[Mar-2026] 100% Actual CKS dumps Q&As with Explanations Verified & Correct Answers
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The CKS exam is a rigorous assessment that consists of 15-20 performance-based tasks that must be completed within two hours. CKS exam is conducted online and requires candidates to have access to a Kubernetes cluster, as well as knowledge of command-line tools and Kubernetes API objects. Certified Kubernetes Security Specialist (CKS) certification is valid for two years and can be renewed by passing a recertification exam or by earning continuing education credits.
The CKS certification exam is intended for professionals with a minimum of two years of experience in Kubernetes administration and a solid understanding of security principles and practices. Candidates are required to demonstrate their proficiency in Kubernetes security by passing a rigorous, performance-based exam. CKS exam consists of 15-20 performance-based tasks that cover a wide range of security topics, including authentication, authorization, network policies, and deployment security.
NEW QUESTION # 30
Your Kubernetes cluster runs a critical application that utilizes a private Docker registry for its container images. However, you want to implement a security best practice by leveraging an image signing mechanism for the images pushed to the registry. Describe how you can enforce image signing and verify the integrity of container images before deployment.
Answer:
Explanation:
Solution (Step by Step) :
1. Choose a signing solution:
- Use a trusted signing solution like Cosign or Notary. Cosign is an open-source project by the Cloud Native Computing Foundation, while Notary is a project by The Update Framework (TUF).
- Integrate the signing solution with your CI/CD pipeline. This ensures that images are signed before they are pushed to the registry.
2. Configure the signing process:
- Generate a private signing key. Store this key securely, and use it to sign your container images.
- Configure the image signing tool to use the key. Use the appropriate command-line tool (e.g., 'cosign sign' or 'notary sign') to sign the image.
3. Push the signed images to the registry:
- Push the signed images to the registry using your CI/CD pipeline. Ensure that the signature and the image manifest are pushed together.
4. Configure Kubernetes to verify signatures:
- Use a Kubernetes admission controller like or to enforce image signature verification. These
controllers intercept container image pulls and ensure the signature is valid before allowing deployments.
5. Verify the image integrity:
- Use the image signing tool (e.g., 'cosign verify' or 'notary verify') to verify the signature of an image. Ensure that the image has not been tampered with .
Example using Cosign:
- Install Cosign using 'cosign install'
- Generate a private signing key using 'cosign generate-key-pairs.
- Sign the container image using 'cosign sign --key example/nginx:latest'
- Push the signed image to the registry.
- Deploy the image using Kubernetes and configure the admission webhook to enforce signature verification.
This process ensures that only signed and verified images are deployed to the cluster, enhancing the security of your application by protecting against unauthorized image modifications.
NEW QUESTION # 31
You have a Kubernetes cluster running a critical application with a Deployment named 'myapp-deployment. You suspect a recent image update has introduced a vulnerability that's causing the application to crash frequently.
You need to investigate this issue and determine the exact phase of the attack and the potential bad actor responsible. You have access to the following resources: Kubernetes audit logs: Enabled at the cluster level.
Container logs: Available for all pods associated with the 'myapp-deployments Network traffic logs: Captured by a network security solution. How would you use these resources to identify the attack phase, the potential bad actor, and the source of the vulnerability?
Answer:
Explanation:
Solution (Step by Step) :
1. Analyze Kubernetes Audit Logs:
Focus on events related to the 'myapp-deployment: Search for entries related to pod creation, deletion, image pulls, and resource updates. Look for suspicious activity: Pay attention to any unusual image updates, unauthorized access attempts, or resource changes that occurred around the time of the crashes.
Identify the user or service account responsible for the changes: This could point to a potential bad actor if the user'service account is not expected to modify the Deployment.
2. Examine Container Logs:
Search for crash messages and error codes: This will provide insights into the specific cause of the application crashes.
Identify any unusual or suspicious activity within the container: Look for signs of malicious processes, unauthorized network connections, or data exfiltration attempts.
3. Analyze Network Traffic Logs:
Identify the source of the compromised image: Network logs can reveal the IP address of the registry or repository from which the vulnerable image was pulled.
Examine network connections from the affected pods: Look for unusual or unauthorized outbound connections that could indicate malware or communication with a malicious server.
4. Correlate Findings:
Combine information from the different logs to build a comprehensive picture of the attack.
For example, if you find a suspicious image pull in the audit logs, and the container logs show signs of malware activity, you have strong evidence of malicious image vulnerability.
Example Code Snippets:
Kubernetes Audit Logs (using kubectl):
bash
kubectl logs -f -n kube-system kube-apiserver -c kube-apiserver | grep "myapp-deployment" | grep "Create" | grep "Image"
Container Logs (using kubectl):
bash
kubectl logs -f myapp-deployment-pod-name -c myapp
Network Traffic Logs (using a network security tool like Falco):
falco -f falco.yaml -o json
Note: The specific commands and tools may vary depending on your Kubernetes environment and security tools.
NEW QUESTION # 32
You are working on a Kubernetes cluster with multiple teams developing and deploying applications. How would you establish a secure. supply chain process that ensures all deployed images are scanned for vulnerabilities and comply with security best practices?
Answer:
Explanation:
Solution (Step by Step) :
1. Centralized Image Registry:
- Establish a centralized image registry to act as the single source of truth for all container images.
- Use a registry like Docker Hub, Harbor, or Google Container Registry (GCR), depending on your organization's needs.
2. Image Scanning Integration:
- Integrate a container image vulnerability scanner into your CI/CD pipelines.
- Utilize tools like Aqua Security, JFrog Xray, or Anchore Engine.
- Configure the scanner to run automatically during image builds and before pushing to the registry.
3. Automated Policy Enforcement:
- Implement Kubernetes policies (like Admission Controllers) to enforce security best practices.
- Define rules that block the deployment of images with:
- Unacceptable vulnerability levels (based on CVSS score or severity)
- Missing security scans (e.g., images without a "scanned" tag)
- Unauthorized image sources (restricting deployments to images from the centralized registry)
4. Image Signing:
- Implement image signing to add an extra layer of security.
- Use a trusted key to sign images in the registry.
- Configure Kubernetes to only allow images signed with the trusted key to be deployed.
- This helps prevent tampering or unauthorized modifications to images.
5. Access Control and Role-Based Access Control (RBAC):
- Implement strong access control mechanisms to limit who has access to the image registry and the Kubernetes cluster.
- Use RBAC to grant different teams specific permissions based on their responsibilities.
- For example, developers might have access to build images and push them to the registry, while deployment teams might have access to pull
images and deploy them to the cluster.
6. Security Best Practices Training:
- Educate development teams on container security best practices, such as:
- Using minimal base images
- Avoiding unnecessary dependencies
- Employing security tools like linters and analyzers
- Following secure coding practices
- Regularly review and update policies and procedures to reflect evolving security threats and industry best practices.
7. Auditing and Monitoring:
- Implement auditing and monitoring to track all image pulls, deployments, and any potential security issues.
- Use logs, security dashboards, and monitoring tools to identify and address anomalies or security breaches.
8. Continuous Improvement:
- Establish a continuous improvement process to review and refine your secure supply chain procedures.
- Regularly assess your security posture, identity areas for improvement, and implement changes to enhance your overall security.
These steps help you establish a comprehensive secure supply chain process across your Kubernetes cluster, ensuring all deployed images are scanned tor vulnerabilities, comply with security best practices, and contribute to the overall security posture of your application.
NEW QUESTION # 33
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context stage
Context:
A PodSecurityPolicy shall prevent the creation of privileged Pods in a specific namespace.
Task:
1. Create a new PodSecurityPolcy named deny-policy, which prevents the creation of privileged Pods.
2. Create a new ClusterRole name deny-access-role, which uses the newly created PodSecurityPolicy deny-policy.
3. Create a new ServiceAccount named psd-denial-sa in the existing namespace development.
Finally, create a new ClusterRoleBindind named restrict-access-bind, which binds the newly created ClusterRole deny-access-role to the newly created ServiceAccount psp-denial-sa
Answer:
Explanation:
Create psp to disallow privileged container
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: deny-access-role
rules:
- apiGroups: ['policy']
resources: ['podsecuritypolicies']
verbs: ['use']
resourceNames:
- "deny-policy"
k create sa psp-denial-sa -n development
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: restrict-access-bing
roleRef:
kind: ClusterRole
name: deny-access-role
apiGroup: rbac.authorization.k8s.io
subjects:
- kind: ServiceAccount
name: psp-denial-sa
namespace: development
Explanation
master1 $ vim psp.yaml
apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:
name: deny-policy
spec:
privileged: false # Don't allow privileged pods!
seLinux:
rule: RunAsAny
supplementalGroups:
rule: RunAsAny
runAsUser:
rule: RunAsAny
fsGroup:
rule: RunAsAny
volumes:
- '*'
master1 $ vim cr1.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: deny-access-role
rules:
- apiGroups: ['policy']
resources: ['podsecuritypolicies']
verbs: ['use']
resourceNames:
- "deny-policy"
master1 $ k create sa psp-denial-sa -n development
master1 $ vim cb1.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: restrict-access-bing
roleRef:
kind: ClusterRole
name: deny-access-role
apiGroup: rbac.authorization.k8s.io
subjects:
# Authorize specific service accounts:
- kind: ServiceAccount
name: psp-denial-sa
namespace: development
master1 $ k apply -f psp.yaml master1 $ k apply -f cr1.yaml master1 $ k apply -f cb1.yaml Reference: https://kubernetes.io/docs/concepts/policy/pod-security-policy/ master1 $ k apply -f cr1.yaml master1 $ k apply -f cb1.yaml master1 $ k apply -f psp.yaml master1 $ k apply -f cr1.yaml master1 $ k apply -f cb1.yaml Reference: https://kubernetes.io/docs/concepts/policy/pod-security-policy/
NEW QUESTION # 34
You are developing a new microservice that will be deployed to a Kubernetes cluster. You need to ensure that the Kubernetes YAML manifests for the microservice adhere to security best practices and are compatible with the clusters configuration. Implement a solution that uses KubeLinter to validate the YAML manifests before deployment.
Answer:
Explanation:
Solution (Step by Step):
1. Install KubeLinter: Download and install the 'kubevar binary from the official GitHub repository
2. Create a KubeLinter configuration file (optional): Define a .kubeval.yaml' file in the root directory of your project to specify any custom rules or checks.
3. Validate your YAML manifests using KubeLinter: Use the "kubeval' command to validate your YAML manifests against the Kubernetes schema and your custom rules.
bash
kubeval deployment.yaml service.yaml
4. Integrate KubeLinter into your CI/CD pipeline: Add a step to your pipeline that runs KubeLinter against your YAML manifests. This step should be executed before the manifests are deployed to the cluster.
5. Address any issues reported by KubeLinter. Analyze the output of KubeLinter and make the necessary changes to your YAML manifests to address any identified issues.
NEW QUESTION # 35
SIMULATION
You must complete this task on the following cluster/nodes: Cluster: immutable-cluster Master node: master1 Worker node: worker1 You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context immutable-cluster
Context: It is best practice to design containers to be stateless and immutable.
Task:
Inspect Pods running in namespace prod and delete any Pod that is either not stateless or not immutable.
Use the following strict interpretation of stateless and immutable:
1. Pods being able to store data inside containers must be treated as not stateless.
Note: You don't have to worry whether data is actually stored inside containers or not already.
2. Pods being configured to be privileged in any way must be treated as potentially not stateless or not immutable.
Answer:
Explanation:
See the Explanation belowExplanation:
Reference:
https://cloud.google.com/architecture/best-practices-for-operating-containers
NEW QUESTION # 36
SIMULATION
use the Trivy to scan the following images,
1. amazonlinux:1
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
Answer:
Explanation:
Send us you rsuggestion on it
NEW QUESTION # 37
SIMULATION
Cluster: scanner
Master node: controlplane
Worker node: worker1
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context scanner
Given:
You may use Trivy's documentation.
Task:
Use the Trivy open-source container scanner to detect images with severe vulnerabilities used by Pods in the namespace nato.
Look for images with High or Critical severity vulnerabilities and delete the Pods that use those images.
Trivy is pre-installed on the cluster's master node. Use cluster's master node to use Trivy.
Answer:
Explanation:
See the Explanation below
Explanation:
NEW QUESTION # 38
Cluster: qa-cluster
Master node: master Worker 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 named restricted-policy to restrict access to Pod product running in namespace dev.
Only allow the following Pods to connect to Pod products-service:
1. Pods in the namespace qa
2. Pods with label environment: stage, in any namespace
Answer:
Explanation:
$ k get ns qa --show-labels
NAME STATUS AGE LABELS
qa Active 47m env=stage
$ k get pods -n dev --show-labels
NAME READY STATUS RESTARTS AGE LABELS
product 1/1 Running 0 3s env=dev-team
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: restricted-policy
namespace: dev
spec:
podSelector:
matchLabels:
env: dev-team
policyTypes:
- Ingress
ingress:
- from:
- namespaceSelector:
matchLabels:
env: stage
- podSelector:
matchLabels:
env: stage
[desk@cli] $ k get ns qa --show-labels
NAME STATUS AGE LABELS
qa Active 47m env=stage
[desk@cli] $ k get pods -n dev --show-labels
NAME READY STATUS RESTARTS AGE LABELS
product 1/1 Running 0 3s env=dev-team
[desk@cli] $ vim netpol2.yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: restricted-policy
namespace: dev
spec:
podSelector:
matchLabels:
env: dev-team
policyTypes:
- Ingress
ingress:
- from:
- namespaceSelector:
matchLabels:
env: stage
- podSelector:
matchLabels:
env: stage
[desk@cli] $ k apply -f netpol2.yaml Reference: https://kubernetes.io/docs/concepts/services-networking/network-policies/
[desk@cli] $ k apply -f netpol2.yaml Reference: https://kubernetes.io/docs/concepts/services-networking/network-policies/
NEW QUESTION # 39
SIMULATION
Given an existing Pod named test-web-pod running in the namespace test-system Edit the existing Role bound to the Pod's Service Account named sa-backend to only allow performing get operations on endpoints.
Create a new Role named test-system-role-2 in the namespace test-system, which can perform patch operations, on resources of type statefulsets.
Create a new RoleBinding named test-system-role-2-binding binding the newly created Role to the Pod's ServiceAccount sa-backend.
- A. Send us your feedback on this.
Answer: A
NEW QUESTION # 40
You are running a Kubernetes cluster with a deployment named "my-app" that has been experiencing unexpected crashes. The crash logs indicate that the container's memory consumption is exceeding the resource limits defined in the deployment YAML. Explain how you can utilize the Kubernetes resource quotas and admission controller to prevent this from happening again.
Answer:
Explanation:
Solution (Step by Step) :
1. Create a ResourceQuota:
- Define a ResourceQuota that limits the resources that can be consumed by pods in a specific namespace.
- Specify the limits for CPU, memory, storage, and other resources.
- For example, to limit memory usage to 2Gi per pod in the "my-app" namespace:
2. Enable the Resourceauota Admission Controller: - Ensure that the "Resourceauota" admission controller is enabled in your Kubernetes cluster. This can usually be done by setting the 'admissioncontror flag in the 'kube-apiserver' configuration. 3. Apply the ResourceQuota: - Apply the ResourceQuota to the "my-app" namespace using 'kubectl apply -f resource-quota_yaml 4. Update the Deployment - Modify the deployment's YAML file to specify the resource requests and limits for the container, ensuring they are within the defined ResourceQuota limits. For example:
5. Apply the updated deployment - Apply the updated deployment using 'kubectl apply -f deployment.yaml' 6. Monitor and Evaluate: - Monitor the resource consumption of pods in the "my-app" namespace and adjust the ResourceQuota limits as needed to ensure that your cluster remains stable.
NEW QUESTION # 41
Your organization requires strict control over container image usage within your Kubernetes cluster. You want to implement a policy to prevent deployment of images from untrusted repositories. How can you achieve this while still allowing access to your organization's private registry?
Answer:
Explanation:
Solution (Step by Step) :
1. Configure PodSecurityPolicy:
- Create a PodSecurityP01icy (PSP) that restricts the use of containers from untrusted repositories.
- Define a set of allowed registries in the PSP.
2. Use ImagePullSecrets:
- Create ' ImagePuIISecretS for your organization's private registry.
- Ensure pods that need to pull images from the private registry have the corresponding ImagePullSecrets.
3. Example Implementation:
-
4. Restrict Deployments - Ensure your Deployments are configured to use the restricted PSP and the correct ImagePuIISecrets.
NEW QUESTION # 42
Secrets stored in the etcd is not secure at rest, you can use the etcdctl command utility to find the secret value for e.g:-
- A. ETCDCTL_API=3 etcdctl get /registry/secrets/default/cks-secret --cacert="ca.crt" --cert="server.crt" --key="server.key"
Answer: A
Explanation:
Output
Using the Encryption Configuration, Create the manifest, which secures the resource secrets using the provider AES-CBC and identity, to encrypt the secret-data at rest and ensure all secrets are encrypted with the new configuration.
NEW QUESTION # 43
Your organization has a policy requiring all Kubernetes deployments to utilize Pod Security Policies (PSPs) to enforce security best practices. You're responsible for creating a PSP that enforces the following:
- Only allows containers with a specific security context (privileged: false, runAsUser: 1000, readOnlyRootFilesystem: true)
- Restricts access to most resources by denying the 'hostPort and 'hostNetwork' capabilities.
- Prohibits the use of privileged containers.
Implement the required PSP configuration
Answer:
Explanation:
Solution (Step by Step) :
1. Create a PodSecurityPolicy:
- Define a PodSecurityP01icy named 'secure-policy' that enforces the specified security restrictions.
2. Create a PodSecurityPolicy8inding: - Bind the 'secure-policy' to a namespace or specific deployments. - This ensures that the PSP is enforced for deployments Within the bound scope.
3. Deploy the PSP: - Apply the 'secure-policy.yaml and 'secure-policy-binding.yaml files to the cluster - This will activate the PSP and enforce the defined security rules. 4. Validate PSP Enforcement - Attempt to create a deployment that violates the PSP rules. - Verifry that the deployment creation fails due to the PSP enforcement.
NEW QUESTION # 44
SIMULATION
Context
A Role bound to a Pod's ServiceAccount grants overly permissive permissions. Complete the following tasks to reduce the set of permissions.
Task
Given an existing Pod named web-pod running in the namespace security.
Edit the existing Role bound to the Pod's ServiceAccount sa-dev-1 to only allow performing watch operations, only on resources of type services.
Create a new Role named role-2 in the namespace security, which only allows performing update operations, only on resources of type namespaces.
Create a new RoleBinding named role-2-binding binding the newly created Role to the Pod's ServiceAccount.
Answer:
Explanation:
SeetheExplanationbelowExplanation:
NEW QUESTION # 45
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