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Die Linux Foundation KCNA (Kubernetes and Cloud Native Associate) -Prüfung ist ein Zertifizierungsprogramm, das von der Linux Foundation entwickelt wurde, mit der das Wissen und die Fähigkeiten einer Person bei der Verwaltung und Bereitstellung von Cloud-nativen Anwendungen und Infrastrukturen mithilfe von Kubernetes geprüft werden sollen. Diese Zertifizierung ist ein Einstiegsprogramm, das für IT-Profis bestimmt ist, die neu in Kubernetes und Cloud-nativen Technologien sind.

Die Zertifizierungsprüfung der Linux Foundation KCNA (Kubernetes und Cloud Native Associate) ist eine professionelle Zertifizierungsprüfung, die die Fähigkeiten und Kenntnisse von Einzelpersonen im Bereich Kubernetes und Cloud -native Technologien validiert. Die Prüfung ist für Personen konzipiert, die daran interessiert sind, die Grundlagen von Kubernetes und Cloud Native Technologies zu lernen und zu beherrschen, und die ihr Fachwissen in diesen Bereichen potenziellen Arbeitgebern demonstrieren möchten.

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Linux Foundation Kubernetes and Cloud Native Associate KCNA Prüfungsfragen mit Lösungen (Q167-Q172):

167. Frage
Which statement about Ingress is correct?

Antwort: A

Begründung:
Ingress is the Kubernetes API resource for defining external HTTP/HTTPS routing into the cluster, so D is correct. An Ingress object specifies rules such as hostnames (e.g., app.example.com), URL paths (e.g., /api), and TLS configuration, mapping those routes to Kubernetes Services. This provides Layer 7 routing capabilities beyond what a basic Service offers.
Ingress is not a Service type (so B is wrong). Service types (ClusterIP, NodePort, LoadBalancer, ExternalName) are part of the Service API and operate at Layer 4. Ingress is a separate API object that depends on an Ingress Controller to actually implement routing. The controller watches Ingress resources and configures a reverse proxy/load balancer (like NGINX, HAProxy, or a cloud load balancer integration) to enforce the desired routing. Without an Ingress Controller, creating an Ingress object alone will not route traffic.
Option A describes endpoint tracking (that's closer to Endpoints/EndpointSlice). Option C describes NetworkPolicy, which controls allowed network flows between Pods/namespaces. Ingress is about exposing and routing incoming application traffic from outside the cluster to internal Services.
So the verified correct statement is D: Ingress exposes routes from outside the cluster to Services in the cluster.


168. Frage
Which of these commands is used to retrieve the documentation and field definitions for a Kubernetes resource?

Antwort: B

Begründung:
kubectl explain is the command that shows documentation and field definitions for Kubernetes resource schemas, so A is correct. Kubernetes resources have a structured schema: top-level fields like apiVersion, kind, and metadata, and resource-specific structures like spec and status. kubectl explain lets you explore these structures directly from your cluster's API discovery information, including field types, descriptions, and nested fields.
For example, kubectl explain deployment describes the Deployment resource, and kubectl explain deployment.
spec dives into the spec structure. You can continue deeper, such as kubectl explain deployment.spec.template.
spec.containers to discover container fields. This is especially useful when writing or troubleshooting manifests, because it reduces guesswork and prevents invalid YAML fields that would be rejected by the API server. It also helps when APIs evolve: you can confirm which fields exist in your cluster's current version and what they mean.
The other commands do different things. kubectl api-resources lists resource types and their shortnames, whether they are namespaced, and supported verbs-useful discovery, but not detailed field definitions.
kubectl get --help shows CLI usage help for kubectl get, not the Kubernetes object schema. kubectl show is not a standard kubectl subcommand.
From a Kubernetes "declarative configuration" perspective, correct manifests are critical: controllers reconcile desired state from spec, and subtle field mistakes can change runtime behavior. kubectl explain is a built-in way to learn the schema and write manifests that align with the Kubernetes API's expectations. That's why it' s commonly recommended in Kubernetes documentation and troubleshooting workflows.
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169. Frage
Which of these events will cause the kube-scheduler to assign a Pod to a node?

Antwort: D

Begründung:
The kube-scheduler assigns a node to a Pod when the Pod is unscheduled-meaning it exists in the API server but has no spec.nodeName set. The event that triggers scheduling is therefore: a new Pod is created and has no assigned node, which is option D.
Kubernetes scheduling is declarative and event-driven. The scheduler continuously watches for Pods that are in a "Pending" unscheduled state. When it sees one, it runs a scheduling cycle: filtering nodes that cannot run the Pod (insufficient resources based on requests, taints/tolerations, node selectors/affinity rules, topology spread constraints), then scoring the remaining feasible nodes to pick the best candidate. Once selected, the scheduler "binds" the Pod to that node by updating the Pod's spec.nodeName. After that, kubelet on the chosen node takes over to pull images and start containers.
Option A (Pod crashes) does not directly cause scheduling. If a container crashes, kubelet may restart it on the same node according to restart policy. If the Pod itself is replaced (e.g., by a controller like a Deployment creating a new Pod), that new Pod will be scheduled because it's unscheduled-but the crash event itself isn't the scheduler's trigger. Option B (new node added) might create more capacity and affect future scheduling decisions, but it does not by itself trigger assigning a particular Pod; scheduling still happens because there are unscheduled Pods. Option C (CPU load high) is not a scheduling trigger; scheduling is based on declared requests and constraints, not instantaneous node CPU load (that's a common misconception).
So the correct, Kubernetes-architecture answer is D: kube-scheduler assigns nodes to Pods that are newly created (or otherwise pending) and have no assigned node.
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170. Frage
What Kubernetes control plane component exposes the programmatic interface used to create, manage and interact with the Kubernetes objects?

Antwort: D

Begründung:
The kube-apiserver is the front door of the Kubernetes control plane and exposes the programmatic interface used to create, read, update, delete, and watch Kubernetes objects-so C is correct. Every interaction with cluster state ultimately goes through the Kubernetes API. Tools like kubectl, client libraries, GitOps controllers, operators, and core control plane components (scheduler and controllers) all communicate with the API server to submit desired state and to observe current state.
The API server is responsible for handling authentication (who are you?), authorization (what are you allowed to do?), and admission control (should this request be allowed and possibly mutated/validated?). After a request passes these gates, the API server persists the object's desired state to etcd (the backing datastore) and returns a response. The API server also provides a watch mechanism so controllers can react to changes efficiently, enabling Kubernetes' reconciliation model.
It's important to distinguish this from the other options. etcd stores cluster data but does not expose the cluster's primary user-facing API; it's an internal datastore. kube-controller-manager runs control loops (controllers) that continuously reconcile resources (like Deployments, Nodes, Jobs) but it consumes the API rather than exposing it. kube-proxy is a node-level component implementing Service networking rules and is unrelated to the control-plane API endpoint.
Because Kubernetes is "API-driven," the kube-apiserver is central: if it is unavailable, you cannot create workloads, update configurations, or even reliably observe cluster state. This is why high availability architectures prioritize multiple API server instances behind a load balancer, and why securing the API server (RBAC, TLS, audit) is a primary operational concern.
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171. Frage
If kubectl is failing to retrieve information from the cluster, where can you find pod logs to troubleshoot?

Antwort: B

Begründung:
Pod logs on the node are typically stored under /var/log/pods/, which can be accessed to troubleshoot issues when kubectl cannot retrieve logs directly from the cluster.


172. Frage
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