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100% Pass Quiz Linux Foundation - Pass-Sure Exam Sample CKS Online

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Linux Foundation CKS Certification is a valuable credential for IT professionals who work with Kubernetes. It demonstrates their expertise in securing Kubernetes clusters and their ability to apply best practices to real-world scenarios. Certified Kubernetes Security Specialist (CKS) certification is recognized by employers around the world and can help professionals advance their careers in the field of cloud-native computing.

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The CKS certification exam is designed to test the candidate's knowledge of Kubernetes security concepts and best practices. CKS exam covers a wide range of topics, including cluster setup, secure communication, authentication and authorization, container security, network policies, and more. CKS exam is designed to test the candidate's ability to apply these concepts to real-world scenarios.

The CKS certification exam covers a wide range of topics, including Kubernetes cluster architecture, network security, container security, access management, and security auditing. CKS Exam is designed to assess the candidate's knowledge of security best practices, as well as their ability to implement and manage security controls effectively. Certified Kubernetes Security Specialist (CKS) certification exam is vendor-neutral, which means that it is not tied to any particular technology or platform, and is recognized by organizations worldwide.

Linux Foundation Certified Kubernetes Security Specialist (CKS) Sample Questions (Q64-Q69):

NEW QUESTION # 64
You are running a Kubernetes cluster in AWS with a workload that involves sensitive data processing. You suspect that some of your pods might be compromised and are leaking data to an external server. You need to identify the compromised pods and isolate them from the network. Explain the steps you would take to achieve this, including the tools and techniques you would use to monitor network traffic, identify suspicious activity, and isolate compromised pods.

Answer:

Explanation:
Solution (Step by Step):
1. Enable Network Policy: Start by enabling network policies in your Kubernetes cluster. This will restrict network traffic between pods based on predefined rules.
Implementation:

2. Monitor Network Traffic with tools like: Kubernetes Network Policy: Analyze the network policies configured on your cluster to identify any potentially suspicious traffic patterns. Kube-Proxy: Use 'kubectl proxy' to monitor the network traffic within your cluster. Observe incoming and outgoing traffic to identify any unusual patterns. Network Security Monitoring Tools: Consider using dedicated network security monitoring tools like Suricata, Zeek, or tcpdump for more comprehensive network analysis. Implementation: bash kubectl proxy --port=8001 # Start kubectl proxy # In a separate terminal, run the following command to view traffic to a specific pod: curl -v http://localhost.'8001/api/v1/namespaces/default/pods//proxy/ # Analyze the output to identify suspicious traffic. 3. Analyze Logs for Suspicious Activity: Kubernetes Logs: I-Ise tools like ' kubectl logs to inspect the logs of your pods, especially those related to data processing. Look for signs of unauthorized access, data exfiltration attempts, or unusual activity patterns. Security Logging: Configure your cluster to collect security-related events and logs in a centralized logging system like Elasticsearch, Fluentd, and Kibana (EFK) stack. Security Monitoring Tools: Employ tools like Falco or Auditd to actively monitor and analyze security-related events within your Kubernetes cluster. Implementation: bash kubectl logs -f # View logs of the pod 4. Isolate Compromised Pods: Network Segmentation: Use network policies to restrict the network access of suspected pods. Pod Disruption Budget (PDB): Ensure that your workload doesn't become unavailable during the isolation process. Service Disruption: If the compromised pod belongs to a service, consider temporarily removing it from the service's endpoint list to isolate the compromised service instance. Implementation:

5. Investigate and Remediate: Root Cause Analysis: Once the compromised pod is isolated, perform a thorough analysis to determine the cause of the compromise. This may involve examining system logs, network traffic, and potentially performing forensic analysis on the compromised pod Security Remediation: Address the root cause of the compromise by patching vulnerabilities, updating security configurations, and nardening your systems. Recovery and Restoration: If necessary, recover data that may have been leaked and restore your system to a secure state. Implementation: bash # Investigate the cause of the compromise: kubectl logs -f # Analyze the network traffic related to the pod using kubectl proxy and network monitoring tools. # Remediate the compromise: kubectl delete pod # Replace with the name of the compromised pod # Update security configurations # Patch vulnerabilities # Consider using a new container image with updated security measures # Restore data if necessary

NEW QUESTION # 65
You need to create a Kubernetes secret that stores a password and use that secret to access a private Docker registry during pod deployment. Describe the steps you would take to create the secret and deploy a pod using the secret to pull an image from the private registry.

Answer:

Explanation:
Solution (Step by Step) :
1. Create the Secret:
- Create a secret using 'kubectl create secret docker-registry my-docker-secret -docker-server-my-private-registry.com -docker-username-your-
username --docker-password=your-password --docker-email=your-email'
- Replace 'my-private-registry-com', 'your-username', 'your-password' , and 'your-email" with your actual registry credentials.
2. Define the Pod Deployment:
- Define a pod deployment YAML file that references the newly created secret for pulling the image from the private registry:

- Replace 'my-private-registry-commy-image:latests with the actual image name and tag from your private registry. 3. Deploy the Pod: - Apply the deployment YAML using 'kubectl apply -f my-pod.yamr. 4. Verify the Pod: - Check the pod status using 'kubectl get pods' to confirm that the pod is running and using the secret to pull the image from the private registry.

NEW QUESTION # 66
SIMULATION
Create a Pod name Nginx-pod inside the namespace testing, Create a service for the Nginx-pod named nginx-svc, using the ingress of your choice, run the ingress on tls, secure port.

A. Sendusyourfeedbackonit

Answer: A

NEW QUESTION # 67
Fix all issues via configuration and restart the affected components to ensure the new setting takes effect.
Fix all of the following violations that were found against the API server:- a. Ensure that the RotateKubeletServerCertificate argument is set to true.
b. Ensure that the admission control plugin PodSecurityPolicy is set.
c. Ensure that the --kubelet-certificate-authority argument is set as appropriate.
Fix all of the following violations that were found against the Kubelet:- a. Ensure the --anonymous-auth argument is set to false.
b. Ensure that the --authorization-mode argument is set to Webhook.
Fix all of the following violations that were found against the ETCD:-
a. Ensure that the --auto-tls argument is not set to true
b. Ensure that the --peer-auto-tls argument is not set to true
Hint: Take the use of Tool Kube-Bench

Answer:

Explanation:
Fix all of the following violations that were found against the API server:- a. Ensure that the RotateKubeletServerCertificate argument is set to true.
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
labels:
component: kubelet
tier: control-plane
name: kubelet
namespace: kube-system
spec:
containers:
- command:
- kube-controller-manager
+ - --feature-gates=RotateKubeletServerCertificate=true
image: gcr.io/google_containers/kubelet-amd64:v1.6.0
livenessProbe:
failureThreshold: 8
httpGet:
host: 127.0.0.1
path: /healthz
port: 6443
scheme: HTTPS
initialDelaySeconds: 15
timeoutSeconds: 15
name: kubelet
resources:
requests:
cpu: 250m
volumeMounts:
- mountPath: /etc/kubernetes/
name: k8s
readOnly: true
- mountPath: /etc/ssl/certs
name: certs
- mountPath: /etc/pki
name: pki
hostNetwork: true
volumes:
- hostPath:
path: /etc/kubernetes
name: k8s
- hostPath:
path: /etc/ssl/certs
name: certs
- hostPath:
path: /etc/pki
name: pki
b. Ensure that the admission control plugin PodSecurityPolicy is set.
audit: "/bin/ps -ef | grep $apiserverbin | grep -v grep"
tests:
test_items:
- flag: "--enable-admission-plugins"
compare:
op: has
value: "PodSecurityPolicy"
set: true
remediation: |
Follow the documentation and create Pod Security Policy objects as per your environment.
Then, edit the API server pod specification file $apiserverconf
on the master node and set the --enable-admission-plugins parameter to a value that includes PodSecurityPolicy :
--enable-admission-plugins=...,PodSecurityPolicy,...
Then restart the API Server.
scored: true
c. Ensure that the --kubelet-certificate-authority argument is set as appropriate.
audit: "/bin/ps -ef | grep $apiserverbin | grep -v grep"
tests:
test_items:
- flag: "--kubelet-certificate-authority"
set: true
remediation: |
Follow the Kubernetes documentation and setup the TLS connection between the apiserver and kubelets. Then, edit the API server pod specification file
$apiserverconf on the master node and set the --kubelet-certificate-authority parameter to the path to the cert file for the certificate authority.
--kubelet-certificate-authority=<ca-string>
scored: true
Fix all of the following violations that were found against the ETCD:-
a. Ensure that the --auto-tls argument is not set to true
Edit the etcd pod specification file $etcdconf on the master
node and either remove the --auto-tls parameter or set it to false.
--auto-tls=false
b. Ensure that the --peer-auto-tls argument is not set to true
Edit the etcd pod specification file $etcdconf on the master
node and either remove the --peer-auto-tls parameter or set it to false.
--peer-auto-tls=false

NEW QUESTION # 68
Context
Your organization's security policy includes:
ServiceAccounts must not automount API credentials
ServiceAccount names must end in "-sa"
The Pod specified in the manifest file /home/candidate/KSCH00301 /pod-m nifest.yaml fails to schedule because of an incorrectly specified ServiceAccount.
Complete the following tasks:
Task
1. Create a new ServiceAccount named frontend-sa in the existing namespace q a. Ensure the ServiceAccount does not automount API credentials.
2. Using the manifest file at /home/candidate/KSCH00301 /pod-manifest.yaml, create the Pod.
3. Finally, clean up any unused ServiceAccounts in namespace qa.

Answer:

Explanation:

NEW QUESTION # 69
......

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