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Realistic Linux Foundation KCNA: Real Kubernetes and Cloud Native Associate Testing Environment - Perfect PrepAwayExam KCNA Valid Exam Dumps

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q90-Q95):

NEW QUESTION # 90
What are default kubernetes namespaces?

A. kube-default, kube-public, kube-system, kube-node-lease
B. default, kube-public, kube-systems, kube-node-lease
C. default, kube-public, kube-system, kube-node-lease
D. default, kube-public, kube-system, kube-node-leases

Answer: C

Explanation:
https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/

NEW QUESTION # 91
Which group of container runtimes provides additional sandboxed isolation and elevated security?

A. docker, containerd
B. runsc, kata
C. crun, cri-o
D. rune, cgroups

Answer: B

Explanation:
The runtimes most associated with sandboxed isolation are gVisor's runsc and Kata Containers, making C correct. Standard container runtimes (like containerd with runc) rely primarily on Linux namespaces and cgroups for isolation. That isolation is strong for many use cases, but it shares the host kernel, which can be a concern for multi-tenant or high-risk workloads.
gVisor (runsc) provides a user-space kernel-like layer that intercepts and mediates system calls, reducing the container's direct interaction with the host kernel. Kata Containers takes a different approach: it runs containers inside lightweight virtual machines, providing hardware-virtualization boundaries (or VM-like isolation) while still integrating into container workflows. Both are used to increase isolation compared to traditional containers, and both can be integrated with Kubernetes through compatible CRI/runtime configurations.
The other options are incorrect for the question's intent. "rune, cgroups" is not a meaningful pairing here (cgroups is a Linux resource mechanism, not a runtime). "docker, containerd" are commonly used container platforms/runtimes but are not specifically the "sandboxed isolation" category (containerd typically uses runc for standard isolation). "crun, cri-o" represents a low-level OCI runtime (crun) and a CRI implementation (CRI-O), again not specifically a sandboxed-isolation grouping.
So, when the question asks for the group that provides additional sandboxing and elevated security, the correct, well-established answer is runsc + Kata.

NEW QUESTION # 92
A new Pod is created. Then, the Pod is assigned to a Node. Which Kubernetes component was re-sponsible for determining which Node to assign the Pod to?

A. Scheduler
B. Controller manager
C. API Server
D. kubelet

Answer: A

Explanation:
https://kubernetes.io/docs/reference/command-line-tools-reference/kube-scheduler/

NEW QUESTION # 93
In a cloud native environment, how do containerization and virtualization differ in terms of resource management?

A. Containerization uses hypervisors to manage resources, while virtualization does not.
B. Containerization shares the host OS, while virtualization runs a full OS for each instance.
C. Containerization allocates resources per container, virtualization does not isolate them.
D. Containerization consumes more memory than virtualization by default.

Answer: B

Explanation:
The fundamental difference between containerization and virtualization in a cloud native environment lies in how they manage and isolate resources, particularly with respect to the operating system. The correct description is that containerization shares the host operating system, while virtualization runs a full operating system for each instance, making option B the correct answer.
In virtualization, each virtual machine (VM) includes its own complete guest operating system running on top of a hypervisor. The hypervisor virtualizes hardware resources-CPU, memory, storage, and networking-and allocates them to each VM. Because every VM runs a full OS, virtualization introduces significant overhead in terms of memory usage, disk space, and startup time. However, it provides strong isolation between workloads, which is useful for running different operating systems or untrusted workloads on the same physical hardware.
In contrast, containerization operates at the operating system level rather than the hardware level. Containers share the host OS kernel and isolate applications using kernel features such as namespaces and control groups (cgroups). This design makes containers much lighter weight than virtual machines. Containers start faster, consume fewer resources, and allow higher workload density on the same infrastructure. Resource limits and isolation are still enforced, but without duplicating the entire operating system for each application instance.
Option A is incorrect because hypervisors are a core component of virtualization, not containerization. Option C is incorrect because containers generally consume less memory than virtual machines due to the absence of a full guest OS. Option D is incorrect because virtualization does isolate resources very strongly, while containers rely on OS-level isolation rather than hardware-level isolation.
In cloud native architectures, containerization is preferred for microservices and scalable workloads because of its efficiency and portability. Virtualization is still valuable for stronger isolation and heterogeneous operating systems. Therefore, Option B accurately captures the key resource management distinction between the two models.

NEW QUESTION # 94
Which statement about Ingress is correct?

A. Ingress provides a simple way to track network endpoints within a cluster.
B. Ingress is a Service type like NodePort and ClusterIP.
C. Ingress exposes routes from outside the cluster to Services in the cluster.
D. Ingress is a construct that allows you to specify how a Pod is allowed to communicate.

Answer: C

Explanation:
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.
________________________________________

NEW QUESTION # 95
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