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Updated: Sep 19, 2026
Q & A: 66 Questions and Answers
Most Linux Foundation Certified Kubernetes Security Specialist (CKS) candidates are working IT professionals — people who can't sit in scheduled training classes. BraindumpsVCE was built for them: CKS practice questions in self-paced formats that fit around a job, not the other way around.
| Certification Vendor: | The Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Security Specialist |
| Exam Number: | CKS |
| Exam Duration: | 120 minutes |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Passing Score: | 66% |
| Real Exam Qty: | 15-20 |
| Exam Format: | Performance-based hands-on command line tasks |
| Related Certifications: | CKA (Certified Kubernetes Administrator) |
| Exam Price: | $395 USD |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored exam (remote) or at a testing center |
| Pre Condition: | CKA (Certified Kubernetes Administrator) certification is required before taking CKS |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/certified-kubernetes-security-specialist/ |
| Section | Weight | Objectives |
|---|---|---|
| Minimize Microservice Vulnerabilities | 20% | - Understand the principle of immutable containers - Configure network policies for namespace isolation - Use PSP to enforce security controls - Use AppArmor or seccomp profiles to constrain container behavior - Set appropriate security contexts for pods and containers - Use OPA Gatekeeper to enforce security controls |
| Supply Chain Security | 20% | - Understand the container build process - Sign container images and verify signatures - Use static analysis tools to detect vulnerabilities - Understand image security scanning and its workflow - Use image admission controllers to prevent use of untrusted images - Minimize base image footprint - Use distroless images for static workload - Understand the software supply chain best practices |
| Cluster Setup | 10% | - Configure TLS certificates and minimum version for etcd - Use Pod Security Policies to control security-related pod behaviors - Use role-based access control (RBAC) to minimize exposure - Understand the security implications of embedding cloud provider flags - Use Cis benchmarks to check Kubernetes cluster settings - Implement Pod-to-Pod encryption using mTLS or WireGuard - Manage sensitive information in clusters |
| Monitoring, Logging, and Runtime Security | 20% | - Falco - container security monitoring and threat detection - Audit and detect logs and events for anomalies - Perform behavioral analytics to detect malicious activity - Understand and monitor network traffic - Minimize the attack surface using container health indicators - Detect threats at the container level |
| Cluster Hardening | 15% | - Minimize admission of containers without a security context - Minimize admission of containers with FlexVolume volumes - Minimize admission of containers with sharing the host network namespace - Minimize admission of containers without seccomp profiles - Minimize admission of containers with allowPrivilegeEscalation - Minimize admission of containers that allow host namespaces - Minimize admission of containers with raw block devices - Minimize admission of containers with hostPath volumes - Minimize admission of containers with sharing the host process namespace - Minimize admission of containers without AppArmor profile - Minimize admission of containers with added capabilities - Minimize admission of privileged containers - Minimize admission of containers with capabilities assigned - Minimize admission of containers with sharing the host IPC namespace |
| System Hardening | 15% | - Modify host components to improve security - Enable audit logging - Kernel defaults and parameters using sysctl - Understand the concept of OPA (Open Policy Agent) and Gatekeeper |
Delivery takes seconds to minutes: payment clears, download links go live, and an email copy arrives almost immediately — install on as many computers as you need, and contact support if 2 hours pass with nothing. For the what-if: take the corresponding CKS exam within 60 days of purchase, and if you fail, apply for a full refund by submitting a scanned enrollment slip and your official Score Report PDF within 2 days of the exam — we process it within 7 days. Conditions: exams taken within 3 days of purchase don't qualify, the candidate's name must match the payer's, and free or expired products are excluded. Or exchange for two equal-value exam products free and keep the updates.
The Linux Foundation Certified Kubernetes Security Specialist (CKS) is the official Linux Foundation exam behind the Kubernetes Security Specialist certification at the Expert level. It's how the vendor verifies that your skills meet its standard — and how employers know they do. Related credentials include CKA (Certified Kubernetes Administrator), useful context if you're mapping a longer certification path.
15-20 questions, 120 minutes on the clock. That ratio is the real exam-within-the-exam: budget your time per question, learn to flag and move on, and rehearse in the BraindumpsVCE engine under real timing until finishing comfortably becomes your default.
The Linux Foundation Certified Kubernetes Security Specialist (CKS) blueprint divides into 6 domains, with Supply Chain Security (20%), Cluster Setup (10%), Minimize Microservice Vulnerabilities (20%) among the headline areas. Let the weightings steer your hours — they tell you where the questions concentrate. The full outline above shows every subtopic.
Registration costs $395 USD, and passing requires 66%. Credit card is the standard, secure way to pay — and note the fee applies per attempt, so a retake costs full price again. Practicing with the 66 questions from BraindumpsVCE until your mock scores clear the bar comfortably is the cheaper insurance.
CKA (Certified Kubernetes Administrator) certification is required before taking CKS Vendor policies evolve, so before booking, confirm the latest eligibility details on the official exam page (official CKS exam information).
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SIMULATION
Context
Your organization's security policy includes:
ServiceAccounts must not automount API credentials
ServiceAccount names must end in "-sa"
The Pod specified in the manifest file /home/candidate/KSCH00301 /pod-m nifest.yaml fails to schedule because of an incorrectly specified ServiceAccount.
Complete the following tasks:
Task
1. Create a new ServiceAccount named frontend-sa in the existing namespace qa. Ensure the ServiceAccount does not automount API credentials.
2. Using the manifest file at /home/candidate/KSCH00301 /pod-manifest.yaml, create the Pod.
3. Finally, clean up any unused ServiceAccounts in namespace qa.
Correct Answer:
See the Explanation below
Explanation:


SIMULATION
Context
You must fully integrate a container image scanner into the kubeadm provisioned cluster.
Task
Given an incomplete configuration located at /etc/kubernetes/bouncer and a functional container image scanner with an HTTPS endpoint at https://smooth-yak.local/review, perform the following tasks to implement a validating admission controller.
First, re-configure the API server to enable all admission plugin(s) to support the provided AdmissionConfiguration.
Next, re-configure the ImagePolicyWebhook configuration to deny images on backend failure.
Next, complete the backend configuration to point to the container image scanner's endpoint at https://smooth-yak.local/review.
Finally, to test the configuration, deploy the test resource defined in /home/candidate/vulnerable.yaml which is using an image that should be denied.
You may delete and re-create the resource as often as needed.
The container image scanner's log file is located at /var/log/nginx/access_log.
Correct Answer:
See the Explanation below for complete solution
Explanation:
Below is the CKS exam style "do-this-exactly" runbook for Q3. It includes the minimal discovery commands (so you don't guess filenames), then the exact lines/blocks to set.
QUESTION 3 - ImagePolicyWebhook (Validating Admission) - Exam Steps
0) SSH + root
ssh cks000002
sudo -i
1) Identify the provided config files (no guessing)
ls -la /etc/kubernetes/bouncer
You are looking for files typically named like:
admission_configuration.yaml (AdmissionConfiguration)
imagepolicywebhook.yaml (ImagePolicyWebhookConfiguration) OR the ImagePolicyWebhook config embedded inside the AdmissionConfiguration kubeconfig (webhook kubeconfig) If unsure which is which, quick peek:
grep -R "ImagePolicyWebhook" -n /etc/kubernetes/bouncer
grep -R "AdmissionConfiguration" -n /etc/kubernetes/bouncer
grep -R "kubeconfig" -n /etc/kubernetes/bouncer
PART A - Reconfigure API Server to enable required admission plugin(s)
2) Edit API server static pod manifest
vi /etc/kubernetes/manifests/kube-apiserver.yaml
2.1 Enable the admission plugin ImagePolicyWebhook
Find the line starting with:
- --enable-admission-plugins=
Ensure ImagePolicyWebhook is included in that comma list.
Example (your list may differ; just add ImagePolicyWebhook):
- --enable-admission-plugins=NodeRestriction,ImagePolicyWebhook
If the flag does not exist, add one line under command::
- --enable-admission-plugins=ImagePolicyWebhook
2.2 Point API server to the provided AdmissionConfiguration
In the same file, ensure this flag exists (use the file in /etc/kubernetes/bouncer that contains AdmissionConfiguration):
- --admission-control-config-file=/etc/kubernetes/bouncer/admission_configuration.yaml If your file is named differently, use the real filename you found in step 1, but keep the flag name exactly --admission-control-config-file.
Save/exit:
:wq
Static pod will restart automatically (kubelet watches the manifest).
Optional quick watch:
docker ps | grep kube-apiserver
# or:
crictl ps | grep kube-apiserver
PART B - Configure ImagePolicyWebhook to deny images on backend failure
3) Edit the ImagePolicyWebhook config
One of these is true on your cluster:
Option 1 (most common in these tasks): ImagePolicyWebhook config is a standalone file Edit the file in /etc/kubernetes/bouncer that contains kind: ImagePolicyWebhookConfiguration:
grep -R "kind: ImagePolicyWebhookConfiguration" -n /etc/kubernetes/bouncer vi /etc/kubernetes/bouncer/<THE_FILE_YOU_FOUND>.yaml Set (or ensure) exactly:
defaultAllow: false
Option 2: ImagePolicyWebhook config is embedded inside AdmissionConfiguration Edit the AdmissionConfiguration file:
vi /etc/kubernetes/bouncer/admission_configuration.yaml
Find the plugin section for ImagePolicyWebhook and ensure the config includes:
defaultAllow: false
✅ Save/exit:
:wq
PART C - Point backend configuration to https://smooth-yak.local/review
4) Edit the webhook kubeconfig to use the scanner endpoint
Find the kubeconfig file referenced by the ImagePolicyWebhook config.
Search for kubeConfigFile:
grep -R "kubeConfigFile" -n /etc/kubernetes/bouncer
Open that kubeconfig path (example name below; yours may differ):
vi /etc/kubernetes/bouncer/kubeconfig
In kubeconfig, set the cluster server exactly:
clusters:
- cluster:
server: https://smooth-yak.local/review
✅ Save/exit:
:wq
PART D - Restart effect (make sure API server picks up config)
Because you already edited /etc/kubernetes/manifests/kube-apiserver.yaml, the API server restarted.
To be safe (and fast), force a restart by "touching" the manifest (no content change needed):
touch /etc/kubernetes/manifests/kube-apiserver.yaml
PART E - Test: apply vulnerable workload and confirm it is denied
5) Use admin kubeconfig (because old kubectl config may break)
export KUBECONFIG=/etc/kubernetes/admin.conf
kubectl get nodes
6) Deploy the test resource (should be DENIED)
kubectl apply -f /home/candidate/vulnerable.yaml
Expected: admission error/denied message.
If it already exists:
kubectl delete -f /home/candidate/vulnerable.yaml
kubectl apply -f /home/candidate/vulnerable.yaml
PART F - Verify the scanner was called (log check)
7) Check scanner access log
tail -n 50 /var/log/nginx/access_log
You should see requests hitting /review.
Quick "what to check if it doesn't deny"
Run these in order:
Confirm API server flags:
grep -n "enable-admission-plugins" /etc/kubernetes/manifests/kube-apiserver.yaml grep -n "admission-control-config-file" /etc/kubernetes/manifests/kube-apiserver.yaml Confirm deny-on-failure:
grep -R "defaultAllow" -n /etc/kubernetes/bouncer
Must show:
defaultAllow: false
Confirm endpoint:
grep -R "server: https://smooth-yak.local/review" -n /etc/kubernetes/bouncer API server logs (docker runtime):
docker ps | grep kube-apiserver
docker logs $(docker ps -q --filter name=kube-apiserver) --tail 80
If you paste the output of:
ls -/etc/kubernetes/bouncer
grep -R "kind: AdmissionConfiguration" -n /etc/kubernetes/bouncer
grep -R "ImagePolicyWebhook" -n /etc/kubernetes/bouncer
SIMULATION
Documentation dockerd
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh cks000037
Task
Perform the following tasks to secure the cluster node cks000037 :
Remove user developer from the docker group.
Do not remove the user from any other group.
Reconfigure and restart the Docker daemon to ensure that the socket
file located at /var/run/docker.sock is owned by the group root.
Re-configure and restart the Docker daemon to ensure it does not listen on any TCP port.
After completing your work, ensure the Kubernetes cluster is healthy.
Correct Answer:
See the Explanation below for complete solution
Explanation:
1) Connect to the correct host
ssh cks000037
sudo -i
2) Remove user developer from the docker group ONLY
2.1 Verify current groups (optional but fast)
id developer
2.2 Remove ONLY from docker group
gpasswd -d developer docker
2.3 Verify removal
id developer
✅ docker should not appear; other groups must remain.
3) Reconfigure Docker to secure the socket and disable TCP
Docker config file:
vi /etc/docker/daemon.json
3.1 Set socket group to root and disable TCP listeners
Ensure the file contains exactly these relevant settings (merge with existing JSON if present):
{
"group": "root",
"hosts": ["unix:///var/run/docker.sock"]
}
Important:
"group": "root" → docker.sock owned by group root
"hosts" includes ONLY the unix socket (no tcp://)
If the file already exists with other keys, add/adjust only these keys and keep valid JSON (commas!).
Save and exit:
:wq
4) Restart Docker daemon
systemctl daemon-reload
systemctl restart docker
systemctl status docker --no-pager
5) Verify Docker socket ownership and permissions
ls -l /var/run/docker.sock
Expected:
srw-rw---- 1 root root ...
✅ Owner: root
✅ Group: root
6) Verify Docker is NOT listening on TCP
ss -lntp | grep docker
Expected:
No output (or nothing bound to TCP by dockerd)
Optional double-check:
ps aux | grep dockerd | grep -v grep
Ensure no -H tcp://... flags.
7) Ensure Kubernetes cluster is healthy
7.1 Check node and pods
export KUBECONFIG=/etc/kubernetes/admin.conf
kubectl get nodes
kubectl get pods -A
All nodes should be Ready, core pods Running.
SIMULATION
Fix all issues via configuration and restart the affected components to ensure the new setting takes effect.
Fix all of the following violations that were found against the API server:- a. Ensure the --authorization-mode argument includes RBAC b. Ensure the --authorization-mode argument includes Node c. Ensure that the --profiling argument is set to false Fix all of the following violations that were found against the Kubelet:- a. Ensure the --anonymous-auth argument is set to false.
b. Ensure that the --authorization-mode argument is set to Webhook.
Fix all of the following violations that were found against the ETCD:-
a. Ensure that the --auto-tls argument is not set to true
Hint: Take the use of Tool Kube-Bench
Correct Answer:
API server:
Ensure the --authorization-mode argument includes RBAC
Turn on Role Based Access Control.
Role Based Access Control (RBAC) allows fine-grained control over the operations that different entities can perform on different objects in the cluster. It is recommended to use the RBAC authorization mode.
Fix - Buildtime
Kubernetes
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
labels:
component: kube-apiserver
tier: control-plane
name: kube-apiserver
namespace: kube-system
spec:
containers:
- command:
+ - kube-apiserver
+ - --authorization-mode=RBAC,Node
image: gcr.io/google_containers/kube-apiserver-amd64:v1.6.0
livenessProbe:
failureThreshold: 8
httpGet:
host: 127.0.0.1
path: /healthz
port: 6443
scheme: HTTPS
initialDelaySeconds: 15
timeoutSeconds: 15
name: kube-apiserver-should-pass
resources:
requests:
cpu: 250m
volumeMounts:
- mountPath: /etc/kubernetes/
name: k8s
readOnly: true
- mountPath: /etc/ssl/certs
name: certs
- mountPath: /etc/pki
name: pki
hostNetwork: true
volumes:
- hostPath:
path: /etc/kubernetes
name: k8s
- hostPath:
path: /etc/ssl/certs
name: certs
- hostPath:
path: /etc/pki
name: pki
Ensure the --authorization-mode argument includes Node
Remediation: Edit the API server pod specification file /etc/kubernetes/manifests/kube-apiserver.yaml on the master node and set the --authorization-mode parameter to a value that includes Node.
--authorization-mode=Node,RBAC
Audit:
/bin/ps -ef | grep kube-apiserver | grep -v grep
Expected result:
'Node,RBAC' has 'Node'
Ensure that the --profiling argument is set to false
Remediation: Edit the API server pod specification file /etc/kubernetes/manifests/kube-apiserver.yaml on the master node and set the below parameter.
--profiling=false
Audit:
/bin/ps -ef | grep kube-apiserver | grep -v grep
Expected result:
'false' is equal to 'false'
Fix all of the following violations that were found against the Kubelet:- Ensure the --anonymous-auth argument is set to false.
Remediation: If using a Kubelet config file, edit the file to set authentication: anonymous: enabled to false. If using executable arguments, edit the kubelet service file /etc/systemd/system/kubelet.service.d/10-kubeadm.conf on each worker node and set the below parameter in KUBELET_SYSTEM_PODS_ARGS variable.
--anonymous-auth=false
Based on your system, restart the kubelet service. For example:
systemctl daemon-reload
systemctl restart kubelet.service
Audit:
/bin/ps -fC kubelet
Audit Config:
/bin/cat /var/lib/kubelet/config.yaml
Expected result:
'false' is equal to 'false'
2) Ensure that the --authorization-mode argument is set to Webhook.
Audit
docker inspect kubelet | jq -e '.[0].Args[] | match("--authorization-mode=Webhook").string' Returned Value: --authorization-mode=Webhook Fix all of the following violations that were found against the ETCD:- a. Ensure that the --auto-tls argument is not set to true Do not use self-signed certificates for TLS. etcd is a highly-available key value store used by Kubernetes deployments for persistent storage of all of its REST API objects. These objects are sensitive in nature and should not be available to unauthenticated clients. You should enable the client authentication via valid certificates to secure the access to the etcd service.
Fix - Buildtime
Kubernetes
apiVersion: v1
kind: Pod
metadata:
annotations:
scheduler.alpha.kubernetes.io/critical-pod: ""
creationTimestamp: null
labels:
component: etcd
tier: control-plane
name: etcd
namespace: kube-system
spec:
containers:
- command:
+ - etcd
+ - --auto-tls=true
image: k8s.gcr.io/etcd-amd64:3.2.18
imagePullPolicy: IfNotPresent
livenessProbe:
exec:
command:
- /bin/sh
- -ec
- ETCDCTL_API=3 etcdctl --endpoints=https://[192.168.22.9]:2379 --cacert=/etc/kubernetes/pki/etcd/ca.crt
--cert=/etc/kubernetes/pki/etcd/healthcheck-client.crt --key=/etc/kubernetes/pki/etcd/healthcheck-client.key get foo failureThreshold: 8 initialDelaySeconds: 15 timeoutSeconds: 15 name: etcd-should-fail resources: {} volumeMounts:
- mountPath: /var/lib/etcd
name: etcd-data
- mountPath: /etc/kubernetes/pki/etcd
name: etcd-certs
hostNetwork: true
priorityClassName: system-cluster-critical
volumes:
- hostPath:
path: /var/lib/etcd
type: DirectoryOrCreate
name: etcd-data
- hostPath:
path: /etc/kubernetes/pki/etcd
type: DirectoryOrCreate
name: etcd-certs
status: {}






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:
Correct Answer:
See the Explanation belowExplanation:
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
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