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Professional Linux Foundation Reliable Exam Prep–Reliable CKS High Quality

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This format is for candidates who do not have the time or energy to use a computer or laptop for preparation. The Linux Foundation CKS PDF file includes real Linux Foundation CKS questions, and they can be easily printed and studied at any time. ExamCost regularly updates its PDF file to ensure that its readers have access to the updated questions.

The CKS certification is designed for security professionals, DevOps engineers, and Kubernetes administrators who want to demonstrate their expertise in securing container-based applications and Kubernetes platforms. Certified Kubernetes Security Specialist (CKS) certification is vendor-neutral and is recognized by a wide range of companies and organizations. The Linux Foundation has been at the forefront of open-source technology, and the CKS certification is a testament to their commitment to providing the highest quality training and certification programs for the technology community.

The CKS Certification Exam is a performance-based exam that assesses the candidate's ability to perform tasks related to securing a Kubernetes cluster. CKS exam covers a wide range of topics, including cluster hardening, network security, identity and access management, and container security. CKS exam is conducted online and is proctored, ensuring that the candidate's skills are evaluated fairly and accurately.

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The CKS Certification is a valuable asset for professionals seeking to advance their careers in the field of Kubernetes security. Certified Kubernetes Security Specialist (CKS) certification exam is an industry-recognized credential that demonstrates the candidate's proficiency in securing containerized applications and Kubernetes platforms. Certified Kubernetes Security Specialist (CKS) certification is also a testament to the candidate's commitment to continuous learning and professional development.

Linux Foundation Certified Kubernetes Security Specialist (CKS) Sample Questions (Q147-Q152):

NEW QUESTION # 147
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.

A. Send us your feedback on it.

Answer: A

NEW QUESTION # 148
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:
Find all the pods/deployment and edit runtimeClassName parameter to not-trusted under spec
[desk@cli] $ k edit deploy nginx
spec:
runtimeClassName: not-trusted. # Add this
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 # 149
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 # 150
You have a Kubernetes cluster running a critical application with a Deployment named 'myapp-deployment. You suspect a recent image update has introduced a vulnerability that's causing the application to crash frequently.
You need to investigate this issue and determine the exact phase of the attack and the potential bad actor responsible. You have access to the following resources: Kubernetes audit logs: Enabled at the cluster level.
Container logs: Available for all pods associated with the 'myapp-deployments Network traffic logs: Captured by a network security solution. How would you use these resources to identify the attack phase, the potential bad actor, and the source of the vulnerability?

Answer:

Explanation:
Solution (Step by Step) :
1. Analyze Kubernetes Audit Logs:
Focus on events related to the 'myapp-deployment: Search for entries related to pod creation, deletion, image pulls, and resource updates. Look for suspicious activity: Pay attention to any unusual image updates, unauthorized access attempts, or resource changes that occurred around the time of the crashes.
Identify the user or service account responsible for the changes: This could point to a potential bad actor if the user'service account is not expected to modify the Deployment.
2. Examine Container Logs:
Search for crash messages and error codes: This will provide insights into the specific cause of the application crashes.
Identify any unusual or suspicious activity within the container: Look for signs of malicious processes, unauthorized network connections, or data exfiltration attempts.
3. Analyze Network Traffic Logs:
Identify the source of the compromised image: Network logs can reveal the IP address of the registry or repository from which the vulnerable image was pulled.
Examine network connections from the affected pods: Look for unusual or unauthorized outbound connections that could indicate malware or communication with a malicious server.
4. Correlate Findings:
Combine information from the different logs to build a comprehensive picture of the attack.
For example, if you find a suspicious image pull in the audit logs, and the container logs show signs of malware activity, you have strong evidence of malicious image vulnerability.
Example Code Snippets:
Kubernetes Audit Logs (using kubectl):
bash
kubectl logs -f -n kube-system kube-apiserver -c kube-apiserver | grep "myapp-deployment" | grep "Create" | grep "Image"
Container Logs (using kubectl):
bash
kubectl logs -f myapp-deployment-pod-name -c myapp
Network Traffic Logs (using a network security tool like Falco):
falco -f falco.yaml -o json
Note: The specific commands and tools may vary depending on your Kubernetes environment and security tools.

NEW QUESTION # 151
You have a Kubernetes cluster witn multiple namespaces. One namespace, "dev", is used for development and testing purposes. You want to prevent pods in the "dev" namespace from accessing resources in other namespaces.

Answer:

Explanation:
Solution (Step by Step):
1. Apply Namespace-Level Network Policy: Create a network policy that restricts pods within the "dev" namespace from accessing any resources outside the namespace.
- Create a YAML file for the Network Policy:

2. Deploy the Network Policy: Apply the YAML file using ' kubectl apply -f networkpolicy.yamr Note: This policy allows pods within "dev" to communicate with each other but blocks communication with pods in other namespaces.

NEW QUESTION # 152
......

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