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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Minimizing Microservice Vulnerabilities | 20% | - Pod security standards - Container isolation and security contexts |
| Topic 2: Cluster Hardening | 15% | - API server security - Authentication and authorization |
| Topic 3: Cluster Setup | 15% | - Hardening cluster components - Secure installation configuration |
| Topic 4: Monitoring, Logging and Runtime Security | 15% | - Runtime threat detection - Audit logging and monitoring |
| Topic 5: System Hardening | 15% | - Host security controls - Kernel and node security configuration |
| Topic 6: Supply Chain Security | 20% | - Secure CI/CD practices - Image scanning and verification |
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NEW QUESTION # 32
SIMULATION
Create a RuntimeClass named untrusted using the prepared runtime handler named runsc.
Create a Pods of image alpine:3.13.2 in the Namespace default to run on the gVisor runtime class.
Answer:
Explanation:
See the Explanation belowExplanation:
NEW QUESTION # 33
SIMULATION
Given an existing Pod named nginx-pod running in the namespace test-system, fetch the service-account-name used and put the content in /candidate/KSC00124.txt Create a new Role named dev-test-role in the namespace test-system, which can perform update operations, on resources of type namespaces.
Create a new RoleBinding named dev-test-role-binding, which binds the newly created Role to the Pod's ServiceAccount ( found in the Nginx pod running in namespace test-system).
Answer: A
NEW QUESTION # 34
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 # 35
You need to implement a secure network policy that allows communication only between specific pods within a namespace. For example, you want to allow communication between pods that have the label 'app=frontend' and pods that have the label 'app=backend', but block all other communication within the namespace.
Answer:
Explanation:
Solution (Step by Step) :
1. Create a NetworkPolicy:
- Define a NetworkP01icy that allows communication between 'frontend' and 'backend' pods, but blocks other communication within the namespace.
2. Create a Frontend Pod: - Create a Pod with the label 'app=frontend'.
3. Create a Backend Pod: - Create a Pod With the label 'app=backend'.
4. Apply the YAML files: - Apply the created YAML files using ' kubectl apply -f 5. Verify the Network Policy: - Try to connect from the 'frontend-pod' to the 'backend-pod' (e.g., using ' kubectl exec -it frontend-pod bash' and 'curl backend-pod:80')- It should succeed. - Try to connect from the 'frontend-pod' to another pod in the namespace that doesn't have the Sapp-backend' label. This connection should be blocked.
NEW QUESTION # 36
You have a Kubernetes cluster that hosts a web application using a Deployment. The Deployment's service exposes the application on port 80. You want to restrict access to the web application to only authorized IP addresses, while allowing access to the Kubernetes API server from any IP address.
Answer:
Explanation:
Solution (Step by Step) :
1. Create a Network Policy:
- Create a Network Policy that allows access to the web application only from the authorized IP addresses.
- Here's an example network policy:
- Replace '10.0.0.0/24' With the authorized IP addresses you want to allow. - This policy allows outbound traffic to any IP address. - Create the policy using 'kubectl apply -f web-app-allow-list.yaml 2. Create a Network Policy for the Kubernetes API Server: - Create a Network Policy that allows access to the Kubernetes API server from any IP address. - Here's an example network policy:
- Create the policy using 'kubectl apply -f api-server-allow-all.yaml 3. Verify the Network Policies: - Use 'kubectl get networkpolicy -n default' to verify that the 'web-app-allow-list' Network Policy is created and 'kubectl get networkpolicy -n kube- system' to verify that the 'api-server-allow-all' Network Policy is created. 4. Test the Access: - Attempt to access the web application from a machine within the authorized IP address range. You should be able to access the application. - Attempt to access the web application from a machine outside the authorized IP address range. You should be unable to access tne application. 5. Verify API Server Access: - Try to connect to the Kubernetes API server from any machine using 'kubectl'. You should be able to connect successfully. Note: This approach assumes that the web application is running in the 'default' namespace. If it's running in a different namespace, adjust the 'namespaces field in the 'web-app-allow-list' Network Policy accordingly.
NEW QUESTION # 37
......
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