精心準備的KCNA題庫分享＆完全覆蓋的Linux Foundation認證培訓 -專業的Linux Foundation Kubernetes and Cloud Native Associate

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Linux Foundation KCNA（Kubernetes and Cloud Native Associate）認證考試是一項全面的考試，旨在測試雲本地計算領域個人的知識和技能。該考試涵蓋了一系列主題，包括Kubernetes，容器化，微服務和雲本地體系結構。該認證對於想要展示其設計，部署和管理雲本地應用方面的專業知識的個人是理想的選擇。

>> KCNA題庫分享 <<

KCNA考證，KCNA下載

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Linux Foundation KCNA（Kubernetes和雲原生聯合認證）考試是一個行業認可的證書，驗證了關於雲原生應用開發和管理的基本概念和技能的理解。這個證書是為軟件工程師、開發人員、系統管理員和IT專業人員設計的，他們想增強他們在雲原生技術方面的知識和專業技能。

最新的 Kubernetes Cloud Native Associate KCNA 免費考試真題 (Q26-Q31):

問題 #26
What kind of limitation cgroups allows?

答案：A,B,C,E


問題 #27
Let's assume that an organization needs to process large amounts of data in bursts, on a cloud-based Kubernetes cluster. For instance: each Monday morning, they need to run a batch of 1000 compute jobs of 1 hour each, and these jobs must be completed by Monday night. What's going to be the most cost-effective method?

答案：A

解題說明：
Burst workloads are a classic elasticity problem: you need large capacity for a short window, then very little capacity the rest of the week. The most cost-effective approach in a cloud-based Kubernetes environment is to scale infrastructure dynamically, matching node count to current demand. That's exactly what Cluster Autoscaler is designed for: it adds nodes when Pods cannot be scheduled due to insufficient resources and removes nodes when they become underutilized and can be drained safely. Therefore B is correct.
Option A can work operationally, but it commonly results in paying for a reserved "standing army" of nodes that sit idle most of the week-wasteful for bursty patterns unless the nodes are repurposed for other workloads. Taints/tolerations and nodeSelectors are placement tools; they don't reduce cost by themselves and may increase waste if they isolate nodes. Option D (PriorityClasses) affects which Pods get scheduled first given available capacity, but it does not create capacity. If the cluster doesn't have enough nodes, high priority Pods will still remain Pending. Option C (reserved instances or committed-use discounts) can reduce unit price, but it assumes relatively predictable baseline usage. For true bursts, you usually want a smaller baseline plus autoscaling, and optionally combine it with discounted capacity types if your cloud supports them.
In Kubernetes terms, the control loop is: batch Jobs create Pods # scheduler tries to place Pods # if many Pods are Pending due to insufficient CPU/memory, Cluster Autoscaler observes this and increases the node group size # new nodes join and kube-scheduler places Pods # after jobs finish and nodes become empty, Cluster Autoscaler drains and removes nodes. This matches cloud-native principles: elasticity, pay-for-what-you-use, and automation. It minimizes idle capacity while still meeting the completion deadline.
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問題 #28
Which of the following is used to request storage in Kubernetes?

答案：D

解題說明：
https://kubernetes.io/docs/concepts/storage/persistent-volumes/


問題 #29
What is the order of 4C's in Cloud Native Security, starting with the layer that a user has the most control over?

答案：D

解題說明：
The Cloud Native Security "4C's" model is commonly presented as Code, Container, Cluster, Cloud, ordered from the layer you control most directly to the one you control least-therefore D is correct. The idea is defense-in-depth across layers, recognizing that responsibilities are shared between developers, platform teams, and cloud providers.
Code is where users have the most direct control: application logic, dependencies, secure coding practices, secrets handling patterns, and testing. This includes validating inputs, avoiding vulnerabilities, and scanning dependencies. Next is the Container layer: building secure images, minimizing image size/attack surface, using non-root users, setting file permissions, and scanning images for known CVEs. Container security is about ensuring the artifact you run is trustworthy and hardened.
Then comes the Cluster layer: Kubernetes configuration and runtime controls, including RBAC, admission policies (OPA/Gatekeeper), Pod Security standards, network policies, runtime security, audit logging, and node hardening practices. Cluster controls determine what can run and how workloads interact. Finally, the Cloud layer includes the infrastructure and provider controls-IAM, VPC/networking, KMS, managed control plane protections, and physical security-which users influence through configuration but do not fully own.
The model's value is prioritization: start with what you control most (code), then harden the container artifact, then enforce cluster policy and runtime protections, and finally ensure cloud controls are configured properly.
This layered approach aligns well with Kubernetes security guidance and modern shared-responsibility models.


問題 #30
A Kubernetes node is on hardware that is scheduled for maintenance. How can the Pods scheduled on that node be identified so workloads can be redirected before the node is taken out of service?

答案：B

解題說明：
The kubectl get pods -o wide --all-namespaces command displays all Pods along with the nodes they are running on, allowing identification of Pods scheduled on the specific node before maintenance.


問題 #31
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KCNA考證: https://www.testpdf.net/KCNA.html

P.S. Testpdf在Google Drive上分享了免費的、最新的KCNA考試題庫：https://drive.google.com/open?id=1lCI_CZVFQ4pfknTzoPUES5Kf8DziElTC