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Linux Foundation Kubernetes and Cloud Native Security Associate Sample Questions (Q10-Q15):

NEW QUESTION # 10
Given a standard Kubernetes cluster architecture comprising a single control plane node (hosting bothetcdand the control plane as Pods) and three worker nodes, which of the following data flows crosses atrust boundary
?

A. From API Server to Container Runtime
B. From kubelet to Container Runtime
C. From kubelet to API Server
D. From kubelet to Controller Manager

Answer: C

Explanation:
* Trust boundariesexist where data flows between different security domains.
* In Kubernetes:
* Communication between thekubelet (node agent)and theAPI Server (control plane)crosses the node-to-control-plane trust boundary.
* (A) Kubelet to container runtime is local, no boundary crossing.
* (C) Kubelet does not communicate directly with the controller manager.
* (D) API server does not talk directly to the container runtime; it delegates to kubelet.
* Therefore, (B) is the correct trust boundary crossing flow.
References:
CNCF Security Whitepaper - Kubernetes Threat Model: identifies node-to-control-plane communications (kubelet # API Server) as crossing trust boundaries.
Kubernetes Documentation - Cluster Architecture

NEW QUESTION # 11
Which of the following snippets from a RoleBinding correctly associates user bob with Role pod-reader ?

A. subjects:
- kind: Group
name: bob
apiGroup: rbac.authorization.k8s.io
roleRef:
kind: Role
name: pod-reader
apiGroup: rbac.authorization.k8s.io
B. subjects:
- kind: User
name: pod-reader
apiGroup: rbac.authorization.k8s.io
roleRef:
kind: Role
name: bob
apiGroup: rbac.authorization.k8s.io
C. subjects:
- kind: User
name: bob
apiGroup: rbac.authorization.k8s.io
roleRef:
kind: Role
name: pod-reader
apiGroup: rbac.authorization.k8s.io
D. subjects:
- kind: User
name: bob
apiGroup: rbac.authorization.k8s.io
roleRef:
kind: ClusterRole
name: pod-reader
apiGroup: rbac.authorization.k8s.io

Answer: C

Explanation:
Kubernetes RBAC usesRoleBindingto grant permissions defined in aRoleto asubject(user, group, or service account) within a namespace. The official example shows binding user jane to Role pod-reader:
"A RoleBinding grants the permissions defined in a Role to a user or set of users...." Example:
subjects:
- kind: User
name: jane
apiGroup: rbac.authorization.k8s.io
roleRef:
kind: Role
name: pod-reader
apiGroup: rbac.authorization.k8s.io
- Kubernetes docs, RBAC: RoleBinding and ClusterRoleBinding
OptionBmatches this pattern exactly, with name: bob as theUsersubject and roleRef pointing to theRole named pod-reader.
* Aswaps the names (subject is pod-reader, role is bob) # incorrect.
* Creferences aClusterRole, not aRole(the question asks for Role).
* Duses kind: Group even though we need theUserbob.
References:
Kubernetes Docs - Using RBAC Authorization #RoleBinding and ClusterRoleBinding: https://kubernetes.io
/docs/reference/access-authn-authz/rbac/#rolebinding-and-clusterrolebinding

NEW QUESTION # 12
Which step would give an attacker a foothold in a cluster butno long-term persistence?

A. Create restarting container on host using Docker.
B. Modify Kubernetes objects stored within etcd.
C. Modify file on host filesystem.
D. Starting a process in a running container.

Answer: D

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 # 13
What is Grafana?

A. A container orchestration platform for managing and scaling applications.
B. A cloud-native security tool for scanning and detecting vulnerabilities in Kubernetes clusters.
C. A platform for monitoring and visualizing time-series data.
D. A cloud-native distributed tracing system for monitoring microservices architectures.

Answer: C

Explanation:
* Grafana:An open-source analytics and visualization platform widely used with Prometheus, Loki, etc.
* Exact extract (Grafana Docs):"Grafana is the open-source analytics and monitoring solution for every database. It allows you to query, visualize, alert on, and understand your metrics no matter where they are stored."
* A is wrong:That describesJaeger(distributed tracing).
* B is wrong:That'sKubernetesitself.
* D is wrong:That'sTrivy/Aqua/Prismatype tools.
References:
Grafana Docs: https://grafana.com/docs/grafana/latest/

NEW QUESTION # 14
When using a cloud provider's managed Kubernetes service, who is responsible for maintaining the etcd cluster?

A. Application developer
B. Namespace administrator
C. Kubernetes administrator
D. Cloud provider

Answer: D

Explanation:
* Inmanaged Kubernetes services(EKS, GKE, AKS), the control plane is operated by thecloud provider
.
* This includesetcd, API server, controller manager, scheduler.
* Users manageworker nodes(in some models) and workloads, but not the control plane.
* Exact extract (GKE Docs):
* "The control plane, including the API server and etcd database, is managed and maintained by Google."
* Similarly forEKSandAKS, etcd is fully managed by the provider.
References:
GKE Architecture: https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-architecture EKS Architecture: https://docs.aws.amazon.com/eks/latest/userguide/eks-architecture.html AKS Docs: https://learn.microsoft.com/en-us/azure/aks/concepts-clusters-workloads

NEW QUESTION # 15
......

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