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Linux Foundation CKS (Certified Kubernetes Security Specialist) Exam is a certification program designed to test the knowledge and skills of professionals who specialize in Kubernetes security. Kubernetes is a popular open-source container orchestration system, and as its usage grows, the need for skilled Kubernetes security specialists also increases. The CKS exam is an industry-recognized certification that validates the expertise of professionals in securing Kubernetes environments.

The CKS certification exam is a hands-on, performance-based exam that tests the candidate’s ability to perform real-world tasks related to Kubernetes security. CKS Exam is conducted online and is proctored, ensuring that the candidate’s knowledge and skills are validated in a supervised environment. CKS exam consists of 15-20 performance-based tasks that are designed to simulate real-world scenarios. The tasks are graded immediately, and the candidate receives their results within 36 hours of completing the exam.

Linux Foundation Certified Kubernetes Security Specialist (CKS) Sample Questions (Q48-Q53):

NEW QUESTION # 48
use the Trivy to scan the following images,

Answer: A

Explanation:
2. k8s.gcr.io/kube-controller-manager:v1.18.6
Look for images with HIGH or CRITICAL severity vulnerabilities and store the output of the same in /opt/trivy-vulnerable.txt


NEW QUESTION # 49
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context dev
Context:
A CIS Benchmark tool was run against the kubeadm created cluster and found multiple issues that must be addressed.
Task:
Fix all issues via configuration and restart the affected components to ensure the new settings take effect.
Fix all of the following violations that were found against the API server:
1.2.7 authorization-mode argument is not set to AlwaysAllow FAIL
1.2.8 authorization-mode argument includes Node FAIL
1.2.7 authorization-mode argument includes RBAC FAIL
Fix all of the following violations that were found against the Kubelet:
4.2.1 Ensure that the anonymous-auth argument is set to false FAIL
4.2.2 authorization-mode argument is not set to AlwaysAllow FAIL (Use Webhook autumn/authz where possible) Fix all of the following violations that were found against etcd:
2.2 Ensure that the client-cert-auth argument is set to true

Answer:

Explanation:
worker1 $ vim /var/lib/kubelet/config.yaml
anonymous:
enabled: true #Delete this
enabled: false #Replace by this
authorization:
mode: AlwaysAllow #Delete this
mode: Webhook #Replace by this
worker1 $ systemctl restart kubelet. # To reload kubelet config
ssh to master1
master1 $ vim /etc/kubernetes/manifests/kube-apiserver.yaml
- -- authorization-mode=Node,RBAC
master1 $ vim /etc/kubernetes/manifests/etcd.yaml
- --client-cert-auth=true
Explanation
ssh to worker1
worker1 $ vim /var/lib/kubelet/config.yaml
apiVersion: kubelet.config.k8s.io/v1beta1
authentication:
anonymous:
enabled: true #Delete this
enabled: false #Replace by this
webhook:
cacheTTL: 0s
enabled: true
x509:
clientCAFile: /etc/kubernetes/pki/ca.crt
authorization:
mode: AlwaysAllow #Delete this
mode: Webhook #Replace by this
webhook:
cacheAuthorizedTTL: 0s
cacheUnauthorizedTTL: 0s
cgroupDriver: systemd
clusterDNS:
- 10.96.0.10
clusterDomain: cluster.local
cpuManagerReconcilePeriod: 0s
evictionPressureTransitionPeriod: 0s
fileCheckFrequency: 0s
healthzBindAddress: 127.0.0.1
healthzPort: 10248
httpCheckFrequency: 0s
imageMinimumGCAge: 0s
kind: KubeletConfiguration
logging: {}
nodeStatusReportFrequency: 0s
nodeStatusUpdateFrequency: 0s
resolvConf: /run/systemd/resolve/resolv.conf
rotateCertificates: true
runtimeRequestTimeout: 0s
staticPodPath: /etc/kubernetes/manifests
streamingConnectionIdleTimeout: 0s
syncFrequency: 0s
volumeStatsAggPeriod: 0s
worker1 $ systemctl restart kubelet. # To reload kubelet config
ssh to master1
master1 $ vim /etc/kubernetes/manifests/kube-apiserver.yaml

master1 $ vim /etc/kubernetes/manifests/etcd.yaml


NEW QUESTION # 50
You have a microservice application running in a Kubernetes cluster with a sidecar container responsible for logging. The sidecar container has access to the main application containers sensitive data, including credentials. You need to implement a security policy to prevent the sidecar container from accessing the main application container's data.

Answer:

Explanation:
Solution (Step by Step) :
1. Create a Securitycontext for the main application container:

2. Apply the updated Deployment: bash kubectl apply -f my-app-deployment.yaml - The readOnlyRootFilesystem: true' setting in the main application container's security context prevents the sidecar container from writing to the main container's filesystem. - This ensures that the sidecar container cannot modify or access the main application's sensitive data. Important Notes: - This policy restricts the sidecar container from accessing the main containers data through the filesystem. - If the sidecar needs access to specific data, you can mount a shared volume that is read-only for the sidecar container and read-write for the main container. - It's crucial to review the security context of both main and sidecar containers to ensure that all necessary access restrictions are implemented.


NEW QUESTION # 51
SIMULATION
Enable audit logs in the cluster, To Do so, enable the log backend, and ensure that
1. logs are stored at /var/log/kubernetes/kubernetes-logs.txt.
2. Log files are retained for 5 days.
3. at maximum, a number of 10 old audit logs files are retained.
Edit and extend the basic policy to log:
1. Cronjobs changes at RequestResponse
2. Log the request body of deployments changes in the namespace kube-system.
3. Log all other resources in core and extensions at the Request level.
4. Don't log watch requests by the "system:kube-proxy" on endpoints or

Answer:

Explanation:
See the Explanation belowExplanation:





NEW QUESTION # 52
Your organization requires strict control over container image usage within your Kubernetes cluster. You want to implement a policy to prevent deployment of images from untrusted repositories. How can you achieve this while still allowing access to your organization's private registry?

Answer:

Explanation:
Solution (Step by Step) :
1. Configure PodSecurityPolicy:
- Create a PodSecurityP01icy (PSP) that restricts the use of containers from untrusted repositories.
- Define a set of allowed registries in the PSP.
2. Use ImagePullSecrets:
- Create ' ImagePuIISecretS for your organization's private registry.
- Ensure pods that need to pull images from the private registry have the corresponding ImagePullSecrets.
3. Example Implementation:
-

4. Restrict Deployments - Ensure your Deployments are configured to use the restricted PSP and the correct ImagePuIISecrets.


NEW QUESTION # 53
......

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