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Linux Foundation Kubernetes and Cloud Native Security Associate Sample Questions (Q25-Q30):
NEW QUESTION # 25
In a cluster that contains Nodes withmultiple container runtimesinstalled, how can a Pod be configured to be created on a specific runtime?
- A. By setting the container runtime as an environment variable in the Pod.
- B. By modifying the Docker daemon configuration.
- C. By using a command-line flag when creating the Pod.
- D. By specifying the container runtime in the Pod's YAML file.
Answer: D
Explanation:
* Kubernetes supportsmultiple container runtimeson a node via theRuntimeClassresource.
* To select a runtime, you specify the runtimeClassName field in thePod's YAML manifest. Example:
* apiVersion: v1
* kind: Pod
* metadata:
* name: example
* spec:
* runtimeClassName: gvisor
* containers:
* - name: app
* image: nginx
* Incorrect options:
* (A) You cannot specify container runtime through a kubectl command-line flag.
* (B) Modifying the Docker daemon config does not direct Kubernetes Pods to a runtime.
* (C) Environment variables inside a Pod spec do not control container runtimes.
References:
Kubernetes Documentation - RuntimeClass
CNCF Security Whitepaper - Workload isolation via different runtimes (e.g., gVisor, Kata) for enhanced security.
NEW QUESTION # 26
Which of the following statements best describes the role of the Scheduler in Kubernetes?
- A. The Scheduler is responsible for monitoring and managing the health of the Kubernetes cluster.
- B. The Scheduler is responsible for assigning Pods to nodes based on resource availability and other constraints.
- C. The Scheduler is responsible for managing the deployment and scaling of applications in the Kubernetes cluster.
- D. The Scheduler is responsible for ensuring the security of the Kubernetes cluster and its components.
Answer: B
Explanation:
* TheKubernetes Schedulerassigns Pods to nodes based on:
* Resource requests & availability (CPU, memory, GPU, etc.)
* Constraints (affinity, taints, tolerations, topology, policies)
* Exact extract (Kubernetes Docs - Scheduler):
* "The scheduler is a control plane process that assigns Pods to Nodes. Scheduling decisions take into account resource requirements, affinity/anti-affinity, constraints, and policies."
* Other options clarified:
* A: Monitoring cluster health is theController Manager's/kubelet's job.
* B: Security is enforced throughRBAC, admission controllers, PSP/PSA, not the scheduler.
* C: Deployment scaling is handled by theController Manager(Deployment/ReplicaSet controller).
References:
Kubernetes Docs - Scheduler: https://kubernetes.io/docs/concepts/scheduling-eviction/kube-scheduler/
NEW QUESTION # 27
Which of the following is a control for Supply Chain Risk Management according to NIST 800-53 Rev. 5?
- A. System and Communications Protection
- B. Supply Chain Risk Management Plan
- C. Access Control
- D. Incident Response
Answer: B
Explanation:
* NIST SP 800-53 Rev. 5 introduces a dedicated family of controls calledSupply Chain Risk Management (SR).
* Within SR,SR-2 (Supply Chain Risk Management Plan)is a specific control.
* Exact extract from NIST 800-53 Rev. 5:
* "The organization develops and implements a supply chain risk management plan for the system, system component, or system service."
* While Access Control, System and Communications Protection, and Incident Response are control families, the correctsupply chain-specific controlis theSupply Chain Risk Management Plan (SR-2).
References:
NIST SP 800-53 Rev. 5 -Security and Privacy Controls for Information Systems and Organizations:
https://csrc.nist.gov/publications/detail/sp/800-53/rev-5/final
NEW QUESTION # 28
In a Kubernetes cluster, what are the security risks associated with using ConfigMaps for storing secrets?
- A. Using ConfigMaps for storing secrets might make applications incompatible with the Kubernetes cluster.
- B. Storing secrets in ConfigMaps can expose sensitive information as they are stored in plaintext and can be accessed by unauthorized users.
- C. Storing secrets in ConfigMaps does not allow for fine-grained access control via RBAC.
- D. ConfigMaps store sensitive information in etcd encoded in base64 format automatically, which does not ensure confidentiality of data.
Answer: B
Explanation:
* ConfigMaps are explicitly not for confidential data.
* Exact extract (ConfigMap concept):"A ConfigMap is an API object used to store non- confidential data in key-value pairs."
* Exact extract (ConfigMap concept):"ConfigMaps are not intended to hold confidential data. Use a Secret for confidential data."
* Why this is risky:data placed into a ConfigMap is stored as regular (plaintext) string values in the API and etcd (unless you deliberately use binaryData for base64 content you supply). That means if someone has read access to the namespace or to etcd/APIServer storage, they can view the values.
* Secrets vs ConfigMaps (to clarify distractor D):
* Exact extract (Secret concept):"By default, secret data is stored as unencrypted base64- encoded strings.You canenable encryption at restto protect Secrets stored in etcd."
* This base64 behavior applies toSecrets, not to ConfigMap data. Thus optionDis incorrect for ConfigMaps.
* About RBAC (to clarify distractor A):Kubernetesdoessupport fine-grained RBAC forboth ConfigMaps and Secrets; the issue isn't lack of RBAC but that ConfigMaps arenotdesigned for confidential material.
* About compatibility (to clarify distractor C):Using ConfigMaps for secrets doesn't make apps
"incompatible"; it's simplyinsecureand against guidance.
References:
Kubernetes Docs -ConfigMaps: https://kubernetes.io/docs/concepts/configuration/configmap/ Kubernetes Docs -Secrets: https://kubernetes.io/docs/concepts/configuration/secret/ Kubernetes Docs -Encrypting Secret Data at Rest: https://kubernetes.io/docs/tasks/administer-cluster
/encrypt-data/
Note: The citations above are from the official Kubernetes documentation and reflect the stated guidance that ConfigMaps are fornon-confidentialdata, while Secrets (with encryption at rest enabled) are forconfidential data, and that the 4C's map todefense in depth.
NEW QUESTION # 29
A user runs a command with kubectl to apply a change to a deployment. What is the first Kubernetes component that the request reaches?
- A. Kubernetes Scheduler
- B. Kubernetes API Server
- C. Kubernetes Controller Manager
- D. kubelet
Answer: B
Explanation:
* Allkubectl requestsgo to theKubernetes API Server.
* The API server is thefront-end of the control planeand validates/authenticates requests before other components act.
* Exact extract (Kubernetes Docs - Components):
* "The API server is a component of the Kubernetes control plane that exposes the Kubernetes API. It is the front end for the Kubernetes control plane."
* Other options clarified:
* Controller Manager: reconciles state after API Server processes the request.
* Scheduler: assigns Pods to nodes after API Server accepts workload objects.
* kubelet: node agent, only communicates after API Server updates desired state.
References:
Kubernetes Docs - Components: https://kubernetes.io/docs/concepts/overview/components/
NEW QUESTION # 30
......
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