獲得KCNA認證考試解析表示通過Kubernetes and Cloud Native Associate指日可待

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Linux基金會KCNA（Kubernetes和雲原生聯盟）認證考試是全球公認的認證項目，專為希望展示容器編排和雲原生技術技能和知識的IT專業人員設計。該考試對個人對Kubernetes和其他雲原生技術（包括容器化、微服務和網路）的理解進行全面評估。
KCNA考試非常適合希望在雲原生計算方面提升職業生涯的IT專業人員。該考試涵蓋了廣泛的主題，包括容器化、Kubernetes架構、部署和維護。它還涵蓋了其他重要主題，如網絡、存儲、安全和故障排除。

>> KCNA認證考試解析 <<

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Linux基金會KCNA認證考試涵蓋了與Kubernetes和雲原生運算相關的廣泛主題。考試包括容器化、管絃、網絡、安全和存儲等主題。它旨在測試在Kubernetes集群上部署、管理和擴展容器應用程序所需的知識和技能。
最新的 Kubernetes Cloud Native Associate KCNA 免費考試真題 (Q151-Q156):問題 #151
You are developing a microservices application with multiple pods communicating over a shared network. You need to implement a mechanism that ensures only authorized pods can access specific services within the network. What Kubernetes feature can help achieve this?

• A. LimitRange
• B. NetworkPolicy
• C. ResourceQuota
• D. ServiceAccount
• E. PodSecurityPolicy
  

答案：B
解題說明：
NetworkPolicy is designed for network traffic control within a Kubernetes cluster It allows you to define rules that control inbound and outbound traffic for pods based on their labels, namespaces, and other criteria. This enables you to enforce access restrictions between pods and services within your application's network. PodSecurityPolicy primarily restricts security settings for pods. ServiceAccount provides identity and credentials, and ResourceQuota and LimitRange manage resource usage.

問題 #152
kubeadm is an administrative dashboard for kubernetes

• A. False
• B. True
  

答案：A
解題說明：
https://kubernetes.io/docs/reference/setup-tools/kubeadm/


問題 #153
What is a sidecar container?

• A. A Pod that runs next to another container within the same Pod.
• B. A Pod that runs next to another Pod within the same namespace.
• C. A container that runs next to another container within the same Pod.
• D. A container that runs next to another Pod within the same namespace.
  

答案：C
解題說明：
A sidecar container is an additional container that runs alongside the main application container within the same Pod, sharing network and storage context. That matches option C, so C is correct. The sidecar pattern is used to add supporting capabilities to an application without modifying the application code. Because both containers are in the same Pod, the sidecar can communicate with the main container over localhost and share volumes for files, sockets, or logs.
Common sidecar examples include: log forwarders that tail application logs and ship them to a logging system, proxies (service mesh sidecars like Envoy) that handle mTLS and routing policy, config reloaders that watch ConfigMaps and signal the main process, and local caching agents. Sidecars are especially powerful in cloud-native systems because they standardize cross-cutting concerns-security, observability, traffic policy-across many workloads.
Options A and D incorrectly describe "a Pod running next to ..." which is not how sidecars work; sidecars are containers, not separate Pods. Running separate Pods "next to" each other in a namespace does not give the same shared network namespace and tightly coupled lifecycle. Option B is also incorrect for the same reason: a sidecar is not a separate Pod; it is a container in the same Pod.
Operationally, sidecars share the Pod lifecycle: they are scheduled together, scaled together, and generally terminated together. This is both a benefit (co-location guarantees) and a responsibility (resource requests/limits should include the sidecar's needs, and failure modes should be understood). Kubernetes is increasingly formalizing sidecar behavior (e.g., sidecar containers with ordered startup semantics), but the core definition remains: a helper container in the same Pod.

問題 #154
You have a Kubernetes cluster with three worker nodes. Nodel has 8 CPU cores, Node2 has 4 CPU cores, and Node3 has 2 CPU cores. You deploy a pod with a resource request of 2 CPU cores. What is the likely order in which Kubernetes will attempt to schedule this pod on the available nodes?

• A. The order is unpredictable and depends on the specific Kubernetes version and scheduling algorithms used.
• B. Nodel -> Node2 -> Node3
• C. Node2 Nodel -> Node3
• D. Node2 Node3 Nodel
• E. Node3 -> Nodel -> Node2
  

答案：B
解題說明：
Kubernetes typically attempts to schedule pods on nodes that have the most available resources to meet the pod's requests. In this scenario, Nodel has the highest CPU capacity, followed by Node2, and then Node3. The scheduler prioritizes nodes with more available resources to ensure optimal utilization and minimize potential resource contention among pods.

問題 #155
You need to create a Kubernetes service that exposes a TCP-based application on port 8080. You want the service to be accessible from external clients. Which type of service should you create?

• A. ExternalName
• B. Headless
• C. ClusteriP
• D. NodePort
• E. LoadBalancer
  

答案：E
解題說明：
The *LoadBalancer• service type is the most suitable for exposing your TCP-based application on port 8080 to external clients. It will automatically create a load balancer in the cloud provider's infrastructure, allowing external access to your application. Option 'A' (ClusterlP) only allows access from within the cluster. Option 'C' (NodePort) exposes the service on a specific port on each node, making it accessible via the node's IP address. Option 'D' (ExternalName) is for exposing services that are already externally accessible using a DNS name. Option 'E' (Headless) is for services where you want to access Pods directly by their names, which is not the case here.

問題 #156
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