccount AND inject token via Projected Volume
4.1 Make sure Deployment uses the SA
Under:
spec: -> template: -> spec:
ensure:
serviceAccountName: stats-monitor-sa
(If it already exists, leave it; don't add extra changes beyond requirements.)
4.2 Add a projected volume named token
Under:
spec: -> template: -> spec: -> volumes:
add (or modify existing volume if present) so it is exactly:
- name: token
projected:
sources:
- serviceAccountToken:
path: token
This creates the file token inside the mounted directory, so the final path becomes:
/var/run/secrets/kubernetes.io/serviceaccount/token
4.3 Mount the projected volume read-only at the required location
Under the target container:
spec: -> template: -> spec: -> containers: -> (your container) -> volumeMounts:
Add:
- name: token
mountPath: /var/run/secrets/kubernetes.io/serviceaccount
readOnly: true
✅ This satisfies:
Projected volume name: token
Mount path: /var/run/secrets/kubernetes.io/serviceaccount/token (file inside mount) Mounted read-only
4.4 Important: Don't break default token mount behavior
Because you disabled SA automounting at the ServiceAccount level, you must explicitly mount the projected token (done above). That's the whole point of this task.
Save and exit:
:wq
5) Apply the updated Deployment
kubectl -n monitoring apply -f /home/candidate/stats-monitor/deployment.yaml Wait rollout:
kubectl -n monitoring rollout status deployment/stats-monitor
6) Verify the token file exists in the running Pod
Get a pod name:
POD=$(kubectl -n monitoring get pods -l app=stats-monitor -o jsonpath='{.items[0].metadata.name}') echo $POD Check the token file path exists:
kubectl -n monitoring exec -it $POD -- ls -l /var/run/secrets/kubernetes.io/serviceaccount/token Optional: confirm it's mounted read-only (usually shown by mount options):
kubectl -n monitoring exec -it $POD -- mount | grep /var/run/secrets/kubernetes.io/serviceaccount
✅ What the examiner checks
SA stats-monitor-sa has:
automountServiceAccountToken: false
Deployment stats-monitor mounts a projected volume named token
Token file is at:
/var/run/secrets/kubernetes.io/serviceaccount/token
Mount is readOnly: true
If label selector doesn't match (-l app=stats-monitor)
Use:
kubectl -n monitoring get pods
Then set:
POD=<paste-pod-name>
NEW QUESTION # 22
use the Trivy to scan the following images,
Answer: A
Explanation:
2. k8s.gcr.io/kube-controller-manager:v1.18.6
Look for images with HIGH or CRITICAL severity vulnerabilities and store the output of the same in /opt/trivy-vulnerable.txt
NEW QUESTION # 23
You have a Kubernetes cluster running a highly sensitive microservices application. You need to implement a strict security policy wnere only pods with specific labels can communicate with each other within the same namespace. How can you achieve this using NetworkPolicies?
Answer:
Explanation:
Solution (Step by Step) :
1. Define Label-Based Access: Identify the specific labels tnat pods within tne namespace Should have to allow communication. For example, let'S say pods with the labels Sapp: serviceAS and Sapp: serviceB' should be allowed to communicate, but other pods should be isolated.
2. Create NetworkPolicy: Create a NetworkPolicy YAML file named 'strict-communication.yaml to define the communication policy:
- This policy allows pods with the labels 'app: serviceA' or Sapp: serviced' to communicate witn each other. Other pods Within the same namespace are not allowed to communicate. 3. Apply Network Policy: Apply the NetworkPolicy using 'kubectr: bash kubectl apply -f strict-communication.yaml 4. Verify Network Policy: Verify the NetworkPolicy is applied: bash kubectl get networkpolicies -n 5. Test Access: Test communication between pods within the namespace. Pods with the specified labels Capp: serviceAS and Sapp: serviceB') should be able to communicate. Other pods should not be able to communicate with each other or with the labeled pods. This NetworkPolicy enforces a strict communication policy within the namespace. It restricts communication to pods with specific labels, effectively isolating other pods within the same namespace. This policy can be tuner customized to define more granular communication rules based on labels and other pod attributes.
NEW QUESTION # 24
You are running a critical application in a Kubernetes cluster. You need to implement a solution to detect and respond to potential security threats within your application containers. Specifically, you want to monitor for unauthorized file system modifications, suspicious network connections, and unusual process behavior. How would you design and implement a container security solution using tools like Falco, AppArmor, and Kubernetes Admission Controllers to achieve these objectives?
Answer:
Explanation:
Solution (Step by Step):
1. Install and Configure Falco:
- Install Falco using the official Helm charts:
bash
helm repo add falco httpsflfalco.org/charts
helm install falco falco/falco
- Customize the Falco rules to detect specific threats:
2. Configure AppArmor: - Create a custom AppArmor profile for your application container: # Create a new AppArmor profile sudo nano /etc/apparmor.d/your-app-profile - Configure the profile to restrict file system access, network connections, and process execution:
- Load and enable the AppArmor profile: bash sudo apparmor_parser -r letc./apparmor.d/your-app-profile sudo systemctl restart apparmor 3. Implement Kubernetes Admission Controllers: - Use Kubernetes Admission Controllers to enforce container security policies at pod creation time: - Define a custom Admission Webhook to check for vulnerabilities:
- Create a Deployment to run the Admission Controller
4. Integrate and Monitor: - Integrate the Falco rules, AppArmor profile, and Kubernetes Admission Controllers within your Kubernetes Cluster - Monitor Falco alerts, AppArmor logs, and Kubernetes events to identify and investigate potential threats. This solution provides a comprehensive approach to container security, allowing you to detect and respond to threats proactively.
NEW QUESTION # 25
You need to create a Kubernetes secret that stores a password and use that secret to access a private Docker registry during pod deployment. Describe the steps you would take to create the secret and deploy a pod using the secret to pull an image from the private registry.
Answer:
Explanation:
Solution (Step by Step) :
1. Create the Secret:
- Create a secret using 'kubectl create secret docker-registry my-docker-secret -docker-server-my-private-registry.com -docker-username-your-
username --docker-password=your-password --docker-email=your-email'
- Replace 'my-private-registry-com', 'your-username', 'your-password' , and 'your-email" with your actual registry credentials.
2. Define the Pod Deployment:
- Define a pod deployment YAML file that references the newly created secret for pulling the image from the private registry:
- Replace 'my-private-registry-commy-image:latests with the actual image name and tag from your private registry. 3. Deploy the Pod: - Apply the deployment YAML using 'kubectl apply -f my-pod.yamr. 4. Verify the Pod: - Check the pod status using 'kubectl get pods' to confirm that the pod is running and using the secret to pull the image from the private registry.
NEW QUESTION # 26
......
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