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Linux Foundation Certified Kubernetes Security Specialist (CKS) Sample Questions (Q35-Q40):

NEW QUESTION # 35
SIMULATION
Create a new NetworkPolicy named deny-all in the namespace testing which denies all traffic of type ingress and egress traffic

Answer:

Explanation:
You can create a "default" isolation policy for a namespace by creating a NetworkPolicy that selects all pods but does not allow any ingress traffic to those pods.
---
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: default-deny-ingress
spec:
podSelector: {}
policyTypes:
- Ingress
You can create a "default" egress isolation policy for a namespace by creating a NetworkPolicy that selects all pods but does not allow any egress traffic from those pods.
---
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: allow-all-egress
spec:
podSelector: {}
egress:
- {}
policyTypes:
- Egress
Default deny all ingress and all egress traffic
You can create a "default" policy for a namespace which prevents all ingress AND egress traffic by creating the following NetworkPolicy in that namespace.
---
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: default-deny-all
spec:
podSelector: {}
policyTypes:
- Ingress
- Egress
This ensures that even pods that aren't selected by any other NetworkPolicy will not be allowed ingress or egress traffic.


NEW QUESTION # 36
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 # 37
You are running a Kubernetes cluster with a deployment named "my-app" that uses a container image from a public registry. The container image has a vulnerability in a library it uses. You want to apply a security patch to the container image without rebuilding it. Explain how you would implement this using a container patching tool like 'image-patcners and update the deployment.

Answer:

Explanation:
Solution (Step by Step) :
1. Install 'image-patchers:
- Install the 'image-patcher' tool on your system or within your Kubernetes cluster. 'image-patcher' is a tool for patching container images without rebuilding thenm It allows you to modify the container image's filesystem and update libraries directly.
2. Identify the Vulnerable Library:
- Use a vulnerability scanner like Trivy to identify the specific vulnerable library within the container image.
3. Patch the Vulnerable Library:
- Use 'image-patcher' to apply the security patch to the vulnerable library within the container image.
- You can use the 'image-patcher apply' command with the patch file and tne container image name to apply the patch.
4. Create a Patched Image:
- 'image-patcher' Will generate a new, patched container image. This patched image will contain the updated library with the security fix applied.
5. Push the Patched Image to a Registry:
- Push the patched image to your private container registry for use in deployments.
6. Update the Deployment
- Update the "my-app" deployment configuration to use the newly created patched image from your private registry.
7. Validate the Patch:
- After updating the deployment, verify that the patch has been successfully applied by running a vulnerability scan on the running container.


NEW QUESTION # 38
You are responsible for securing the software supply chain for your organization, which uses a GitLab CI/CD pipeline to build and deploy containerized applications. You want to implement a robust mechanism to prevent unauthorized code changes from being introduced into the production environment. How would you utilize GitLab's built-in features and best practices to achieve this goal?

Answer:

Explanation:
Solution (Step by Step) :
1. Implement Code Review:
- Configure GitLab to enforce mandatory code reviews for all changes to production branches.
- Configure a minimum number of reviewers required for each merge request.
- Use GitLab's built-in code review features to facilitate discussion and feedback-
2. Enable Branch Protection:
- Protect the production branch by configuring the following:
- Allow only specific users or groups to merge: Restrict merge rights to authorized personnel.
- Require merge requests: Prevent direct pushes to the production branch.
- Enforce minimum approval count: Mandate a specific number of approvals for each merge request
3. Utilize GitLab CIICD Security Features:
- Dependency Scanning: Integrate GitLab's dependency scanning feature to analyze your code for known vulnerabilities in external libraries.
- Container Scanning: use GitLab'S container scanning feature to check for vulnerabilities in your Docker images before deployment.
- SAST (Static Application Security Testing): Integrate a SAST tool into your CI/CD pipeline to identify potential vulnerabilities in your code.
- DAST (Dynamic Application Security Testing): Utilize a DAST tool to test your application for security flaws during runtime.
4. Enforce Access Control:
- Implement role-based access control (RBAC) within GitLab.
- Assign roles With specific permissions to users and groups based on their responsibilities.
- Audit user activity regularly to identify any suspicious behavior.
5. Utilize GitLab'S Security Integrations:
- Integrate with Vulnerability Databases: Connect your GitLab instance to vulnerability databases such as NIST NVD to receive alerts about newly
discovered vulnerabilities.
- Integrate with Security Tools: Connect GitLab with security tools like Security Information and Event Management (SIEM) systems to automate
vulnerability reporting and incident response.
6. Develop a Secure Coding Culture:
- Promote secure coding practices within your development team.
- Provide training and resources on secure coding principles.
- Conduct regular code reviews to catch potential vulnerabilities.


NEW QUESTION # 39
SIMULATION
Context
You must implement auditing for the kubeadm provisioned cluster.
Task
First, reconfigure the cluster 's API server, so that:
. the basic audit policy located at
/etc/kubernetes/logpolicy/audit-policy.yaml is used,
. logs are stored at /var/log/kubernetes/audit-logs.txt,
. and a maximum of 2 logs are retained for 10 days.
The cluster uses the Docker Engine as its container runtime . If needed, use the docker command to troubleshoot running containers.
The basic policy only specifies what not to log.
Next, edit and extend the basic policy to log:
. namespaces interactions at RequestResponse level
. the request body of deployments interactions in the namespace webapps
. ConfigMap and Secret interactions in all namespaces at the Metadata level
. all other requests at the Metadata level
Make sure the API server uses the extended policy.
Failure to do so may result in a reduced score.

Answer:

Explanation:
See the Explanation below for complete solution
Explanation:
1) Connect to the correct host
ssh cks000028
sudo -i
(If hostname differs in your exam, use the one shown in the question banner.)
2) Edit the API server static pod manifest
API server is a static pod in kubeadm.
vi /etc/kubernetes/manifests/kube-apiserver.yaml
3) Configure API server to enable auditing
Inside the command: section, ensure ALL of the following flags exist
(add them if missing, modify if present).
3.1 Use the given audit policy file
- --audit-policy-file=/etc/kubernetes/logpolicy/audit-policy.yaml
3.2 Store audit logs at the required location
- --audit-log-path=/var/log/kubernetes/audit-logs.txt
3.3 Retain a maximum of 2 log files
- --audit-log-maxbackup=2
3.4 Retain logs for 10 days
- --audit-log-maxage=10
✅ Example (your file may have more flags - that's fine):
- command:
- kube-apiserver
- --audit-policy-file=/etc/kubernetes/logpolicy/audit-policy.yaml
- --audit-log-path=/var/log/kubernetes/audit-logs.txt
- --audit-log-maxbackup=2
- --audit-log-maxage=10
Save and exit:
:wq
The API server will auto-restart (static pod).
Optional quick check:
docker ps | grep kube-apiserver
4) Edit and EXTEND the audit policy
Open the given basic policy:
vi /etc/kubernetes/logpolicy/audit-policy.yaml
The file already contains rules for what NOT to log.
You must ADD rules BELOW them (do not delete existing ones).
5) Add the required audit rules (EXACT ORDER)
Append the following rules in this order (order matters in audit policies).
5.1 Log namespaces interactions at RequestResponse
- level: RequestResponse
resources:
- group: ""
resources: ["namespaces"]
5.2 Log deployment request bodies in namespace webapps
- level: RequestResponse
namespaces: ["webapps"]
resources:
- group: "apps"
resources: ["deployments"]
5.3 Log ConfigMap and Secret interactions (all namespaces) at Metadata
- level: Metadata
resources:
- group: ""
resources: ["configmaps", "secrets"]
5.4 Log all other requests at Metadata
This must be LAST
- level: Metadata
5.5 Final audit-policy.yaml should END like this
# (existing "do not log" rules above)
- level: RequestResponse
resources:
- group: ""
resources: ["namespaces"]
- level: RequestResponse
namespaces: ["webapps"]
resources:
- group: "apps"
resources: ["deployments"]
- level: Metadata
resources:
- group: ""
resources: ["configmaps", "secrets"]
- level: Metadata
Save and exit:
:wq
6) Make sure API server uses the EXTENDED policy
Touch the manifest to guarantee reload:
touch /etc/kubernetes/manifests/kube-apiserver.yaml
Wait a few seconds.
7) Verify auditing is working
7.1 Check audit log file exists
ls -l /var/log/kubernetes/audit-logs.txt
7.2 Generate test activity
kubectl get namespaces
kubectl get configmaps -A
7.3 Confirm logs are written
tail -n 20 /var/log/kubernetes/audit-logs.txt
You should see audit entries.


NEW QUESTION # 40
......

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