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Title: KCNA Exam Preparation, KCNA Valuable Feedback [Print This Page]

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Title: KCNA Exam Preparation, KCNA Valuable Feedback
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q75-Q80):NEW QUESTION # 75
Notary and the update framework leading security projects in CNCF
Answer: A
Explanation:
https://github.com/cncf/landscape#trail-map


NEW QUESTION # 76
You have a Kubernetes cluster with a deployment of a stateless application. Explain how you would ensure high availability for the application even if a node fails. What are some essential configurations to implement for this purpose?
Answer: B,E
Explanation:
To achieve high availability for a stateless application in a Kubernetes cluster, you need to implement the following configurations: Configure the deployment with a high number of replicas: This ensures that multiple instances of the application are running concurrently, and if one node fails, the others can take over the load. The number of replicas should be sufficient to accommodate the expected traffic and handle potential node failures. Use a load balancer to distribute traffic: A load balancer acts as a central point for incoming traffic and distributes it across the different instances of the application. This provides a single point of access and load balancing capabilities. By using a load balancer, you ensure that traffic is directed to healthy instances, even if some nodes are unavailable. Configure a pod disruption budget (PDB): A PDB is a Kubernetes resource that prevents a large number of pods from being deleted simultaneousl . This is im ortant for ensurin that thea lication remains available even if a node is undergoing maintenance or fails. By configuring a PDB, you specify a minimum number of pods that must be running for the deployment, preventing sudden disruptions due to node failures or updates. These configurations work together to ensure high availability for the application, even in the face of node failures. Note that using persistent volumes is not strictly necessary for high availability in a stateless application. Stateless applications do not store data persistently, so data loss on a single node does not affect the application's availability.

NEW QUESTION # 77
What is the default eviction timeout when the Ready condition of a node is Unknown or False?
Answer: B
Explanation:
The verified correct answer is D (Five minutes). In Kubernetes, node health is continuously monitored. When a node stops reporting status (heartbeats from the kubelet) or is otherwise considered unreachable, the Node controller updates the Node's Ready condition to Unknown (or it can become False). From that point, Kubernetes has to balance two risks: acting too quickly might cause unnecessary disruption (e.g., transient network hiccups), but acting too slowly prolongs outage for workloads that were running on the failed node.
The "default eviction timeout" refers to the control plane behavior that determines how long Kubernetes waits before evicting Pods from a node that appears unhealthy/unreachable. After this timeout elapses, Kubernetes begins eviction of Pods so controllers (like Deployments) can recreate them on healthy nodes, restoring the desired replica count and availability.
This is tightly connected to high availability and self-healing: Kubernetes does not "move" Pods from a dead node; it replaces them. The eviction timeout gives the cluster time to confirm the node is truly unavailable, avoiding flapping in unstable networks. Once eviction begins, replacement Pods can be scheduled elsewhere (assuming capacity exists), which is the normal recovery path for stateless workloads.
It's also worth noting that graceful operational handling can be influenced by PodDisruptionBudgets (for voluntary disruptions) and by workload design (replicas across nodes/zones). But the question is testing the default timer value, which is five minutes in this context.
Therefore, among the choices provided, the correct answer is D.

NEW QUESTION # 78
What fields must exist in any Kubernetes object (e.g. YAML) file?
Answer: D
Explanation:
Any Kubernetes object manifest must include apiVersion, kind, and metadata, which makes A correct. This comes directly from how Kubernetes resources are represented and processed by the API server.
apiVersion tells Kubernetes which API group and version should be used to interpret the object (for example v1, apps/v1, batch/v1). This matters because schemas and available fields can change between versions.
kind specifies the type of object you are creating (for example Pod, Service, Deployment, ConfigMap). Kubernetes uses this to route the request to the correct API endpoint and schema.
metadata contains identifying and organizational information such as name, namespace (when namespaced), labels, and annotations. At minimum, most objects require a name; labels and annotations are optional but extremely common for selection and tooling.
A common point of confusion is spec. Many Kubernetes objects include spec because they define desired state (like a Deployment's replica count, Pod template, update strategy). However, the question asks what fields must exist in any Kubernetes object file. Not all objects require a spec in the same way (and some objects include other top-level sections like data for ConfigMaps/Secrets or rules for RBAC objects). The truly universal top-level requirements are the trio in option A.
Options B, C, and D include fields that are not universally required (namespace is not required for cluster-scoped objects, and data only applies to certain kinds like ConfigMaps/Secrets). Therefore, apiVersion + kind + metadata is the correct, general rule and matches Kubernetes object structure.

NEW QUESTION # 79
Which prometheus metric type represents a single number value that can increase and decrease over time?
Answer: D
Explanation:
https://prometheus.io/docs/concepts/metric_types/#gauge


NEW QUESTION # 80
......
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