The Linux Foundation CKS, or Certified Kubernetes Security Specialist, is a focused certification in the Kubernetes Security Specialist track. It is designed for professionals who work with Kubernetes and want to validate practical security skills across cluster and workload protection. This exam matters because it confirms your ability to secure Kubernetes environments in real-world scenarios. For administrators, engineers, and security-focused DevOps professionals, CKS is a strong proof of hands-on security knowledge.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Cluster Setup | Cluster access controls, secure baseline configuration, namespace isolation | 15% |
| 2 | Cluster Hardening | API server hardening, RBAC review, admission control configuration | 20% |
| 3 | System Hardening | Host security settings, Linux kernel protection, secure runtime permissions | 15% |
| 4 | Minimize Microservice Vulnerabilities | Least privilege access, container security context, pod security controls | 20% |
| 5 | Supply Chain Security | Image verification, trusted registries, vulnerability scanning | 15% |
| 6 | Monitoring, Logging and Runtime Security | Threat detection, audit logging, runtime behavior monitoring | 15% |
The CKS exam tests practical Kubernetes security skills, not just theory. Candidates must understand how to secure clusters, reduce application risk, and respond to runtime threats under time pressure. The exam expects strong hands-on ability, good command of Kubernetes security concepts, and the confidence to solve tasks quickly and accurately.
QA4Exam.com offers CKS Exam PDF materials with actual questions and answers, plus an Online Practice Test to strengthen your preparation. The practice test gives you a real exam simulation so you can get used to the format, pacing, and pressure of the Linux Foundation CKS exam. You also benefit from up-to-date questions and verified answers that help you focus on the right topics with confidence. With repeated practice, you can improve time management and increase your chances of passing the Certified Kubernetes Security Specialist exam on your first attempt.
CKS stands for Certified Kubernetes Security Specialist. It is a Linux Foundation certification that validates practical Kubernetes security skills for professionals who work with secure cluster and workload operations.
The exam is ideal for Kubernetes administrators, DevOps engineers, cloud engineers, and security-focused professionals who want to validate hands-on security knowledge in Kubernetes environments.
Yes, it is considered challenging because it focuses on practical tasks and secure configuration under time constraints. Strong hands-on experience with Kubernetes security concepts is important for success.
Braindumps alone are not a safe strategy. You should use QA4Exam.com dumps and practice tests as a preparation aid, but hands-on understanding and repeated practice are still important for passing the exam.
Yes, hands-on experience is highly recommended. The exam is practical, so being able to work through security tasks quickly and accurately is a major advantage.
The PDF questions and answers help you review likely exam content, while the online practice test helps you simulate the real exam and improve speed. Together, they build familiarity, confidence, and better time management for the first attempt.
QA4Exam.com provides verified answers and up-to-date questions so you can study with more confidence and focus on relevant CKS exam objectives.
The CKS preparation package includes an Exam PDF with questions and answers and an Online Practice Test designed to mirror exam-style preparation and improve your readiness.
SIMULATION
Create a PSP that will only allow the persistentvolumeclaim as the volume type in the namespace restricted.
Create a new PodSecurityPolicy named prevent-volume-policy which prevents the pods which is having different volumes mount apart from persistentvolumeclaim.
Create a new ServiceAccount named psp-sa in the namespace restricted.
Create a new ClusterRole named psp-role, which uses the newly created Pod Security Policy prevent-volume-policy
Create a new ClusterRoleBinding named psp-role-binding, which binds the created ClusterRole psp-role to the created SA psp-sa.
Hint:
Also, Check the Configuration is working or not by trying to Mount a Secret in the pod maifest, it should get failed.
POD Manifest:
apiVersion: v1
kind: Pod
metadata:
name:
spec:
containers:
- name:
image:
volumeMounts:
- name:
mountPath:
volumes:
- name:
secret:
secretName:
apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:
name: restricted
annotations:
seccomp.security.alpha.kubernetes.io/allowedProfileNames: 'docker/default,runtime/default'
apparmor.security.beta.kubernetes.io/allowedProfileNames: 'runtime/default'
seccomp.security.alpha.kubernetes.io/defaultProfileName: 'runtime/default'
apparmor.security.beta.kubernetes.io/defaultProfileName: 'runtime/default'
spec:
privileged: false
# Required to prevent escalations to root.
allowPrivilegeEscalation: false
# This is redundant with non-root + disallow privilege escalation,
# but we can provide it for defense in depth.
requiredDropCapabilities:
- ALL
# Allow core volume types.
volumes:
- 'configMap'
- 'emptyDir'
- 'projected'
- 'secret'
- 'downwardAPI'
# Assume that persistentVolumes set up by the cluster admin are safe to use.
- 'persistentVolumeClaim'
hostNetwork: false
hostIPC: false
hostPID: false
runAsUser:
# Require the container to run without root privileges.
rule: 'MustRunAsNonRoot'
seLinux:
# This policy assumes the nodes are using AppArmor rather than SELinux.
rule: 'RunAsAny'
supplementalGroups:
rule: 'MustRunAs'
ranges:
# Forbid adding the root group.
- min: 1
max: 65535
fsGroup:
rule: 'MustRunAs'
ranges:
# Forbid adding the root group.
- min: 1
max: 65535
readOnlyRootFilesystem: false
SIMULATION


Two tools are pre-installed on the cluster's worker node:
Using the tool of your choice (including any non pre-installed tool), analyze the container's behavior for at least 30 seconds, using filters that detect newly spawning and executing processes.
Store an incident file at /opt/KSRS00101/alerts/details, containing the detected incidents, one per line, in the following format:

The following example shows a properly formatted incident file:








SIMULATION
Enable audit logs in the cluster, To Do so, enable the log backend, and ensure that
1. logs are stored at /var/log/kubernetes-logs.txt.
2. Log files are retained for 12 days.
3. at maximum, a number of 8 old audit logs files are retained.
4. set the maximum size before getting rotated to 200MB
Edit and extend the basic policy to log:
1. namespaces changes at RequestResponse
2. Log the request body of secrets changes in the namespace kube-system.
3. Log all other resources in core and extensions at the Request level.
4. Log "pods/portforward", "services/proxy" at Metadata level.
5. Omit the Stage RequestReceived
All other requests at the Metadata level
Kubernetes auditing provides a security-relevant chronological set of records about a cluster. Kube-apiserver performs auditing. Each request on each stage of its execution generates an event, which is then pre-processed according to a certain policy and written to a backend. The policy determines what's recorded and the backends persist the records.
You might want to configure the audit log as part of compliance with the CIS (Center for Internet Security) Kubernetes Benchmark controls.
The audit log can be enabled by default using the following configuration incluster.yml:
services:
kube-api:
audit_log:
enabled: true
When the audit log is enabled, you should be able to see the default values at/etc/kubernetes/audit-policy.yaml
The log backend writes audit events to a file inJSONlinesformat. You can configure the log audit backend using the followingkube-apiserverflags:
--audit-log-pathspecifies the log file path that log backend uses to write audit events. Not specifying this flag disables log backend.-means standard out
--audit-log-maxagedefined the maximum number of days to retain old audit log files
--audit-log-maxbackupdefines the maximum number of audit log files to retain
--audit-log-maxsizedefines the maximum size in megabytes of the audit log file before it gets rotated
If your cluster's control plane runs the kube-apiserver as a Pod, remember to mount thehostPathto the location of the policy file and log file, so that audit records are persisted. For example:
--audit-policy-file=/etc/kubernetes/audit-policy.yaml \
--audit-log-path=/var/log/audit.log
SIMULATION
Documentation Namespace, NetworkPolicy, Pod
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh cks000031
Context
You must implement NetworkPolicies controlling the traffic flow of existing Deployments across namespaces.
Task
First, create a NetworkPolicy named deny-policy in the prod namespace to block all ingress traffic.
The prod namespace is labeled env:prod
Next, create a NetworkPolicy named allow-from-prod in the data namespace to allow ingress traffic only from Pods in the prod namespace.
Use the label of the prod names & Click to copy traffic.
The data namespace is labeled env:data
Do not modify or delete any namespaces or Pods . Only create the required NetworkPolicies.
1) Connect to the correct host
ssh cks000031
sudo -i
2) Use admin kubeconfig (safe default)
export KUBECONFIG=/etc/kubernetes/admin.conf
PART A --- Deny ALL ingress traffic in prod namespace
Requirement:
NetworkPolicy name: deny-policy
Namespace: prod (namespace is labeled env=prod)
Effect: block all ingress
3) Create deny-policy in prod
Create the policy directly with kubectl (fastest & safest):
cat <<EOF | kubectl apply -f -
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: deny-policy
namespace: prod
spec:
podSelector: {}
policyTypes:
- Ingress
EOF
What this does:
podSelector: {} selects all Pods in prod
No ingress: rules deny all ingress traffic
4) Verify
kubectl -n prod get networkpolicy deny-policy
PART B --- Allow ingress to data ONLY from Pods in prod
Requirement:
NetworkPolicy name: allow-from-prod
Namespace: data (namespace is labeled env=data)
Allow ingress only from Pods in prod namespace
Use namespace label (env=prod)
5) Create allow-from-prod policy in data
cat <<EOF | kubectl apply -f -
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: allow-from-prod
namespace: data
spec:
podSelector: {}
policyTypes:
- Ingress
ingress:
- from:
- namespaceSelector:
matchLabels:
env: prod
EOF
What this does:
Applies to all Pods in data
Allows ingress only from namespaces labeled env=prod
All other ingress traffic is denied by default
6) Verify
kubectl -n data get networkpolicy allow-from-prod
FINAL CHECK (What the examiner expects)
kubectl get networkpolicy -n prod
kubectl get networkpolicy -n data
You should see:
deny-policy in prod
allow-from-prod in data
SIMULATION
Cluster:qa-cluster
Master node:masterWorker node:worker1
You can switch the cluster/configuration context using the following command:
[desk@cli] $kubectl config use-context qa-cluster
Task:
Create a NetworkPolicy namedrestricted-policyto restrict access to Podproductrunning in namespacedev.
Only allow the following Pods to connect to Pod products-service:
1. Pods in the namespaceqa
2. Pods with labelenvironment: stage, in any namespace




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