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Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Exam is a certification program that tests an individual’s knowledge of Kubernetes and cloud-native technologies. KCNA exam is designed to validate the skills and expertise required for working with Kubernetes and cloud-native environments. Kubernetes and Cloud Native Associate certification program is developed by the Linux Foundation, a non-profit organization that focuses on the promotion and development of open-source software.

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q110-Q115):

NEW QUESTION # 110
A Kubernetes administrator wants to limit the total memory usage of all Pods in a specific namespace to 4Gi. What should they create to enforce this limit?

Answer: A

Explanation:
A ResourceQuota enforces aggregate resource limits at the namespace level, allowing the administrator to cap the total memory usage of all Pods in the namespace to a defined value such as 4Gi.


NEW QUESTION # 111
What is the purpose of the kubelet component within a Kubernetes cluster?

Answer: D


NEW QUESTION # 112
Which of these events will cause the kube-scheduler to assign a Pod to a node?

Answer: C

Explanation:
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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NEW QUESTION # 113
How should folks new to the cloud native ecosystem, go about learning the different aspects of the ecosystem?

Answer: C

Explanation:
https://github.com/cncf/landscape#trail-map


NEW QUESTION # 114
What is the role of a NetworkPolicy in Kubernetes?

Answer: C


NEW QUESTION # 115
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