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You can take our Linux Foundation KCNA practice exams (desktop and web-based) multiple times to gauge how well you've prepared for the real Linux Foundation KCNA test. These KCNA practice exams are designed specifically to help you identify your mistakes and attempt the real KCNA examination successfully. You can continually enhance your Kubernetes and Cloud Native Associate (KCNA) test preparation by overcoming your mistakes. Customers can check their prior KCNA tests and give KCNA practice exams multiple times to improve themselves for the final Linux Foundation KCNA test.
The Linux Foundation KCNA Exam covers a wide range of topics including Kubernetes architecture, deployment, and troubleshooting, as well as cloud-native application design and development. Candidates will be required to demonstrate their knowledge of these topics through a series of multiple-choice questions and performance-based tasks.
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The KCNA Exam is a remote, online, proctored exam that can be taken from anywhere in the world. It consists of 40 multiple-choice questions and has a time limit of 90 minutes. In order to pass the exam, candidates must achieve a score of 66% or higher. Upon passing the exam, candidates will receive a digital badge that can be displayed on their LinkedIn profile, resume, or website, as well as a certificate of completion.
NEW QUESTION # 126
You have a Kubernetes cluster with multiple namespaces. You are running different applications in separate namespaces and want to ensure that HPAs in each namespace are not interfering with each other. Which of the following measures should you take?
Answer: C,D
Explanation:
You need to ensure that HPAs are not competing for resources across namespaces- Resource quotas (C) limit resource consumption within each namespace, preventing HPAs from consuming resources intended for other applications. A custom controller (D) can be used to manage HPAs across multiple namespaces, coordinating scaling decisions to avoid resource contention and optimize utilization across the cluster. While options A and B might seem relevant, they are not effective solutions for preventing interference between HPAs in different namespaces. Option E is incorrect; HPAs operate within their namespaces, but resource contention can occur if not managed properly.
NEW QUESTION # 127
What is the purpose of the 'nodeSelector" field in a Pod's YAML definition?
Answer: E
Explanation:
The •nodeSelectors field allows you to specify labels that the node must have in order for the pod to be scheduled on it. This provides a way to control where pods are placed based on node characteristics or roles.
NEW QUESTION # 128
In the Kubernetes platform, which component is responsible for running containers?
Answer: B
Explanation:
In Kubernetes, the actual act of running containers on a node is performed by the container runtime. The kubelet instructs the runtime via CRI, and the runtime pulls images, creates containers, and manages their lifecycle. Among the options provided, CRI-O is the only container runtime, so B is correct.
It's important to be precise: the component that "runs containers" is not the control plane and not etcd. etcd (option A) stores cluster state (API objects) as the backing datastore. It never runs containers. cloud-controller-manager (option C) integrates with cloud APIs for infrastructure like load balancers and nodes. kube-controller-manager (option D) runs controllers that reconcile Kubernetes objects (Deployments, Jobs, Nodes, etc.) but does not execute containers on worker nodes.
CRI-O is a CRI implementation that is optimized for Kubernetes and typically uses an OCI runtime (like runc) under the hood to start containers. Another widely used runtime is containerd. The runtime is installed on nodes and is a prerequisite for kubelet to start Pods. When a Pod is scheduled to a node, kubelet reads the PodSpec and asks the runtime to create a "pod sandbox" and then start the container processes. Runtime behavior also includes pulling images, setting up namespaces/cgroups, and exposing logs/stdout streams back to Kubernetes tooling.
So while "the container runtime" is the most general answer, the question's option list makes CRI-O the correct selection because it is a container runtime responsible for running containers in Kubernetes.
NEW QUESTION # 129
How to create deployment name app-dep, image=nginx, and replicas 5 using imperative command?
Answer: C
Explanation:
https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#-em-deployment-em-
NEW QUESTION # 130
Which of the following sentences is true about container runtimes in Kubernetes?
Answer: C
NEW QUESTION # 131
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