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Easy to Use Linux Foundation KCNA PDF Questions File

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Linux Foundation KCNA Certification Exam is an online, proctored exam that consists of 40 multiple-choice questions. KCNA exam is conducted on the EdX platform, which is a leading online learning platform. KCNA exam is designed to test the candidate's understanding of the fundamentals of Kubernetes, containerization, and cloud-native technologies. KCNA exam covers topics such as Kubernetes architecture, deployment, configuration, and troubleshooting.

Linux Foundation KCNA Certification is a valuable credential for IT professionals who want to demonstrate their expertise in cloud-native technologies. With a wide range of study resources available and a vendor-neutral approach, the exam is an attractive option for professionals who work with different cloud platforms and want to showcase their skills in a way that is recognized across the industry.

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The Linux Foundation KCNA exam is designed to test the candidate's knowledge and understanding of Kubernetes and cloud-native technologies. It covers a range of topics such as deploying, managing, and scaling applications in Kubernetes, understanding Kubernetes architecture and components, and configuring Kubernetes networking and security. KCNA Exam also tests the candidate's knowledge of containerization technologies such as Docker and container orchestration tools like Helm.

Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q176-Q181):

NEW QUESTION # 176
You have a Kubernetes cluster with a HorizontalPodAutoscaler (HPA) configured for your application. The HPA is set to scale the application based on CPU utilization. The application suddenly experiences a surge in traffic, causing high CPU usage. How does the HPA respond to this scenario?

A. The HPA scales up the application after a configurable delay to avoid over-provisioning.
B. The HPA immediately scales up the application by creating new Pods.
C. The HPA only scales down the application when CPU utilization drops below a certain threshold.
D. The HPA scales up the application only if CPU utilization exceeds a predefined threshold.
E. The HPA scales up the application by increasing the resource requests for existing Pods.

Answer: D

Explanation:
The HPA typically has a defined threshold (e.g., 80% CPU utilization) and a scaling policy (e.g., add one Pod if CPU exceeds the threshold). The HPA won't immediately scale up upon a traffic surge; it will wait for the CPU utilization to surpass the specified threshold before triggering the scaling action.

NEW QUESTION # 177
Explain the difference between a container image and a container runtime?

A. Both container images and container runtimes are the same thing, just different names.
B. A container image is a pre-built package of an application, while a container runtime is a virtual machine that runs the application.
C. A container runtime is a pre-built package of an application, while a container image is a virtual machine that runs the application.
D. A container image is a blueprint for creating a container, while a container runtime is the software that executes the container.
E. A container runtime is a blueprint for creating a container, while a container image is the software that executes the container.

Answer: D

Explanation:
A container image is a blueprint for creating a container, while a container runtime is the software that executes the container. A container image contains all the necessary components, libraries, and dependencies to run an application in a container. It's a snapshot of a specific point in time. Container runtimes, such as Docker, containerd, or CRI-O, are responsible for loading the image, creating a container, and managing its lifecycle. They provide the environment and resources for the container to run.

NEW QUESTION # 178
You have a Kubernetes cluster with a pod that uses a resource limit of 100m CPU. What happens if the pod requests more CPU resources than the limit?

A. The pod will continue to run using the requested amount of CPU.
B. The pod will be automatically scaled down to 100m CPU.
C. The pod will be killed and restarted.
D. The pod will be throttled and its performance will be impacted.
E. The pod will be scheduled on a different node with more available resources.

Answer: D

Explanation:
The pod will be throttled and its performance will be impacted. The CPIJ limit acts as a hard ceiling, preventing the pod from consuming more resources than specified. Even if the pod requests more CPU, it will be constrained to the limit, leading to performance degradation. The pod will not be killed, restarted, or automatically scaled down. It will continue to run, but its performance will be affected due to the resource constraint.

NEW QUESTION # 179
What is the primary interface for Kubernetes cluster?

A. Control Plane
B. Kubernetes Api
C. JSON
D. YAML
E. Kubelet

Answer: B

Explanation:
https://kubernetes.io/docs/concepts/overview/components/#kube-apiserver

NEW QUESTION # 180
Which of the following is an advantage a cloud-native microservices application has over monolithic applications?

A. Cloud-native microservice applications tend to be easier to troubleshoot.
B. Cloud-native microservices applications tend to be faster and more responsive than monolithic applications.
C. Cloud-native microservice applications tend to be easier to scale and perform updates on.

Answer: C

Explanation:
Cloud-native applications tend to be microservice base, they have individual services that can be independently scaled, updated and rolled back. This makes scaling and update operations simpler and less risky.

NEW QUESTION # 181
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