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The CKS certification exam is designed to test the candidate's Kubernetes security expertise in a real-world scenario. CKS exam is conducted online and consists of multiple-choice questions, performance-based tasks, and hands-on labs. CKS exam covers a wide range of topics including Kubernetes cluster setup, network policies, pod security policies, node security, container security, and RBAC (Role-Based Access Control). The CKS Exam is a challenging exam that requires a deep understanding of Kubernetes security concepts and best practices. However, passing the exam is a great accomplishment that can help IT professionals advance their careers in the field of Kubernetes and container security.
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The CKS certification is intended for security professionals, DevOps engineers, system administrators, and anyone else who is responsible for securing Kubernetes environments. Certified Kubernetes Security Specialist (CKS) certification is highly respected in the industry, and it demonstrates that the holder has the expertise and knowledge needed to secure Kubernetes environments effectively. With the growing adoption of Kubernetes, the demand for CKS Certified professionals is only going to increase in the coming years.
NEW QUESTION # 59
SIMULATION
Context:
Cluster: gvisor
Master node: master1
Worker node: worker1
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context gvisor
Context: This cluster has been prepared to support runtime handler, runsc as well as traditional one.
Task:
Create a RuntimeClass named not-trusted using the prepared runtime handler names runsc.
Update all Pods in the namespace server to run on newruntime.
Answer:
Explanation:
See the Explanation below
Explanation:
Explanation:
[desk@cli] $vim runtime.yaml
apiVersion: node.k8s.io/v1
kind: RuntimeClass
metadata:
name: not-trusted
handler: runsc
[desk@cli] $ k apply -f runtime.yaml
[desk@cli] $ k get pods
NAME READY STATUS RESTARTS AGE
nginx-6798fc88e8-chp6r 1/1 Running 0 11m
nginx-6798fc88e8-fs53n 1/1 Running 0 11m
nginx-6798fc88e8-ndved 1/1 Running 0 11m
[desk@cli] $ k get deploy
NAME READY UP-TO-DATE AVAILABLE AGE
nginx 3/3 11 3 5m
[desk@cli] $ k edit deploy nginx
NEW QUESTION # 60
SIMULATION
Service is running on port 389 inside the system, find the process-id of the process, and stores the names of all the open-files inside the /candidate/KH77539/files.txt, and also delete the binary.
Answer: A
NEW QUESTION # 61
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 # 62
You have a container named 'my-container that runs a process with elevated privileges. The container image is based on a custom base image that includes a vulnerable library. You need to implement a security policy to restrict the container from accessing the vulnerable library and to prevent it from running with elevated privileges.
Answer:
Explanation:
Solution (Step by Step) :
1. Create a SecurityContext for the container:
2. Modify the Dockerfile to remove the vulnerable library: - Update your Dockerfile to remove the vulnerable library from the image. 3. Rebuild the image and push it to a registry: - Rebuild the image using the updated Dockerflle. - Push the updated image to your registry. 4. Apply the updated Deployment bash kubectl apply -f my-app-deployment.yaml - 'privileged: false': Prevents the container from running with root privileges. - 'allowPrivilegeEscalation: false: Disables the container's ability to escalate its privileges. - 'capabilities: drop: ["ALL"]': Removes all capabilities from the container. - Removing the vulnerable library from the Dockerfile: Prevents the container from accessing the vulnerable library during runtime. Important Notes: - These measures aim to restrict the containers access to vulnerable libraries and prevent it from running with elevated privileges. - It's crucial to update your base image and dependencies regularly to mitigate vulnerabilities. - You might need to adjust the 'capabilities' list based on the specific requirements of the container. - Always test your security policies thoroughly to ensure they are effective and do not break your application functionality.
NEW QUESTION # 63
You have a Kubernetes cluster running a critical application With a Deployment named 'critical-app-deployment' . This deployment uses a container image from a private registry hosted on a separate server. You want to secure the communication between your Kubernetes cluster and the private registry to prevent unauthorized access to your sensitive container images.
Explain how you would secure this communication using TLS/SSL certificates and describe the steps involved in configuring it.
Answer:
Explanation:
Solution (Step by Step) :
1. Generate a Self-Signed Certificate:
use OpenSSL to create a certificate and a private key:
bash
openssl req -x509 -newkey rsa:2048 -keyout server-key -out server.cn -days 365 -nodes
Replace the prompts with appropriate values for your registry server: CommonName, Organizational Unit Name, etc.
2. Configure the Registry Server:
Enable TLS/SSL: Configure the registry server to listen on HTTPS using the generated certificate and key.
Example configuration (Docker Registry):
[service "registry"]
# other configuration .
tls = true
tls_certiticate =
tls_key = "/path/to/server.key"
3. Configure Kubernetes:
Add the certificate to the Kubernetes cluster:
Create a Kubernetes Secret to store the certificate and key:
Configure the ImagePullSecret: UPdate the Deployment to use the secret
4. Verify the Configuration: Test image pulls from the deployment: Ensure that the containers can pull images from the registry using HTTPS. Verify the certificate and key are properly loaded: Use tools like 'kubectl describe secret registry-secret to confirm the secret contents. Note: This is a simplified setup for self-signed certificates. For a production environment, consider using a trusted Certificate Authority (CA) to issue certificates for enhanced security.
NEW QUESTION # 64
......
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