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100% Pass Linux Foundation - KCNA - High Hit-Rate Test Kubernetes and Cloud Native Associate Collection Pdf

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Linux Foundation KCNA Certification Exam is recognized as a highly respected and industry-recognized certification. It is designed to test the knowledge and skills of individuals who are responsible for designing, deploying, and managing cloud-native applications. KCNA exam covers a wide range of topics, including Kubernetes, containerization, microservices, and cloud-native architecture. Kubernetes and Cloud Native Associate certification is ideal for individuals who want to advance their careers in the field of cloud-native computing.

Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Exam is a certification exam for individuals who are interested in proving their expertise in Kubernetes and cloud native technologies. KCNA exam is designed to validate the skills and knowledge of professionals who work in the field of cloud computing, containerization, and orchestration.

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KCNA Learning Material: Kubernetes and Cloud Native Associate & KCNA Practice Test

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q174-Q179):

NEW QUESTION # 174
Which two elements are shared between containers in the same pod?

A. Network resources and Dockerfiles.
B. Network resources and liveness probes.
C. Storage and network resources.
D. Storage and container image registry.

Answer: C

Explanation:
The correct answer is C: Storage and network resources. In Kubernetes, a Pod is the smallest schedulable unit and acts like a "logical host" for its containers. Containers inside the same Pod share a number of namespaces and resources, most notably:
Network: all containers in a Pod share the same network namespace, which means they share a single Pod IP address and the same port space. They can talk to each other via localhost and coordinate tightly without exposing separate network endpoints.
Storage: containers in a Pod can share data through Pod volumes. Volumes (like emptyDir, ConfigMap
/Secret volumes, or PVC-backed volumes) are defined at the Pod level and can be mounted into multiple containers within the Pod. This enables common patterns like a sidecar writing logs to a shared volume that the main container generates, or an init/sidecar container producing configuration or certificates for the main container.
Why other options are wrong: liveness probes (A) are defined per container (or per Pod template) but are not a "shared" resource between containers. A container image registry (B) is an external system and not a shared in-Pod element. Dockerfiles (D) are build-time artifacts, irrelevant at runtime, and not shared resources.
This question is a classic test of Pod fundamentals: multi-container Pods work precisely because they share networking and volumes. This is also why the sidecar pattern is feasible-sidecars can intercept traffic on localhost, export metrics, or ship logs while sharing the same lifecycle boundary and scheduling placement.
Therefore, the verified correct choice is C.
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NEW QUESTION # 175
What does CNCF stand for?

A. Cloud Neutral Community Foundation
B. Cloud Native Community Foundation
C. Cloud Neutral Computing Foundation
D. Cloud Native Computing Foundation

Answer: D

Explanation:
CNCF stands for the Cloud Native Computing Foundation, making B correct. CNCF is the foundation that hosts and sustains many cloud-native open source projects, including Kubernetes, and provides governance, neutral stewardship, and community infrastructure to help projects grow and remain vendor-neutral.
CNCF's scope includes not only Kubernetes but also a broad ecosystem of projects across observability, networking, service meshes, runtime security, CI/CD, and application delivery. The foundation defines processes for project incubation and graduation, promotes best practices, organizes community events, and supports interoperability and adoption through reference architectures and education.
In the Kubernetes context, CNCF's role matters because Kubernetes is a massive multi-vendor project. Neutral governance reduces the risk that any single company can unilaterally control direction. This fosters broad contribution and adoption across cloud providers and enterprises. CNCF also supports the broader "cloud native" definition, often associated with containerization, microservices, declarative APIs, automation, and resilience principles.
The incorrect options are close-sounding but not accurate expansions. "Cloud Native Community Foundation" and the "Cloud Neutral ..." variants are not the recognized meaning. The correct official name is Cloud Native Computing Foundation.
So, the verified answer is B, and understanding CNCF helps connect Kubernetes to its broader ecosystem of standardized, interoperable cloud-native tooling.

NEW QUESTION # 176
Manual reclamation policy of a PV resource is known as:

A. Recycle
B. claimRef
C. Retain
D. Delete

Answer: C

Explanation:
The correct answer is C: Retain. In Kubernetes persistent storage, a PersistentVolume (PV) has a persistentVolumeReclaimPolicy that determines what happens to the underlying storage asset after its PersistentVolumeClaim (PVC) is deleted. The reclaim policy options historically include Delete and Retain (and Recycle, which is deprecated/removed in many modern contexts). "Manual reclamation" refers to the administrator having to manually clean up and/or rebind the storage after the claim is released-this behavior corresponds to Retain.
With Retain, when the PVC is deleted, the PV moves to a "Released" state, but the actual storage resource (cloud disk, NFS path, etc.) is not deleted automatically. Kubernetes will not automatically make that PV available for a new claim until an administrator takes action-typically cleaning the data, removing the old claim reference, and/or creating a new PV/PVC binding flow. This is important for data safety: you don't want to automatically delete sensitive or valuable data just because a claim was removed.
By contrast, Delete means Kubernetes (via the storage provisioner/CSI driver) will delete the underlying storage asset when the claim is deleted-useful for dynamic provisioning and disposable environments. Recycle used to scrub the volume contents and make it available again, but it's not the recommended modern approach and has been phased out in favor of dynamic provisioning and explicit workflows.
So, the policy that implies manual intervention and manual cleanup/reuse is Retain, which is option C.

NEW QUESTION # 177
You need to restrict the resources available to pods deployed within a specific namespace. What Kubernetes resource should you use?

A. PodSecurityPolicy
B. LimitRange
C. NetworkPolicy
D. ResourceQuota
E. ServiceAccount

Answer: D

Explanation:
ResourceQuota is used to restrict the resources available to pods within a namespace. You can set limits on CPU, memory, storage, and other resources to prevent resource exhaustion. LimitRange is used to set minimum and maximum limits for resources that apply to all pods in a namespace, but not to restrict the total resources used. The other options are not relevant to resource restriction: PodSecurityPolicy restricts security settings, NetworkPolicy manages network traffic, and ServiceAccount provides identity and credentials for pods.

NEW QUESTION # 178
What helps an organization to deliver software more securely at a higher velocity?

A. Docker Images
B. Kubernetes
C. apt-get
D. CI/CD Pipeline

Answer: D

Explanation:
A CI/CD pipeline is a core practice/tooling approach that enables organizations to deliver software faster and more securely, so D is correct. CI (Continuous Integration) automates building and testing code changes frequently, reducing integration risk and catching defects early. CD (Continuous Delivery/Deployment) automates releasing validated builds into environments using consistent, repeatable steps-reducing manual errors and enabling rapid iteration.
Security improves because automation enables standardized checks on every change: static analysis, dependency scanning, container image scanning, policy validation, and signing/verification steps can be integrated into the pipeline. Instead of relying on ad-hoc human processes, security controls become repeatable gates. In Kubernetes environments, pipelines commonly build container images, run tests, publish artifacts to registries, and then deploy via manifests, Helm, or GitOps controllers-keeping deployments consistent and auditable.
Option A (Kubernetes) is a platform that helps run and manage workloads, but by itself it doesn't guarantee secure high-velocity delivery. It provides primitives (rollouts, declarative config, RBAC), yet the delivery workflow still needs automation. Option B (apt-get) is a package manager for Debian-based systems and is not a delivery pipeline. Option C (Docker Images) are artifacts; they improve portability and repeatability, but they don't provide the end-to-end automation of building, testing, promoting, and deploying across environments.
In cloud-native application delivery, the pipeline is the "engine" that turns code changes into safe production releases. Combined with Kubernetes' declarative deployment model (Deployments, rolling updates, health probes), a CI/CD pipeline supports frequent releases with controlled rollouts, fast rollback, and strong auditability. That is exactly what the question is targeting. Therefore, the verified answer is D.
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NEW QUESTION # 179
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