2026 Linux Foundation CKS–Valid Cert Guide

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Linux Foundation CKS Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: System Hardening15%- Host security controls
- Kernel and node security configuration
Topic 2: Supply Chain Security20%- Secure CI/CD practices
- Image scanning and verification
Topic 3: Monitoring, Logging and Runtime Security15%- Audit logging and monitoring
- Runtime threat detection
Topic 4: Minimizing Microservice Vulnerabilities20%- Container isolation and security contexts
- Pod security standards
Topic 5: Cluster Hardening15%- API server security
- Authentication and authorization
Topic 6: Cluster Setup15%- Secure installation configuration
- Hardening cluster components

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Valid CKS Test Objectives, CKS Valid Test Experience

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Linux Foundation Certified Kubernetes Security Specialist (CKS) Sample Questions (Q13-Q18):

NEW QUESTION # 13
You nave a Kubernetes cluster running a microservices application With various components communicating over a snared network. You want to implement a solution that allows secure communication between these components while enforcing fine-grained access control. How would you use a service mesh like Istio to achieve this?

Answer:

Explanation:
Solution (Step by Step):
1. Install Istio: Install the Istio control plane and sidecar proxies into your Kubernetes cluster. Refer to the Istio documentation for installation instructions.
2. Enable Mutual TLS: Configure Istio to enforce mutual TLS (mTLS) authentication for communication between services within the mesh. This ensures that only authorized services can communicate with each other.
- Istio Configuration: Modify the Istio configuration (e.g., istio-config_yaml')to enable mTLS:

3. Create Service Accounts: Create dedicated service accounts for each microservice within the application. - Kubernetes Service Account: Create Service Accounts for each microservice in the appropriate namespaces:

4. Configure Workload Identities: Define workload identities for each microservice. This allows ISti0 to map service accounts to their respective identities. - Istio Workload Identity: Create a Workload Identity that associates service accounts with their corresponding identities:

5. Configure Service-to-Service Access Control: IJse Istio's authorization policies to define fine-grained access control between microservices. - Istio Authorization Policy: Create authorization policies to specify which services can access specific resources:

6. Monitor and Audit: Use Istio's telemetry and tracing capabilities to monitor and audit secure communication between services. Important Notes: - Trust Domain: Ensure a consistent trust domain across all services within the mesh. - Service Account and Identity Management Manage service accounts and identities effectively to enforce access control. - Authorization Policies: Define granular policies for specific access requirements. - Auditing and Monitoring: Regularly review and audit communication patterns to identify potential security issues. - Istio Versions: Ensure compatibility With your Istio version.


NEW QUESTION # 14
You are tasked with securing a Kubernetes cluster where sensitive data is stored in ConfigMaps- The ConfigMaps are accessed by various applications running in pods, some of which are located in the 'default' namespace. You need to prevent unauthorized access to these ConfigMaps
How would you leverage Role-Based Access Control (R8AC) to restrict access to ConfigMaps, ensuring only authorized pods in the 'default namespace can access specific ConfigMaps?

Answer:

Explanation:
Solution (Step by Step) :
1. Define a Role: Create a Role named 'configmap-readerw in the 'default namespace that allows access to only specific ConfigMaps:

2. Bind the Role to a ServiceAccount: Create a ServiceAccount named 'configmap-app-sa' in the 'default' namespace and bind tne 'configmap- reader Role to it:

3. Configure Pods to use the ServiceAccount: update tne POdS running in the 'defaults namespace that need access to tnese ConfigMaps to use the 'configmap-app-sa' ServiceAccount:

The 'configmap-reader' Role grants access to the specific ConfigMaps ('sensitive-data' , Sapp-config') to pods that have the associated ServiceAccount. The 'configmap-app-sa-binding' binds this Role to the 'configmap-app-sa' ServiceAccount. PodS using this ServiceAccount Will only nave access to tne allowed ContigMaps and are restricted from accessing other ConfigMaps. Note: This approach ensures that only authorized pods in the 'default namespace can access specific ConfigMaps. You should adjust the 'resourceNameS in the Role definition to include the specific ConfigMaps that you want to restrict access to. Make sure the ServiceAccount used by the pods is granted the appropriate permissions to access the ConfigMaps. This example demonstrates how to use RBAC to restrict access to ConfigMaps, ensuring only authorized pods can access sensitive data. You should adjust the permissions and service accounts as needed to meet your specific security requirements.


NEW QUESTION # 15
You are managing a Kubernetes cluster with a deployment named 'database-deployment' running 3 replicas of a PostgreSQL database container. You need to implement a security policy that restricts the database pods from accessing the internet, allowing them to only communicate with each other and with specific external services. The allowed external services include a dedicated monitoring service at 'monitoring-example-com:8080' and a logging service at 'logging-example-com:514'. Additionally, you want to enforce this policy using NetworkPolicy.

Answer:

Explanation:
Solution (Step by Step) :
1. Create a NetworkPolicy for database pods:
- Create a YAML file named "database-networkpolicy.yamr with the following contents:


NEW QUESTION # 16
You must complete this task on the following cluster/nodes:
Cluster: trace
Master node: master
Worker node: worker1
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context trace
Given: You may use Sysdig or Falco documentation.
Task:
Use detection tools to detect anomalies like processes spawning and executing something weird frequently in the single container belonging to Pod tomcat.
Two tools are available to use:
1. falco
2. sysdig
Tools are pre-installed on the worker1 node only.
Analyse the container's behaviour for at least 40 seconds, using filters that detect newly spawning and executing processes.
Store an incident file at /home/cert_masters/report, in the following format:
[timestamp],[uid],[processName]
Note: Make sure to store incident file on the cluster's worker node, don't move it to master node.

Answer:

Explanation:
$vim /etc/falco/falco_rules.local.yaml
- rule: Container Drift Detected (open+create)
desc: New executable created in a container due to open+create
condition: >
evt.type in (open,openat,creat) and
evt.is_open_exec=true and
container and
not runc_writing_exec_fifo and
not runc_writing_var_lib_docker and
not user_known_container_drift_activities and
evt.rawres>=0
output: >
%evt.time,%user.uid,%proc.name # Add this/Refer falco documentation
priority: ERROR
$kill -1 <PID of falco>
Explanation
[desk@cli] $ ssh node01
[node01@cli] $ vim /etc/falco/falco_rules.yaml
search for Container Drift Detected & paste in falco_rules.local.yaml
[node01@cli] $ vim /etc/falco/falco_rules.local.yaml
- rule: Container Drift Detected (open+create)
desc: New executable created in a container due to open+create
condition: >
evt.type in (open,openat,creat) and
evt.is_open_exec=true and
container and
not runc_writing_exec_fifo and
not runc_writing_var_lib_docker and
not user_known_container_drift_activities and
evt.rawres>=0
output: >
%evt.time,%user.uid,%proc.name # Add this/Refer falco documentation
priority: ERROR
[node01@cli] $ vim /etc/falco/falco.yaml


NEW QUESTION # 17
Your Kubernetes cluster has several applications running in different namespaces. You want to enforce a policy where only pods within the 'monitoring' namespace can communicate witn pods in the sapi-server' namespace. How can you achieve this using NetworkPolicies?

Answer:

Explanation:
Solution (Step by Step) :
1. Create Network Policy: Create a NetworkPolicy YAML file named 'monitoring-access.yaml' to define the allowed communication:

- This policy allows ingress traffic to the 'api-server' namespace only from pods Within the 'monitoring' namespace. 2. Apply Network Policy: use 'kubectr to apply the NetworkPolicy: bash kubectl apply -f monitoring-access-yaml 3. Verify Network Policy: Check that the NetworkPolicy is applied: bash kubectl get networkpolicies -n api-server 4. Test Access: Try communicating from a pod in the 'monitoring' namespace to a pod in the 'api-server' namespace. This communication should be allowed. Try communicating from a pod in a different namespace to a pod in the 'api-server' namespace. This communication should be blocked. This NetworkPolicy restricts ingress traffic to the 'api-server' namespace. It only permits connections from pods within the 'monitoring' namespace, effectively enforcing a controlled access policy between these namespaces.


NEW QUESTION # 18
......

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