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KCNA 인증 시험은 Kubernetes 및 Cloud-Native Technologies와 함께 일하는 전문가에게 귀중한 자격 증명입니다. 그것은 업계 리더들에 의해 인정되며 개인이 빠르게 성장하는 클라우드 네이티브 컴퓨팅 분야에서 경력을 발전시키는 데 도움이 될 수 있습니다. 이 시험을 통과하면 Kubernetes 및 Cloud-Native Technologies의 숙련도를 보여줄뿐만 아니라 지속적인 학습 및 전문성 개발에 대한 노력도 증명합니다.
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KCNA 시험은 Linux, 컨테이너 화 및 클라우드 컴퓨팅에 대한 기본적인 이해를 가진 개인을위한 것입니다. Kubernetes 아키텍처, 배포, 네트워킹, 스토리지 및 보안을 포함한 광범위한 주제를 다루는 공급 업체 중립 인증입니다. 이 시험에는 Docker, Helm 및 Prometheus와 같은 다른 클라우드 네이티브 기술도 포함됩니다.
질문 # 287
Can a Kubernetes Service expose multiple ports?
정답：B
설명：
Yes, a Kubernetes Service can expose multiple ports, and when it does, each port should have a unique, unambiguous name, making B correct. In the Service spec, the ports field is an array, allowing you to define multiple port mappings (e.g., 80 for HTTP and 443 for HTTPS, or grpc and metrics). Each entry can include port (Service port), targetPort (backend Pod port), and protocol.
The naming requirement becomes important because Kubernetes needs to disambiguate ports, especially when other resources refer to them. For example, an Ingress backend or some proxies/controllers can reference Service ports by name. Also, when multiple ports exist, a name helps humans and automation reliably select the correct port. Kubernetes documentation and common practice recommend naming ports whenever there is more than one, and in several scenarios it's effectively required to avoid ambiguity.
Option A is incorrect because multi-port Services are common and fully supported. Option C is insufficient:
while different port numbers are necessary, naming is the correct distinguishing rule emphasized by Kubernetes patterns and required by some integrations. Option D is incorrect and nonsensical-Services can expose many ports and are not restricted to 443.
Operationally, exposing multiple ports through one Service is useful when a single backend workload provides multiple interfaces (e.g., application traffic and a metrics endpoint). You can keep stable discovery under one DNS name while still differentiating ports. The backend Pods must still listen on the target ports, and selectors determine which Pods are endpoints. The key correctness point for this question is: multi-port Services are allowed, and each port should be uniquely named to avoid confusion and integration issues.
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질문 # 288
Which of the following is a lightweight tool that manages traffic flows between services, enforces access policies, and aggregates telemetry data, all without requiring changes to application code?
정답：C
설명：
Linkerd is a lightweight service mesh that manages service-to-service traffic, security policies, and telemetry without requiring application code changes-so B is correct. A service mesh introduces a dedicated layer for east-west traffic (internal service calls) and typically provides features like mutual TLS (mTLS), retries/timeouts, traffic shaping, and consistent metrics/tracing signals. Linkerd is known for being simpler and resource-efficient relative to some alternatives, which aligns with the "lightweight tool" phrasing.
Why this matches the description: In a service mesh, workload traffic is intercepted by a proxy layer (often as a sidecar or node-level/ambient proxy) and managed centrally by mesh control components. This allows security and traffic policy to be applied uniformly without modifying each microservice. Telemetry is also generated consistently because the proxies observe traffic directly and emit metrics and traces about request rates, latency, and errors.
The other choices don't fit. NetworkPolicy is a Kubernetes resource that controls allowed network flows (L3/L4) but does not provide L7 traffic management, retries, identity-based mTLS, or automatic telemetry aggregation. kube-proxy implements Service networking rules (ClusterIP/NodePort forwarding) but does not enforce access policies at the service identity level and is not a telemetry system. Nginx can be used as an ingress controller or reverse proxy, but it is not inherently a full service mesh spanning all service-to-service communication and policy/telemetry across the mesh by default.
In cloud native architecture, service meshes help address cross-cutting concerns-security, observability, and traffic management-without embedding that logic into every application. The question's combination of "traffic flows," "access policies," and "aggregates telemetry" maps directly to a mesh, and the lightweight mesh option provided is Linkerd.
질문 # 289
Which of the following characteristics is associated with container orchestration?
정답：C
설명：
A core capability of container orchestration is dynamic scheduling, so B is correct. Orchestration platforms (like Kubernetes) are responsible for deciding where containers (packaged as Pods in Kubernetes) should run, based on real-time cluster conditions and declared requirements. "Dynamic" means the system makes placement decisions continuously as workloads are created, updated, or fail, and as cluster capacity changes.
In Kubernetes, the scheduler evaluates Pods that have no assigned node, filters nodes that don't meet requirements (resources, taints/tolerations, affinity/anti-affinity, topology constraints), and then scores remaining nodes to pick the best target. This scheduling happens at runtime and adapts to the current state of the cluster. If nodes go down or Pods crash, controllers create replacements and the scheduler places them again-another aspect of dynamic orchestration.
The other options don't define container orchestration: "application message distribution" is more about messaging systems or service communication patterns, not orchestration. "Deploying application JAR files" is a packaging/deployment detail relevant to Java apps but not a defining orchestration capability. "Virtual machine distribution" refers to VM management rather than container orchestration; Kubernetes focuses on containers and Pods (even if those containers sometimes run in lightweight VMs via sandbox runtimes).
So, the defining trait here is that an orchestrator automatically and continuously schedules and reschedules workloads, rather than relying on static placement decisions.
질문 # 290
Imagine you're releasing open-source software for the first time. Which of the following is a valid semantic version?
정답：D
설명：
Semantic Versioning (SemVer) follows the pattern MAJOR.MINOR.PATCH with optional pre-release identifiers (e.g., -rc, -alpha.1) and build metadata. Among the options, 0.1.0-rc matches SemVer rules, so C is correct.
0.1.0-rc breaks down as: MAJOR=0, MINOR=1, PATCH=0, and -rc indicates a pre-release ("release candidate"). Pre-release versions are valid SemVer and are explicitly allowed to denote versions that are not yet considered stable. For a first-time open-source release, 0.x.y is common because it signals the API may still change in backward-incompatible ways before reaching 1.0.0.
Why the other options are not correct SemVer as written:
* 1.0 is missing the PATCH segment; SemVer requires three numeric components (e.g., 1.0.0).
* 2021-10-11 is a date string, not MAJOR.MINOR.PATCH.
* v1beta1 resembles Kubernetes API versioning conventions, not SemVer.
In cloud-native delivery and Kubernetes ecosystems, SemVer matters because it communicates compatibility.
Incrementing MAJOR indicates breaking changes, MINOR indicates backward-compatible feature additions, and PATCH indicates backward-compatible bug fixes. Pre-release tags allow releasing candidates for testing without claiming full stability. This is especially useful for open-source consumers and automation systems that need consistent version comparison and upgrade planning.
So, the only valid semantic version in the choices is 0.1.0-rc, option C.
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질문 # 291
Which kubernetes resource type allows defining which pods are isolated when it comes to network-ing?
정답：D
설명：
https://kubernetes.io/docs/concepts/services-networking/network-policies/#the-two-sorts-of-pod-isolation
질문 # 292
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