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Linux Foundation CKS (Certified Kubernetes Security Specialist) Exam is a certification program that is designed to test and validate the skills of IT professionals in securing Kubernetes clusters. Kubernetes has become the most popular container orchestration system, and with its increased adoption, the need for Kubernetes security experts has also grown. The CKS certification program is aimed at IT professionals who already have a good understanding of Kubernetes and want to demonstrate their expertise in securing Kubernetes clusters.

Kubernetes is becoming increasingly popular as a container orchestration system, especially in cloud computing environments. With this growth comes the need for greater Kubernetes security expertise. The CKS Exam addresses this need by testing candidates on their abilities to secure Kubernetes clusters and work with related security tools and best practices.

>> CKS Best Practice <<

100% Free CKS – 100% Free Best Practice | Excellent Certified Kubernetes Security Specialist (CKS) PDF Guide

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The CKS exam is a valuable certification program for professionals who are responsible for securing Kubernetes environments. It provides a comprehensive evaluation of an individual's knowledge and skills in Kubernetes security and validates their expertise in this area. With the growing adoption of Kubernetes, the CKS Certification can help professionals stand out in the job market and advance their careers in this field.

Linux Foundation Certified Kubernetes Security Specialist (CKS) Sample Questions (Q28-Q33):

NEW QUESTION # 28
SIMULATION
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:
See the Explanation below
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 # 29
SIMULATION
Use the kubesec docker images to scan the given YAML manifest, edit and apply the advised changes, and passed with a score of 4 points.
kubesec-test.yaml
apiVersion: v1
kind: Pod
metadata:
name: kubesec-demo
spec:
containers:
- name: kubesec-demo
image: gcr.io/google-samples/node-hello:1.0
securityContext:
readOnlyRootFilesystem: true
Hint: docker run -i kubesec/kubesec:512c5e0 scan /dev/stdin < kubesec-test.yaml

Answer:

Explanation:
See the Explanation belowExplanation:
kubesec scan k8s-deployment.yaml
cat <<EOF > kubesec-test.yaml
apiVersion: v1
kind: Pod
metadata:
name: kubesec-demo
spec:
containers:
- name: kubesec-demo
image: gcr.io/google-samples/node-hello:1.0
securityContext:
readOnlyRootFilesystem: true
EOF
kubesec scan kubesec-test.yaml
docker run -i kubesec/kubesec:512c5e0 scan /dev/stdin < kubesec-test.yaml kubesec http 8080 &
[1] 12345
{"severity":"info","timestamp":"2019-05-12T11:58:34.662+0100","caller":"server/server.go:69","message":"Starting HTTP server on port 8080"} curl -sSX POST --data-binary @test/asset/score-0-cap-sys-admin.yml http://localhost:8080/scan
[
{
"object": "Pod/security-context-demo.default",
"valid": true,
"message": "Failed with a score of -30 points",
"score": -30,
"scoring": {
"critical": [
{
"selector": "containers[] .securityContext .capabilities .add == SYS_ADMIN",
"reason": "CAP_SYS_ADMIN is the most privileged capability and should always be avoided"
},
{
"selector": "containers[] .securityContext .runAsNonRoot == true",
"reason": "Force the running image to run as a non-root user to ensure least privilege"
},
// ...


NEW QUESTION # 30
You are managing a Kubernetes cluster With a critical application deployed as a Deployment. You need to ensure that only authorized users can access the Kubernetes API to manage this application's resources. Describe the security measures you would implement to restrict access to the Kubernetes API and ensure only authorized users can manage this specific Deployment

Answer:

Explanation:
Solution (Step by Step):
1. Create a Service Account:
- Create a dedicated Service Account for the application:

2. Configure the Deployment to use the Service Account - Update the Deployment YAML to specify the Service Account:

3. Use RBAC (Role-Based Access Control): - Create a Role and RoleBinding for the Service Account:

4. Apply the Changes: - Apply the YAML configurations using 'kubectl apply -f critical-app.yaml' 5. Restrict Access to the Kubernetes API: - Use kubeconfig files to limit access to the API for specific users or groups. - Use tools like 'kubectl auth can-i' to verify access permissions. 6. Limit Access to Specific Namespaces: - By default, Service Accounts have access to resources in their respective namespaces. - To further restrict access, create a Namespace and limit the Service Account's permissions within that namespace. By implementing these measures, you create a secure environment where only authorized users (through the Service Account) can manage the critical application's Deployment


NEW QUESTION # 31
You need to prevent unauthorized access to your Kubernetes cluster. You are implementing a policy to restrict access to the Kubernetes API server- You want to restrict access to the API server to only specific IP addresses. How can you implement this restriction?

Answer:

Explanation:
Solution (Step by Step) :
1. Contigure API Server Admission Control:
- Edit the API server configuration file C/etc/kubernetes/manifests/kube-apiserver.yaml') to enable 'AlwaysAdmit' admission control.
2. Create a Network Policy:
- Define a NetworkPoIicy that allows access from the specified IP addresses.
- Apply the NetworkPolicy to the namespace containing the Kubernetes API server.
3. Example Implementation:
-

4. Restart the API Server: - Restart the Kubernetes API server to apply the new configuration. 5. Note: - It is crucial to only allow access from trusted IP addresses to prevent potential security breaches.


NEW QUESTION # 32
SIMULATION
Using the runtime detection tool Falco, Analyse the container behavior for at least 20 seconds, using filters that detect newly spawning and executing processes in a single container of Nginx.
store the incident file art /opt/falco-incident.txt, containing the detected incidents. one per line, in the format
[timestamp],[uid],[processName]

Answer:

Explanation:
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NEW QUESTION # 33
......

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