BTW, DOWNLOAD part of VCEDumps CKS dumps from Cloud Storage: https://drive.google.com/open?id=1syJW8Bn8jaD0djdE1vDUylTZ9SxQyCyB
Our CKS study guide is verified by professional expert, therefore they cover the most of knowledge points. By using the exam dumps of us, you can get a full training for the exam. CKS exam dumps also have free update for 365 days after payment, and the update version will send to your email automatically. Furthermore, we have the online and offline chat service stuff, they can give you reply of your questions about the CKS Exam Dumps. Also, you can send your problem by email, we will give you answer as quickly as we can.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cluster Setup | 15% | - Secure installation configuration - Hardening cluster components |
| Topic 2: System Hardening | 15% | - Kernel and node security configuration - Host security controls |
| Topic 3: Minimizing Microservice Vulnerabilities | 20% | - Pod security standards - Container isolation and security contexts |
| Topic 4: Cluster Hardening | 15% | - API server security - Authentication and authorization |
| Topic 5: Supply Chain Security | 20% | - Secure CI/CD practices - Image scanning and verification |
| Topic 6: Monitoring, Logging and Runtime Security | 15% | - Audit logging and monitoring - Runtime threat detection |
All our three versions are paramount versions. PDF version of CKS practice questions - it is legible to read and remember, and support customers’ printing request, so you can have a print and practice in papers. Software version of CKS guide materials - It support simulation test system, and times of setup has no restriction. Remember this version support Windows system users only. App online version of CKS study quiz - Be suitable to all kinds of equipment or digital devices.
NEW QUESTION # 18
SIMULATION
Create a RuntimeClass named untrusted using the prepared runtime handler named runsc.
Create a Pods of image alpine:3.13.2 in the Namespace default to run on the gVisor runtime class.
Answer:
Explanation:
See the Explanation belowExplanation:
NEW QUESTION # 19
You have a Kubernetes cluster with a network policy that allows access to specific ports on pods within a namespace. However, you need to restrict access to specific users based on their identity. Describe how you can implement identity-based access control using network policies in Kubernetes.
Answer:
Explanation:
Solution (Step by Step) :
1. Configure Network Policy with Ingress Rules:
- Define a network policy tnat allows incoming traffic to specific pons on pods within the namespace.
- This policy should include an 'ingress' rule specifying the allowed ports and protocols.
- For example:
2. Enable Identity-Based Authentication: - Use a Kubernetes authentication plugin to enable identity-based authentication for users connecting to the cluster - This Plugin can be configured to authenticate users using external identity providers like OpenID Connect (OIDC) or SAML. 3. Configure Network Policy with Peer Identity Rules: - Extend the network policy to include rules that specify the required user identity for incoming traffic. - Use the 'peer field within the ' ingress' rule to define the identity requirements. - For example:
4. Associate Users With Groups: - Associate the authenticated users with the appropriate groups defined in the network policy. - This can be done by configuring your authentication Plugin to map user attributes to Kubernetes groups. 5. Test the Configuration: - Test the network policy by attempting to access the pods from different users with varying identities. - Verify that only users belonging to the "developer' group can successfully connect to the specified ports. 6. Security Considerations: - Use strong authentication mechanisms for user logins. - Implement a robust identity provider to manage user identities and groups. - Ensure that the network policy rules are carefully defined to minimize the attack surface and prevent unintended access.
NEW QUESTION # 20
You are managing a Kubernetes cluster with multiple namespaces and applications. You have a sensitive application deployed in a namespace called 'sensitive-app' . This application has a service account called 'sensitive-app-sa' that requires access to a snared secret named 'shared-secret in a different namespace called 'shared-resources'. Explain how you would securely grant access to this secret without allowing 'sensitive-app-sa' to access other resources in the 'shared-resources' namespace.
Answer:
Explanation:
Solution (Step by Step) :
1. Create a Service Account in the 'sensitive-app' namespace:
- Ensure a service account named 'sensitive-app-sa' exists in the 'sensitive-app' namespace.
2. Create a Role in the 'shared-resources' namespace:
- In the 'shared-resources' namespace, create a custom role named 'shared-secret-reader.
- This role will only grant read access to the 'shared-secret' secret.
3. Create a ROIeBinding in the 'snared-resources' namespace: - In the 'shared-resources' namespace, create a role binding named 'sensitive-app-sa-binding' - This role binding associates the 'sensitive-app-sa' service account from the 'sensitive-app' namespace with the 'shared-secret-reader' role.
4. Update your Application Deployment. - Ensure that your application deployment in the 'sensitive-app' namespace is configured to use the 'sensitive-app-sa' service account.
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
You have a Kubernetes cluster with a deployment running a critical application. You need to restrict inbound network access to the pods in this deployment to only allow traffic from a specific service within the cluster. How would you achieve this using NetworkPolicy?
Answer:
Explanation:
Solution (Step by Step):
1. Create a NetworkP01icy: Define a NetworkPoliCY resource that specifies the allowed ingress traffic.
- Name: 'allow-service-access (you can choose any name)
- Namespace: The same namespace as the deployment you want to restrict.
- Spec:
- PodSeIector: This should match the pods in your deployment. You can use labels to select the pods.
- Ingress: This defines the allowed incoming traffic.
- From: Define the source of the allowed traffic.
- PodSeIector: If the traffic is coming from another deployment within the cluster, you can define the pod selector for that deployment.
- Namespaceselector: It the traffic is coming trom a service within the cluster, you can define the namespace selector.
- IPBIock: If the traffic is coming from a specific IP range, you can use 'IP310ck' to define that.
- Ports: This defines the specific ports that are allowed.
- You can either specify individual (e.g., 'tcp:80') or a port range (e.g., 'tcp:80-8080').
2. Apply the NetworkPolicy:
- Use 'kubectl apply -f networkpolicy.yamr to create the NetworkPolicy.
Example YAML for NetworkPolicy:
- The NetworkP01icy allows inbound traffic from any pod in the namespace With label - This traffic can access port 80 (TCP) on the pods with the label 'app: Important Notes: - NetworkPolicies are enforced at the pod level. If no NetworkPolicy is defined, all traffic is allowed by default. - If you need to allow traffic from multiple sources, you can define multiple 'ingress' rules within the NetworkPolicy. - Make sure you have sufficient understanding of Kubernetes Networking and NetworkPolicy concepts before implementing this.
NEW QUESTION # 23
......
You may think choosing practice at the first time is a little bit like taking gambles. However, you can be assured by our CKS learning quiz with free demos to take reference, and professional elites as your backup. Accuracy rate is unbelievably high and helped over 98 percent of exam candidates pass the exam. By imparting the knowledge of the CKS Exam to those ardent exam candidates who are eager to succeed like you, they treat it as responsibility to offer help. So please prepare to get striking progress if you can get our CKS study guide with following traits for your information
Latest CKS Exam Pattern: https://www.vcedumps.com/CKS-examcollection.html
P.S. Free 2026 Linux Foundation CKS dumps are available on Google Drive shared by VCEDumps: https://drive.google.com/open?id=1syJW8Bn8jaD0djdE1vDUylTZ9SxQyCyB