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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Supply Chain Security | 20% | - Static analysis tools - Permitted registries - Image security & scanning - Signed artifacts & verification - SBOM & CI/CD security |
| Topic 2: System Hardening | 10% | - Minimize OS attack surface - Least privilege IAM - Kernel hardening (AppArmor, seccomp) - Network access control |
| Topic 3: Cluster Hardening | 15% | - Component updates & vulnerability mitigation - API access restriction - RBAC configuration - Service account security |
| Topic 4: Cluster Setup | 15% | - Secure Ingress configuration - CIS benchmark compliance - Node metadata protection - Binary verification - Network security policies |
| Topic 5: Monitoring, Logging and Runtime Security | 20% | - Threat detection (Falco) - Behavioral analytics - Container immutability - Audit log configuration - Incident investigation |
| Topic 6: Minimize Microservice Vulnerabilities | 20% | - OPA/Gatekeeper implementation - Pod Security Standards - Secret management - Security contexts - Isolation & multi-tenancy |
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NEW QUESTION # 37
You are working on a Kubernetes cluster with multiple teams developing and deploying applications. How would you establish a secure. supply chain process that ensures all deployed images are scanned for vulnerabilities and comply with security best practices?
Answer:
Explanation:
Solution (Step by Step) :
1. Centralized Image Registry:
- Establish a centralized image registry to act as the single source of truth for all container images.
- Use a registry like Docker Hub, Harbor, or Google Container Registry (GCR), depending on your organization's needs.
2. Image Scanning Integration:
- Integrate a container image vulnerability scanner into your CI/CD pipelines.
- Utilize tools like Aqua Security, JFrog Xray, or Anchore Engine.
- Configure the scanner to run automatically during image builds and before pushing to the registry.
3. Automated Policy Enforcement:
- Implement Kubernetes policies (like Admission Controllers) to enforce security best practices.
- Define rules that block the deployment of images with:
- Unacceptable vulnerability levels (based on CVSS score or severity)
- Missing security scans (e.g., images without a "scanned" tag)
- Unauthorized image sources (restricting deployments to images from the centralized registry)
4. Image Signing:
- Implement image signing to add an extra layer of security.
- Use a trusted key to sign images in the registry.
- Configure Kubernetes to only allow images signed with the trusted key to be deployed.
- This helps prevent tampering or unauthorized modifications to images.
5. Access Control and Role-Based Access Control (RBAC):
- Implement strong access control mechanisms to limit who has access to the image registry and the Kubernetes cluster.
- Use RBAC to grant different teams specific permissions based on their responsibilities.
- For example, developers might have access to build images and push them to the registry, while deployment teams might have access to pull
images and deploy them to the cluster.
6. Security Best Practices Training:
- Educate development teams on container security best practices, such as:
- Using minimal base images
- Avoiding unnecessary dependencies
- Employing security tools like linters and analyzers
- Following secure coding practices
- Regularly review and update policies and procedures to reflect evolving security threats and industry best practices.
7. Auditing and Monitoring:
- Implement auditing and monitoring to track all image pulls, deployments, and any potential security issues.
- Use logs, security dashboards, and monitoring tools to identify and address anomalies or security breaches.
8. Continuous Improvement:
- Establish a continuous improvement process to review and refine your secure supply chain procedures.
- Regularly assess your security posture, identity areas for improvement, and implement changes to enhance your overall security.
These steps help you establish a comprehensive secure supply chain process across your Kubernetes cluster, ensuring all deployed images are scanned tor vulnerabilities, comply with security best practices, and contribute to the overall security posture of your application.
NEW QUESTION # 38
You have an application running in a Kubernetes cluster that requires access to a database hosted in a different namespace. You want to implement a secure mecnanism to allow the application to access the database witnout granting it access to all resources in the database namespace.
Answer:
Explanation:
Solution (Step by Step) :
1. Create a Service Account in the Application Namespace:
- In the application's namespace, create a service account named 'db-access-sa'
2. Create a Role in the Database Namespace:
- In the database namespace, create a custom role named 'db-access-role' that grants only the required permissions to the database.
- For example, you might grant access to specific database tables, views, or stored procedures.
- Create a custom role named 'db-access-role' in the namespace where your database is running to grant only read permissions to the database.
3. Create a ROIeBinding in the Database Namespace: - In the database namespace, create a role binding named 'db-access-binding' that associates the 'db-access-sa' service account (from the application's namespace) with the 'db-access-role'.
4. Configure Your Application: - Configure your application deployment to use the 'db-access-sa' service account. - Use the Kubernetes API to connect to the database using the provided credentials or secrets.
NEW QUESTION # 39
Analyze and edit the given Dockerfile
FROM ubuntu:latest
RUN apt-get update -y
RUN apt-install nginx -y
COPY entrypoint.sh /
ENTRYPOINT ["/entrypoint.sh"]
USER ROOT
Fixing two instructions present in the file being prominent security best practice issues Analyze and edit the deployment manifest file apiVersion: v1 kind: Pod metadata:
name: security-context-demo-2
spec:
securityContext:
runAsUser: 1000
containers:
- name: sec-ctx-demo-2
image: gcr.io/google-samples/node-hello:1.0
securityContext:
runAsUser: 0
privileged: True
allowPrivilegeEscalation: false
Fixing two fields present in the file being prominent security best practice issues Don't add or remove configuration settings; only modify the existing configuration settings Whenever you need an unprivileged user for any of the tasks, use user test-user with the user id 5487
Answer: A
NEW QUESTION # 40
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
β
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 # 41
You're designing a security policy for your Kubernetes cluster to restrict container image sources. You want to allow only images from your private registry and a few trusted public registries. How would you implement this policy using Admission Webhooks and what kind of validation logic would you implement in the webhook?
Answer:
Explanation:
Solution (Step by Step) :
1. Create Admission Webhook:
- Define a Kubernetes Admission Webhook that will intercept requests to create or modify pods.
- You'll need to create a webhook configuration and a service that will handle the validation logic-
- Example webhook configuration:
2. Implement Validation Logic (Service): - Create a service that will handle the webhook requests. This service should contain your validation logic. - The validation logic should check the container images used in the pod definitions. - Sample validation logic (Python using Flask, but you could use any language/framework): python from flask import Flask, request, jsonity import json
3. Deploy Service and Webhook: - Deploy your service and the webhook configuration. - Ensure that your service is accessible by the Kubernetes API server. 4. Test: - Create or update a pod with a container image from an allowed source. The webhook should allow it. - Create a pod with a container image from a disallowed source. The webhook should deny it.
NEW QUESTION # 42
......
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