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The CKS certification exam is designed for professionals who are already certified in the Kubernetes Administration (CKA) exam or have equivalent knowledge and experience. The CKS exam covers a broad range of topics related to Kubernetes security, including cluster hardening, network policies, authentication, authorization, and encryption. CKS exam also tests the candidate's ability to identify and mitigate common security threats and vulnerabilities in Kubernetes clusters.

To be eligible for the CKS Certification, candidates must have a current Certified Kubernetes Administrator (CKA) certification or a passing score on the Kubernetes Fundamentals (LFS258) course. The CKS certification exam is a proctored, online exam that consists of 15 to 20 performance-based tasks. Candidates have two hours to complete the exam and must score at least 66% to pass. CKS exam is available in multiple languages and can be taken from anywhere in the world.

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The CKS exam is a practical, performance-based exam that tests the candidate's ability to solve real-world problems related to Kubernetes security. Candidates are required to perform tasks related to securing Kubernetes clusters and applications within a given time frame. CKS Exam is conducted online, and candidates can take it from anywhere in the world.

Linux Foundation Certified Kubernetes Security Specialist (CKS) Sample Questions (Q48-Q53):

NEW QUESTION # 48
SIMULATION
A container image scanner is set up on the cluster.
Given an incomplete configuration in the directory
/etc/kubernetes/confcontrol and a functional container image scanner with HTTPS endpoint https://test-server.local.8081/image_policy
1. Enable the admission plugin.
2. Validate the control configuration and change it to implicit deny.
Finally, test the configuration by deploying the pod having the image tag as latest.

Answer:

Explanation:
SeetheExplanationbelowExplanation:
ssh-add ~/.ssh/tempprivate
eval "$(ssh-agent -s)"
cd contrib/terraform/aws
vi terraform.tfvars
terraform init
terraform apply -var-file=credentials.tfvars
ansible-playbook -i ./inventory/hosts ./cluster.yml -e ansible_ssh_user=core -e bootstrap_os=coreos -b --become-user=root --flush-cache -e ansible_user=core


NEW QUESTION # 49
You are working on a Kubernetes cluster that hosts a critical microservices application. You have identified that the application is vulnerable to a known attack vector through a specific service called "payment-service." You need to quickly implement a security measure to mitigate this attack vector while minimizing the impact on other services.
How can you use a network policy to isolate the "payment-service" from the rest of the cluster and prevent the attack without disrupting the normal functioning of other microservices?

Answer:

Explanation:
Solution (Step by Step) :
1. Identify the specific traffic flows:
- Analyze the network traffic of the "payment-service" to understand the communication patterns it uses.
- Determine which services are essential for the "payment-service" to operate correctly.
- Identify the specific ports and protocols used by the "payment-service" to communicate with those services.
2. Define the network policy:
- Create a network policy specifically for the "payment-service."
- Allow only the necessary traffic flows to and from the "payment-service."
- Block any other traffic, including potential attack vectors.
3. Deploy and test the policy:
- Apply the network policy to the cluster.
- Monitor the "payment-service" closely to ensure it continues to operate correctly.
- Test the policy with simulated attacks to confirm its effectiveness.
Example Network Policy:

This policy allows the "payment-service" to communicate only With "order-service" and "database" services while blocking all other traffic. This allows the service to continue operating normally while isolating it from the rest of the cluster and mitigating the potential attack vector.


NEW QUESTION # 50
SIMULATION
Documentation
Installing the Sidecar, PeerAuthentication, Deployments
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh cks000041
Context
A microservices-based application using unencrypted Layer 4 (L4) transport must be secured with Istio.
Task
Perform the following tasks to secure an existing application's Layer 4 (L4) transport communication using Istio.
Istio is installed to secure Layer 4 (L4) communications.
You may use your browser to access Istio's documentation.
First, ensure that all Pods in the mtls namespace have the istio-proxy sidecar injected.
Next, configure mutual authentication in strict mode for all workloads in the mtls namespace.

Answer:

Explanation:
See the Explanation below for complete solution
Explanation:
Below is the CKS exam-ready, step-by-step solution for QUESTION 15.
Follow exactly in this order. No extra changes.
QUESTION 15 - Istio mTLS (EXAM MODE)
1) Connect to the correct host
ssh cks000041
sudo -i
export KUBECONFIG=/etc/kubernetes/admin.conf
2) Ensure sidecar injection is enabled for the mtls namespace
2.1 Check current namespace labels
kubectl get ns mtls --show-labels
2.2 Enable automatic Istio sidecar injection
kubectl label namespace mtls istio-injection=enabled --overwrite
Verify:
kubectl get ns mtls --show-labels | grep istio-injection
Expected:
istio-injection=enabled
3) Ensure ALL Pods get the istio-proxy sidecar
Existing Pods will not get sidecars automatically.
You must restart workloads in the namespace.
3.1 Restart all Deployments in mtls
kubectl -n mtls rollout restart deployment
3.2 Verify Pods now have 2 containers (app + istio-proxy)
kubectl -n mtls get pods
Then check one Pod:
kubectl -n mtls get pod <pod-name> -o jsonpath='{.spec.containers[*].name}{" "}' Expected output includes:
istio-proxy
4) Configure mutual TLS (mTLS) in STRICT mode
4.1 Create a PeerAuthentication for the mtls namespace
cat <<EOF | kubectl apply -f -
apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
name: mtls-strict
namespace: mtls
spec:
mtls:
mode: STRICT
EOF
5) Verify mTLS policy is applied
kubectl -n mtls get peerauthentication
kubectl -n mtls describe peerauthentication mtls-strict
Expected:
Mode: STRICT
6) Final verification (exam confidence check)
6.1 Confirm all Pods are Running
kubectl -n mtls get pods
6.2 Confirm sidecar injection everywhere
kubectl -n mtls get pods -o jsonpath='{range .items[*]}{.metadata.name}{" -> "}{.spec.containers[*].name}{" "}{end}' Each line must include istio-proxy.


NEW QUESTION # 51
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.

Answer:

Explanation:
See the Explanation below for complete solution
Explanation:
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


NEW QUESTION # 52
You are running a web application in a Kubemetes cluster- You want to restrict access to the web application's API endpoints to specific IP addresses. Explain how to implement this using Ingress and NetworkPolicy.

Answer:

Explanation:
Solution (Step by Step) :
1. Create an Ingress Resource:
- Create an 'Ingress' resource that defines the rules for routing traffic to the web application.
- This example allows access to the API endpoints '/api/v1' and /api/v2S from the IP addresses '10.0.0.10' and '192.168.1.1'
- It also allows access to the 'r endpoint from any IP address.

2. Create a NetworkPolicy: - Create a 'NetworkPolicy' resource that enforces the IP address restrictions. - This example allows traffic from the IP addresses '10.0.0.10' and '192.168.1. I' to the web application's service. - You can create a more specific policy for each API endpoint if needed.

3. Apply the Resources: - Apply the 'Ingress' and 'NetworkPolicy' resources using 'kubectl apply' - For example: 'kubectl apply -f web-app-ingress.yaml and 'kubectl apply -f web-app-network-policy.yaml 4. Verify the Configuration: - Access the web application's API endpoints from the allowed IP addresses. - Verity that the requests are successful. - Attempt to access the API endpoints from other IP addresses. - Verify that these attempts are blocked.


NEW QUESTION # 53
......

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