新版Linux Foundation KCNA題庫 & KCNA證照資訊
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>> 新版Linux Foundation KCNA題庫 <<
新版KCNA題庫和認證考試產品中的領先材料提供者&KCNA證照資訊
我們KaoGuTi的Linux Foundation的KCNA考試培訓資料是以PDF和軟體格式提供,它包含KaoGuTi的Linux Foundation的KCNA考試的試題及答案,你可能會遇到真實的KCNA考試,這些問題堪稱完美,和可行之的有效的方法,在任何Linux Foundation的KCNA考試中獲得成功,KaoGuTi Linux Foundation的KCNA 全面涵蓋所有教學大綱及複雜問題,KaoGuTi的Linux Foundation的KCNA 考試的問題及答案是真正的考試挑戰,你必須要擦亮你的技能和思維定勢。
最新的 Kubernetes Cloud Native Associate KCNA 免費考試真題 (Q211-Q216):
問題 #211
Kubernetes ___ protect you against voluntary interruptions (such as deleting Pods, draining nodes) to run applications in a highly available manner.
- A. Resource Limits and Requests
- B. Pod Disruption Budgets
- C. Pod Topology Spread Constraints
- D. Taints and Tolerations
答案:B
解題說明:
The correct answer is B: Pod Disruption Budgets (PDBs). A PDB is a policy object that limits how many Pods of an application can be voluntarily disrupted at the same time. "Voluntary disruptions" include actions such as draining a node for maintenance (kubectl drain), cluster upgrades, or an administrator deleting Pods. The core purpose is to preserve availability by ensuring that a minimum number (or percentage) of replicas remain running and ready while those planned disruptions occur.
A PDB is typically defined with either minAvailable (e.g., "at least 3 Pods must remain available") or maxUnavailable (e.g., "no more than 1 Pod can be unavailable"). Kubernetes uses this budget when performing eviction operations. If evicting a Pod would violate the PDB, the eviction is blocked (or delayed), which forces maintenance workflows to proceed more safely-either by draining more slowly, scaling up first, or scheduling maintenance in stages.
Why the other options are not correct: topology spread constraints (A) influence scheduling distribution across failure domains but don't directly protect against voluntary disruptions. Taints and tolerations (C) control where Pods can schedule, not how many can be disrupted. Resource requests/limits (D) control CPU/memory allocation and do not guard availability during drains or deletions.
PDBs also work best when paired with Deployments/StatefulSets that maintain replicas and with readiness probes that accurately represent whether a Pod can serve traffic. PDBs do not prevent involuntary disruptions (node crashes), but they materially reduce risk during planned operations-exactly what the question is targeting.
問題 #212
The IPv4/IPv6 dual stack in Kubernetes:
- A. Allows you to access the IPv4 address by using the IPv6 address.
- B. Allows you to create IPv4 and IPv6 dual stack Services.
- C. Translates an IPv4 request from a Service to an IPv6 Service.
- D. Requires NetworkPolicies to prevent Services from mixing requests.
答案:B
解題說明:
The correct answer is D: Kubernetes dual-stack support allows you to create Services (and Pods, depending on configuration) that use both IPv4 and IPv6 addressing. Dual-stack means the cluster is configured to allocate and route traffic for both IP families. For Services, this can mean assigning both an IPv4 ClusterIP and an IPv6 ClusterIP so clients can connect using either family, depending on their network stack and DNS resolution.
Option A is incorrect because dual-stack is not about protocol translation (that would be NAT64/other gateway mechanisms, not the core Kubernetes dual-stack feature). Option B is also a form of translation/aliasing that isn't what Kubernetes dual-stack implies; having both addresses available is different from "access IPv4 via IPv6." Option C is incorrect: dual-stack does not inherently require NetworkPolicies to "prevent mixing requests." NetworkPolicies are about traffic control, not IP family separation.
In Kubernetes, dual-stack requires support across components: the network plugin (CNI) must support IPv4/IPv6, the cluster must be configured with both Pod CIDRs and Service CIDRs, and DNS should return appropriate A and AAAA records for Service names. Once configured, you can specify preferences such as ipFamilyPolicy (e.g., PreferDualStack) and ipFamilies (IPv4, IPv6 order) for Services to influence allocation behavior.
Operationally, dual-stack is useful for environments transitioning to IPv6, supporting IPv6-only clients, or running in mixed networks. But it adds complexity: address planning, firewalling, and troubleshooting need to consider two IP families. Still, the definition in the question is straightforward: Kubernetes dual-stack enables dual-stack Services, which is option D.
問題 #213
You have a Kubernetes cluster with multiple worker nodes. Nodel has a label •role: web', Node2 has a label *role: database* , and Node3 has no labels. You deploy a pod with a 'nodeSelectoN set to 'role: web'. Which node(s) is/are eligible for the pod to be scheduled on?
- A. only Node2.
- B. Only Nodel.
- C. Any of the nodes.
- D. Nodel and Node2.
- E. Only Node3.
答案:B
解題說明:
The •nodeSelector• field explicitly specifies that the pod must be scheduled on a node with the label •role: web'. Only Nodel has this label, so it is the only eligible node. The absence of labels or the presence of different labels on other nodes does not satisfy the pod's scheduling requirements.
問題 #214
Which are the core features provided by a service mesh?
- A. Configuration management
- B. Authentication and authorization
- C. Security vulnerability scanning
- D. Distributing and replicating data
答案:B
解題說明:
A is the correct answer because a service mesh primarily focuses on securing and managing service-to- service communication, and a core part of that is authentication and authorization. In microservices architectures, internal ("east-west") traffic can become a complex web of calls. A service mesh introduces a dedicated communication layer-commonly implemented with sidecar proxies or node proxies plus a control plane-to apply consistent security and traffic policies across services.
Authentication in a mesh typically means service identity: each workload gets an identity (often via certificates), enabling mutual TLS (mTLS) so services can verify each other and encrypt traffic in transit.
Authorization then builds on identity to enforce "who can talk to whom" via policies (for example: service A can call service B only on certain paths or methods). These capabilities are central because they reduce the need for every development team to implement and maintain custom security libraries correctly.
Why the other answers are incorrect:
* B (data distribution/replication) is a storage/database concern, not a mesh function.
* C (vulnerability scanning) is typically part of CI/CD and supply-chain security tooling, not service-to- service runtime traffic management.
* D (configuration management) is broader (GitOps, IaC, Helm/Kustomize); a mesh does have configuration, but "configuration management" is not the defining core feature tested here.
Service meshes also commonly provide traffic management (timeouts, retries, circuit breaking, canary routing) and telemetry (metrics/traces), but among the listed options, authentication and authorization best matches "core features." It captures the mesh's role in standardizing secure communications in a distributed system.
So, the verified correct answer is A.
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問題 #215
You are running a containerized application that requires access to a persistent storage volume. Which of the following Kubernetes objects is primarily used to define the storage request and access modes?
- A. pod
- B. Service
- C. PersistentVolumeClaim
- D. ConfigMap
- E. Deployment
答案:C
解題說明:
A 'PersistentVolumeClaim• (PVC) is the mechanism used to request and manage persistent storage within Kubernetes. It defines the storage requirements (size, access mode, etc.) for a Pod. While the 'Pod' uses the PVC, the PVC itself describes the storage request, not the Pod.
問題 #216
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