P.S. Kostenlose 2026 Linux Foundation KCNA Prüfungsfragen sind auf Google Drive freigegeben von DeutschPrüfung verfügbar: https://drive.google.com/open?id=1uujpaVsB9YnaWtl-_7SujByPzjJrcbml
Sie können kostenlos die Demo auf der Website DeutschPrüfung.de herunterladen, um unsere Zuverlässigkeit zu bestätigen. Ich glaube, Sie werden sicher nicht enttäuscht sein. Die neuesten Fragen und Antworten zur Linux Foundation KCNA Zertifizierungsprüfung von DeutschPrüfung sind den realen Prüfungsthemen sehr ähnlich. Vielleicht haben Sie auch die einschlägige Linux Foundation KCNA Zertifizierungsprüfung Schulungsunterlagen in anderen Büchern oder auf anderen Websites gesehen, würden Sie nach dem Vergleich finden, dass Sie doch aus DeutschPrüfung stammen. Die Testantworten zur Linux Foundation KCNA Zertifizierungsprüfung von DeutschPrüfung sind umfassender, die orginalen Prüfungsthemen, die von den Erfahrungsreichen Expertenteams nach ihren Erfahrungen und Kenntnissen bearbeitet, enthalten.
| Certification Vendor: | Linux Foundation / CNCF |
|---|---|
| Exam Name: | Kubernetes and Cloud Native Associate (KCNA) Exam |
| Exam Number: | KCNA |
| Real Exam Qty: | 60 |
| Passing Score: | 75% |
| Exam Duration: | 90 minutes |
| Related Certifications: | CKA (Certified Kubernetes Administrator) CKAD (Certified Kubernetes Application Developer) CKS (Certified Kubernetes Security Specialist) KCSA (Kubernetes and Cloud Native Security Associate) |
| Exam Format: | Online proctored, Multiple choice |
| Available Languages: | Japanese, English |
| Certificate Validity Period: | 2 years |
| Exam Price: | $250 USD |
| Recommended Training: | LFS250: Kubernetes and Cloud Native Essentials |
| Exam Registration: | Official Registration |
| Sample Questions: | Linux Foundation KCNA Sample Questions |
| Exam Way: | Online, remotely proctored; available worldwide |
| Pre Condition: | No mandatory prerequisites; basic IT knowledge and familiarity with command-line tools recommended |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/kubernetes-cloud-native-associate/ |
DeutschPrüfung hat sich stetig entwickelt . Unsere Antriebe werden von unseren Kunden, die mit Hilfe unserer Produtkte die IT-Zertifizierung erwerbt haben, gegeben. Heute wird die Linux Foundation KCNA Prüfungssoftware von zahlosen Kunden geprüft und anerkannt. Die Software hilft ihnen, die Zertifizierung der Linux Foundation KCNA zu erwerben. Auf unserer offiziellen Webseite können Sie die Demo kostenfrei downloaden und probieren. Wir erwarten Ihre Anerkennung. Innerhalb einem Jahr nach Ihrem Kauf werden wir Ihnen Informationen über den Aktualisierungsstand der Linux Foundation KCNA rechtzeitig geben. Ihre Vorbereitungsprozess der Prüfung wird deshalb bestimmt leichter!
Sobald eine Person die Linux Foundation KCNA -Prüfung erfolgreich abgeschlossen hat, wird sie als zertifizierter Kubernetes und Cloud Native Associate angesehen, was für ihre Karriere erhebliche Vorteile bieten kann. Diese Zertifizierung wird weltweit anerkannt und kann Einzelpersonen helfen, ihr Fachwissen und ihre Glaubwürdigkeit im Bereich der Cloud-nativen Technologien zu demonstrieren. Darüber hinaus sind Personen, die diese Zertifizierung besitzen, gut positioniert, um andere Kubernetes und Cloud-native Zertifizierungen der Linux Foundation zu verfolgen, die ihre Fähigkeiten und ihr Fachwissen in dieser sich schnell entwickelnden Technologielandschaft weiter verbessern können.
Die KCNA-Prüfung eignet sich ideal für IT-Fachleute, die ihre Karriere in der Cloud-Native-Computing vorantreiben möchten. Die Prüfung deckt eine Vielzahl von Themen ab, einschließlich Containerisierung, Kubernetes-Architektur, Bereitstellung und Wartung. Es deckt auch andere wichtige Themen wie Netzwerke, Speicher, Sicherheit und Fehlerbehebung ab.
293. Frage
Which command lists the running containers in the current Kubernetes namespace?
Antwort: D
Begründung:
The correct answer is A: kubectl get pods. Kubernetes does not manage "containers" as standalone top-level objects; the primary schedulable unit is the Pod, and containers run inside Pods. Therefore, the practical way to list what's running in a namespace is to list the Pods in that namespace. kubectl get pods shows Pods and their readiness, status, restarts, and age-giving you the canonical view of running workloads.
If you need the container-level details (images, container names), you typically use additional commands and output formatting:
* kubectl describe pod <pod> to view container specs, images, states, and events
* kubectl get pods -o jsonpath=... or -o wide to surface more fields
* kubectl get pods -o=json to inspect .spec.containers and .status.containerStatuses But among the provided options, kubectl get pods is the only real kubectl command that lists the running workload objects in the current namespace.
The other options are not valid kubectl subcommands: kubectl ls, kubectl ps, and kubectl show pods are not standard Kubernetes CLI operations. Kubernetes intentionally centers around the API resource model, so listing resources uses kubectl get <resource>. This also aligns with Kubernetes' declarative nature: you observe and manage the state via API objects, not by directly enumerating OS-level processes.
So while the question says "running containers," the Kubernetes-correct interpretation is "containers in running Pods," and the appropriate listing command in the namespace is kubectl get pods, option A.
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294. Frage
If a Pod was waiting for container images to download on the scheduled node, what state would it be in?
Antwort: C
Begründung:
If a Pod is waiting for its container images to be pulled to the node, it remains in the Pending phase, so D is correct. Kubernetes Pod "phase" is a high-level summary of where the Pod is in its lifecycle. Pending means the Pod has been accepted by the cluster but one or more of its containers has not started yet. That can occur because the Pod is waiting to be scheduled, waiting on volume attachment/mount, or-very commonly- waiting for the container runtime to pull the image.
When image pulling is the blocker, kubectl describe pod <name> usually shows events like "Pulling image
..." and "Successfully pulled image ..." or failures like ImagePullBackOff/ErrImagePull. Even if the node has been assigned (scheduler has set spec.nodeName), the Pod can still be Pending while kubelet and the runtime perform preparation steps.
Why the other phases don't apply:
* Succeeded is for run-to-completion Pods that have finished successfully (typical for Jobs).
* Failed means the Pod terminated and at least one container terminated in failure (and won't be restarted, depending on restartPolicy).
* Unknown is used when the node can't be contacted and the Pod's state can't be reliably determined (rare in healthy clusters).
A subtle but important Kubernetes detail: status "Waiting" reasons like ImagePullBackOff are container states inside .status.containerStatuses, while the Pod phase can still be Pending. So, "waiting for images to download" maps to Pod Pending, with container waiting reasons providing the deeper diagnosis.
Therefore, the verified correct answer is D: Pending.
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295. Frage
What is the API that exposes resource metrics from the metrics-server?
Antwort: C
Begründung:
he metrics-server exposes resource metrics through the metrics.k8s.io API for use by components like the Horizontal Pod Autoscaler.
296. Frage
Which of the following is a challenge derived from running cloud native applications?
Antwort: C
Begründung:
Cost optimization is complex to maintain across different public cloud environments because cloud native applications often span multiple clouds or hybrid setups, making it challenging to manage and optimize costs consistently.
297. Frage
Kubernetes ___ allows you to automatically manage the number of nodes in your cluster to meet demand.
Antwort: C
Begründung:
Kubernetes supports multiple autoscaling mechanisms, but they operate at different layers. The question asks specifically about automatically managing the number of nodes in the cluster, which is the role of the Cluster Autoscaler-therefore B is correct.
Cluster Autoscaler monitors the scheduling state of the cluster. When Pods are pending because there are not enough resources (CPU/memory) available on existing nodes-meaning the scheduler cannot place them- Cluster Autoscaler can request that the underlying infrastructure (typically a cloud provider node group / autoscaling group) add nodes. Conversely, when nodes are underutilized and Pods can be rescheduled elsewhere, Cluster Autoscaler can drain those nodes (respecting disruption constraints like PodDisruptionBudgets) and then remove them to reduce cost. This aligns with cloud-native elasticity: scale infrastructure up and down automatically based on workload needs.
The other options are different: Horizontal Pod Autoscaler (HPA) changes the number of Pod replicas for a workload (like a Deployment) based on metrics (CPU utilization, memory, or custom metrics). It scales the application layer, not the node layer. Vertical Pod Autoscaler (VPA) changes resource requests/limits (CPU
/memory) for Pods, effectively "scaling up/down" the size of individual Pods. It also does not directly change node count, though its adjustments can influence scheduling pressure. "Node Autoscaler" is not the canonical Kubernetes component name used in standard terminology; the widely referenced upstream component for node count is Cluster Autoscaler.
In real systems, these autoscalers often work together: HPA increases replicas when traffic rises; that may cause Pods to go Pending if nodes are full; Cluster Autoscaler then adds nodes; scheduling proceeds; later, traffic drops, HPA reduces replicas and Cluster Autoscaler removes nodes. This layered approach provides both performance and cost efficiency.
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298. Frage
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KCNA Zertifizierung: https://www.deutschpruefung.com/KCNA-deutsch-pruefungsfragen.html
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