CKS Test Topics Pdf - Visual CKS Cert Exam

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The CKS certification is a valuable credential for security professionals, DevOps engineers, and developers who work with Kubernetes. It demonstrates the candidate's expertise in Kubernetes security and validates their ability to secure Kubernetes applications in a variety of environments. The CKS Certification can help candidates enhance their career prospects and advance their professional goals, as it is a widely recognized and respected credential in the industry.

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The CKS Certification is vendor-neutral, which means that it is not tied to any specific technology or vendor. This enables IT professionals to demonstrate their competence in Kubernetes security, regardless of the tools or platforms they use. CKS exam covers a broad range of topics, including Kubernetes architecture and components, security best practices, network security, cluster hardening, and monitoring and logging. Successful candidates will be able to identify and mitigate security risks and vulnerabilities in Kubernetes environments.

Linux Foundation Certified Kubernetes Security Specialist (CKS) Sample Questions (Q19-Q24):

NEW QUESTION # 19
You are running a critical application within a Kubernetes cluster. Your application relies on a base image with several unnecessary packages installed. These packages increase the attack surface of your application and make it more vulnerable to exploits. You want to minimize the base image footprint to enhance the security posture of your application. Explain how you can achieve this in a production environment.

Answer:

Explanation:
Solution (Step by Step) :
1. Identify unnecessary Packages:
- Use tools like 'alpine-pkg-info' or 'dpkg -l' to list installed packages within the base image.
- Analyze the package list to identify packages that are not strictly required for your application's functionality.
- Example: If you are running a Node.js application, you might identity development tools like 'gcc' or 'make' as unnecessary.
2. Create a Custom Base Image:
- Docker-file: Start by creating a Dockefflle that inherits from a minimal base image like 'alpine:latest or 'ubuntu:latest' (depending on your application's requirements).
- Install Essential Packages: Include only the absolutely necessary packages for your application in the Dockerfile. Use the 'apt-get install' (for Debian/lJbuntu) or 'apk add' (for Alpine) commands to install these packages.
- Example Dockerfile:
FROM alpine:latest
# Install necessary packages
RIJN apk add --no-cache bash openssl curl nodejs npm
# Copy your application code
COPY _ /app
# Set working directory and execute start script
WORKDIR 'app
CMD ["npm", "start"]
3. Test the Custom Image:
- Build the custom image using 'docker build -t custom-base-image
- Create a container from the custom image and run your application to ensure everything works correctly. This step is critical to catch any compatibility issues before deploying to your Kubernetes cluster.
4. Update Your Deployments:
- Modify your Deployment YAML files to use the custom base image instead of the original image. Update the 'image' field to reference the custom base image tag.
- Example:

5. Deploy the Updated Application: - Use 'kubectl apply -f deployment_yaml to update your deployment with the new image- - Monitor the deployment to ensure a successful rollout with your minimal base image. 6. Regular - Periodically review your application's requirements and ensure that the base image still meets your needs. -As you add new features or update dependencies, you might need to add additional packages to the base image. - Keep the image as minimal as possible and use the least-privilege principle when selecting packages.


NEW QUESTION # 20
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:
k get pods -n prod
k get pod <pod-name> -n prod -o yaml | grep -E 'privileged|ReadOnlyRootFileSystem' Delete the pods which do have any of these 2 properties privileged:true or ReadOnlyRootFileSystem: false
[desk@cli]$ k get pods -n prod
NAME READY STATUS RESTARTS AGE
cms 1/1 Running 0 68m
db 1/1 Running 0 4m
nginx 1/1 Running 0 23m
[desk@cli]$ k get pod nginx -n prod -o yaml | grep -E 'privileged|RootFileSystem'
{"apiVersion":"v1","kind":"Pod","metadata":{"annotations":{},"creationTimestamp":null,"labels":{"run":"nginx"},"name":"nginx","namespace":"prod"},"spec":{"containers":[{"image":"nginx","name":"nginx","resources":{},"securityContext":{"privileged":true}}],"dnsPolicy":"ClusterFirst","restartPolicy":"Always"},"status":{}} f:privileged: {} privileged: true

[desk@cli]$ k delete pod nginx -n prod
[desk@cli]$ k get pod db -n prod -o yaml | grep -E 'privileged|RootFilesystem'

[desk@cli]$ k delete pod cms -n prod Reference: https://kubernetes.io/docs/concepts/policy/pod-security-policy/ https://cloud.google.com/architecture/best-practices-for-operating-containers Reference:
[desk@cli]$ k delete pod cms -n prod Reference: https://kubernetes.io/docs/concepts/policy/pod-security-policy/ https://cloud.google.com/architecture/best-practices-for-operating-containers


NEW QUESTION # 21
You need to configure a Kubernetes cluster to enforce the principle of least privilege for all pods in a specific namespace. This means pods should only have access to the resources they need to function correctly. For example, a web server pod should only have access to the network and the service account it requires.

Answer:

Explanation:
Solution (Step by Step) :
1. create a serviceAccount
- Create a new ServiceAccount for the web server pods.
- This ServiceAccount will be assigned a specific set of permissions.

2. Create a Role: - Define a Role that allows the ServiceAccount to access the necessary resources.

3. Create a RoleBinding: - Bind the Role to the ServiceAccount

4. Create a Pod: - Create a Pod in the 'webserver-namespace' and specify the 'serviceAccountName' as 'webserver-sa'

5. Apply the YAML files: - Apply the created YAML files using 'kubectl apply -f 6. Verify the permissions: - Try to perform actions from the webserver-pod. It should only be able to access the resources granted in the role.


NEW QUESTION # 22
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 # 23
Context
The kubeadm-created cluster's Kubernetes API server was, for testing purposes, temporarily configured to allow unauthenticated and unauthorized access granting the anonymous user duster-admin access.
Task
Reconfigure the cluster's Kubernetes API server to ensure that only authenticated and authorized REST requests are allowed.
Use authorization mode Node,RBAC and admission controller NodeRestriction.
Cleaning up, remove the ClusterRoleBinding for user system:anonymous.

Answer:

Explanation:





NEW QUESTION # 24
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