그리고 Itexamdump KCNA 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1oKAubRK4E0Ks4JHc329fHCaehanZmZ9U
현재Linux Foundation KCNA인증시험을 위하여 노력하고 있습니까? 빠르게Linux Foundation인증 KCNA시험자격증을 취득하고 싶으시다면 우리 Itexamdump 의 덤프를 선택하시면 됩니다,. Itexamdump를 선택함으로Linux Foundation KCNA인증시험패스는 꿈이 아닌 현실로 다가올 것입니다,
| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Kubernetes and Cloud Native Associate |
| Exam Number: | KCNA |
| Available Languages: | Japanese, English |
| Certificate Validity Period: | 3 years |
| Passing Score: | 75% (approximately 45 out of 60) |
| Real Exam Qty: | 60 |
| Related Certifications: | CKS (Certified Kubernetes Security Specialist) CKA (Certified Kubernetes Administrator) CKAD (Certified Kubernetes Application Developer) |
| Exam Format: | Multiple Choice |
| Exam Price: | $250 USD |
| Exam Duration: | 90 minutes |
| Sample Questions: | Linux Foundation KCNA Sample Questions |
| Exam Way: | Online, proctored exam |
| Pre Condition: | None. No prerequisites required. |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/kubernetes-cloud-native-associate |
Itexamdump는 여러분이Linux Foundation 인증KCNA인증시험 패스와 추후사업에 모두 도움이 되겠습니다. Itexamdump제품을 선택함으로 여러분은 시간도 절약하고 돈도 절약하는 일석이조의 득을 얻을수 있습니다. 또한 구매후 일년무료 업데이트 버전을 받을수 있는 기회를 얻을수 있습니다. Linux Foundation 인증KCNA 인증시험패스는 아주 어렵습니다. 자기에 맞는 현명한 학습자료 선택은 성공의 지름길을 내딛는 첫발입니다. 퍼펙트한 자료만이 시험에서 성공할수 있습니다. Itexamdump시험문제와 답이야 말로 퍼펙트한 자료이죠. Itexamdump Linux Foundation 인증KCNA인증시험자료는 100% 패스보장을 드립니다.
Linux Foundation KCNA 시험은 후보자가 Kubernetes 및 Cloud-Native Technologies에서 실용적인 기술을 시연하도록 요구하는 실습 시험입니다. 도전적인 시험이지만, 그것을 통과하는 사람들에게는 또한 매우 보람이 있습니다. KCNA 인증을 받음으로써 응시자는 고용주 에게이 빠르게 성장하는 분야에서 성공하는 데 필요한 기술과 지식이 있음을 보여줄 수 있습니다.
질문 # 296
What kubectl command is used to retrieve the resource consumption (CPU and memory) for nodes or Pods?
정답：A
질문 # 297
Which of the following cloud native proxies is used for ingress/egress in a service mesh and can also serve as an application gateway?
정답：D
설명：
Envoy Proxy is a high-performance, cloud-native proxy widely used for ingress and egress traffic management in service mesh architectures, and it can also function as an application gateway. It is the foundational data-plane component for popular service meshes such as Istio, Consul, and AWS App Mesh, making option C the correct answer.
In a service mesh, Envoy is typically deployed as a sidecar proxy alongside each application Pod. This allows Envoy to transparently intercept and manage all inbound and outbound traffic for the service. Through this model, Envoy enables advanced traffic management features such as load balancing, retries, timeouts, circuit breaking, mutual TLS, and fine-grained observability without requiring application code changes.
Envoy is also commonly used at the mesh boundary to handle ingress and egress traffic. When deployed as an ingress gateway, Envoy acts as the entry point for external traffic into the mesh, performing TLS termination, routing, authentication, and policy enforcement. As an egress gateway, it controls outbound traffic from the mesh to external services, enabling security controls and traffic visibility. These capabilities allow Envoy to serve effectively as an application gateway, not just an internal proxy.
Option A, "Frontend proxy," is a generic term and not a specific cloud-native component. Option B, kube- proxy, is responsible for implementing Kubernetes Service networking rules at the node level and does not provide service mesh features or gateway functionality. Option D, "Reverse proxy," is a general architectural pattern rather than a specific cloud-native proxy implementation.
Envoy's extensibility, performance, and deep integration with Kubernetes and service mesh control planes make it the industry-standard proxy for modern cloud-native networking. Its ability to function both as a sidecar proxy and as a centralized ingress or egress gateway clearly establishes Envoy proxy as the correct and verified answer.
질문 # 298
You are deploying a microservices application in Kubernetes. Each microservice has its own deployment and service. How can you enforce network policy rules to restrict communication between these microservices, allowing only authorized communication?
정답：B
설명：
The most effective way to enforce network policy rules for microservices in Kubernetes is to use network policies. Network policies allow you to define specific rules for communication between pods or groups of pods. By creating network policies, you can specify which pods are allowed to communicate with each other, based on their labels, namespaces, or other criteria. This allows you to restrict communication between microservices, ensuring that only authorized communication is allowed. While namespaces can help to isolate microservices logically, they do not provide granular network control. Configuring ports and services can restrict access to specific services, but it does not provide the level of control needed to enforce communication rules between microservices.
질문 # 299
What components are common in a service mesh?
정답：A
설명：
A service mesh is an architectural pattern that manages service-to-service communication in a microservices environment by inserting a dedicated networking layer. The two most common building blocks you'll see across service mesh implementations are (1) a data plane of proxies and (2) a control plane that configures and manages those proxies-this aligns best with "service proxy and control plane," option D.
In practice, the data plane is usually implemented via sidecar proxies (or sometimes node/ambient proxies) that sit "next to" workloads and handle traffic functions such as mTLS encryption, retries, timeouts, load balancing policies, traffic splitting, and telemetry generation. These proxies can capture inbound and outbound traffic without requiring changes to application code, which is one of the defining benefits of a mesh.
The control plane provides the management layer: it distributes policy and configuration to the proxies (routing rules, security policies, identities/certificates), discovers services/endpoints, and often coordinates certificate rotation and workload identity. In Kubernetes environments, meshes typically integrate with the Kubernetes API for service discovery and configuration.
Option C is close in spirit but uses non-standard wording ("runtime plane" is not a typical service mesh term; "control plane" is). Options A and B describe capabilities that may exist in a mesh ecosystem (telemetry, circuit breaking), but they are not the universal "core components" across meshes. Tracing/log storage, for example, is usually handled by external observability backends (e.g., Jaeger, Tempo, Loki) rather than being intrinsic "mesh components." So, the most correct and broadly accepted answer is D: service proxy and control plane.
질문 # 300
What is the Kubernetes object used for running a recurring workload?
정답：B
설명：
A recurring workload in Kubernetes is implemented with a CronJob, so the correct choice is D. A CronJob is a controller that creates Jobs on a schedule defined in standard cron format (minute, hour, day of month, month, day of week). This makes CronJobs ideal for periodic tasks like backups, report generation, log rotation, and cleanup tasks.
A Job (option A) is run-to-completion but is typically a one-time execution; it ensures that a specified number of Pods successfully terminate. You can use a Job repeatedly, but something else must create it each time-CronJob is that built-in scheduler. Option B ("Batch") is not a standard workload resource type (batch is an API group, not the object name used here). Option C (DaemonSet) ensures one Pod runs on every node (or selected nodes), which is not "recurring," it's "always present per node." CronJobs include operational controls that matter in real clusters. For example, concurrencyPolicy controls what happens if a scheduled run overlaps with a previous run (Allow, Forbid, Replace).
startingDeadlineSeconds can handle missed schedules (e.g., if the controller was down). History limits (successfulJobsHistoryLimit, failedJobsHistoryLimit) help manage cleanup and troubleshooting. Each scheduled execution results in a Job with its own Pods, which can be inspected with kubectl get jobs and kubectl logs.
So the correct Kubernetes object for a recurring workload is CronJob (D): it provides native scheduling and creates Jobs automatically according to the defined cadence.
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질문 # 301
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KCNA덤프문제집: https://www.itexamdump.com/KCNA.html
그리고 Itexamdump KCNA 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1oKAubRK4E0Ks4JHc329fHCaehanZmZ9U