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Linux Foundation KCSA Exam Syllabus Topics:| Topic | Details | | Topic 1 | - Kubernetes Threat Model: This section of the exam measures the skills of a Cloud Security Architect and involves identifying and mitigating potential threats to a Kubernetes cluster. It requires understanding common attack vectors like privilege escalation, denial of service, malicious code execution, and network-based attacks, as well as strategies to protect sensitive data and prevent an attacker from gaining persistence within the environment.
| | Topic 2 | - Kubernetes Cluster Component Security: This section of the exam measures the skills of a Kubernetes Administrator and focuses on securing the core components that make up a Kubernetes cluster. It encompasses the security configuration and potential vulnerabilities of essential parts such as the API server, etcd, kubelet, container runtime, and networking elements, ensuring each component is hardened against attacks.
| | Topic 3 | - Kubernetes Security Fundamentals: This section of the exam measures the skills of a Kubernetes Administrator and covers the primary security mechanisms within Kubernetes. This includes implementing pod security standards and admissions, configuring robust authentication and authorization systems like RBAC, managing secrets properly, and using network policies and audit logging to enforce isolation and monitor cluster activity.
| | Topic 4 | - Overview of Cloud Native Security: This section of the exam measures the skills of a Cloud Security Architect and covers the foundational security principles of cloud-native environments. It includes an understanding of the 4Cs security model, the shared responsibility model for cloud infrastructure, common security controls and compliance frameworks, and techniques for isolating resources and securing artifacts like container images and application code.
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Linux Foundation Kubernetes and Cloud Native Security Associate Sample Questions (Q23-Q28):NEW QUESTION # 23
Which step would give an attacker a foothold in a cluster butno long-term persistence?
- A. Modify Kubernetes objects stored within etcd.
- B. Create restarting container on host using Docker.
- C. Starting a process in a running container.
- D. Modify file on host filesystem.
Answer: C
Explanation:
* Starting a process in a running containerprovides an attacker withtemporary execution (foothold) inside the cluster, but once the container is stopped or restarted, that malicious process is lost. This means the attacker has nolong-term persistence.
* Incorrect options:
* (A) Modifying objects inetcdgrants persistent access since cluster state is stored in etcd.
* (B) Modifying files on thehost filesystemcan create persistence across reboots or container restarts.
* (D) Creating a restarting container directly on the host via Docker bypasses Kubernetes but persists across pod restarts if Docker restarts it.
References:
CNCF Security Whitepaper - Threat Modeling section: Describes howephemeral processes inside containersprovide attackers short-term control but not durable persistence.
Kubernetes Documentation - Cluster Threat Model emphasizes ephemeral vs. persistent attacker footholds.
NEW QUESTION # 24
Which of the following represents a baseline security measure for containers?
- A. Configuring a static IP for each container.
- B. Run containers as the root user.
- C. Implementing access control to restrict container access.
- D. Configuring persistent storage for containers.
Answer: C
Explanation:
* Access control (RBAC, least privilege, user restrictions)is abaseline container security best practice.
* Exact extract (Kubernetes Pod Security Standards - Baseline):
* "The baseline profile is designed to prevent known privilege escalations. It prohibits running privileged containers or containers as root."
* Other options clarified:
* B: Static IPs not a security measure.
* C: Persistent storage is functionality, not security.
* D: Running as root is explicitlyinsecure.
References:
Kubernetes Docs - Pod Security Standards (Baseline): https://kubernetes.io/docs/concepts/security/pod- security-standards/
NEW QUESTION # 25
A cluster administrator wants to enforce the use of a different container runtime depending on the application a workload belongs to.
- A. By configuring amutating admission controllerwebhook that intercepts new workload creation requests and modifies the container runtime based on the application label.
- B. By manually modifying the container runtime for each workload after it has been created.
- C. By modifying the kube-apiserver configuration file to specify the desired container runtime for each application.
- D. By configuring avalidating admission controllerwebhook that verifies the container runtime based on the application label and rejects requests that do not comply.
Answer: A
Explanation:
* Kubernetes supports workload-specific runtimes viaRuntimeClass.
* Amutating admission controllercan enforce this automatically by:
* Intercepting workload creation requests.
* Modifying the Pod spec to set runtimeClassName based on labels or policies.
* Incorrect options:
* (A) Manual modification is not scalable or secure.
* (B) kube-apiserver cannot enforce per-application runtime policies.
* (C) A validating webhook can onlyreject, not modify, the runtime.
References:
Kubernetes Documentation - RuntimeClass
CNCF Security Whitepaper - Admission controllers for enforcing runtime policies.
NEW QUESTION # 26
Which standard approach to security is augmented by the 4C's of Cloud Native security?
- A. Zero Trust
- B. Least Privilege
- C. Secure-by-Design
- D. Defense-in-Depth
Answer: D
Explanation:
* The 4C's model (Cloud, Cluster, Container, Code) is presented in the official Kubernetes documentation as alayeredmodel that explicitly maps todefense-in-depth.
* Exact extracts from Kubernetes docs(security overview):
* "The 4C's of Cloud Native Security are Cloud, Clusters, Containers, and Code."
* "You can think of the 4C's asa layered approach to security; applying security measures at each layer reduces risk."
* "This layered approach is commonly known asdefense in depth."
References:
Kubernetes Docs - Security overview #The 4C's of Cloud Native Security: https://kubernetes.io/docs
/concepts/security/overview/#the-4cs-of-cloud-native-security
NEW QUESTION # 27
Which of the following statements on static Pods is true?
- A. The kubelet can run a maximum of 5 static Pods on each node.
- B. The kubelet only deploys static Pods when the kube-scheduler is unresponsive.
- C. The kubelet can run static Pods that span multiple nodes, provided that it has the necessary privileges from the API server.
- D. The kubelet schedules static Pods local to its node without going through the kube-scheduler, making tracking and managing them difficult.
Answer: D
Explanation:
* Static Podsare managed directly by thekubeleton each node.
* They arenot scheduled by the kube-schedulerand always remain bound to the node where they are defined.
* Exact extract (Kubernetes Docs - Static Pods):
* "Static Pods are managed directly by the kubelet daemon on a specific node, without the API server. They do not go through the Kubernetes scheduler."
* Clarifications:
* A: Static Pods do not span multiple nodes.
* B: No hard limit of 5 Pods per node.
* D: They are not a fallback mechanism; kubelet always manages them regardless of scheduler state.
References:
Kubernetes Docs - Static Pods: https://kubernetes.io/docs/tasks ... ntainer/static-pod/
NEW QUESTION # 28
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