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Linux Foundation KCNA Certification Exam is a rigorous, performance-based exam that tests the candidate's ability to perform real-world tasks in Kubernetes and cloud native environments. KCNA exam is conducted online, and candidates are required to complete a set of hands-on tasks within a specified time frame. KCNA Exam is designed to assess the candidate's ability to deploy, manage, and troubleshoot Kubernetes clusters and cloud native applications.
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Linux Foundation KCNA Exam covers a broad range of topics related to Kubernetes and cloud-native technologies, including the fundamentals of containerization, Kubernetes architecture and components, deployment and scaling of Kubernetes applications, troubleshooting Kubernetes clusters, and managing Kubernetes resources using various tools and APIs. Kubernetes and Cloud Native Associate certification exam is designed to assess an individual's knowledge and expertise in these areas and provides a reliable measure of their competency in managing and deploying cloud-native applications.
The Kubernetes and Cloud Native Associate (KCNA) certification is an entry-level certification that is ideal for individuals who want to start their careers in the field of cloud-native technologies. Kubernetes and Cloud Native Associate certification offers a solid foundation in Kubernetes and cloud-native technologies, which are essential for building and managing modern applications in the cloud.
NEW QUESTION # 129
What command use to get documentation about kubernetes resource type
Answer: B
Explanation:
https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#explain
NEW QUESTION # 130
What are container runtimes with Kubernetes?
Answer: B,C
Explanation:
https://kubernetes.io/docs/setup/production-environment/container-runtimes/
NEW QUESTION # 131
What is the primary interface for Kubernetes cluster?
Answer: E
Explanation:
https://kubernetes.io/docs/concepts/overview/components/#kube-apiserver
NEW QUESTION # 132
You need to configure a HorizontalPodAutoscaler (HPA) to scale a deployment based on custom metrics. The metric data is being published by a Prometheus server. How can you integrate Prometheus with the HPA for custom metric scaling?
Answer: E
Explanation:
You need a custom controller to bridge the gap between the HPA and Prometheus. The controller will fetch metrics from Prometheus and provide them to the HPA. You can use the '-metrics' flag in the HPA YAML file to specify the custom metrics and their sources (including the Prometheus endpoint).
NEW QUESTION # 133
You are running a multi-tenant Kubernetes cluster. How can you isolate workloads from different tenants to prevent potential security breaches?
Answer: D
Explanation:
Network Policies are a powerful security feature in Kubernetes that allow you to define communication rules between pods. By carefully configuring Network Policies, you can isolate workloads from different tenants, preventing unauthorized access and data leakage between them.
NEW QUESTION # 134
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