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About Linux Foundation Kubernetes and Cloud Native Associate : KCNA Exam

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Linux Foundation KCNA Exam Syllabus Topics:

Topic	Details
Topic 1	Cloud Native Architecture: This section highlights autoscaling, serverless technologies, and the roles and personas that drive cloud-native innovation. It explores open standards, community involvement, and governance frameworks, enabling the target audience to design systems aligned with modern practices.
Topic 2	Cloud Native Observability: In this topic, telemetry and observability tools like Prometheus are examined, focusing on monitoring, logging, and diagnostics. Cost management strategies are also discussed, offering insights into optimizing resource usage. This equips the target audience to ensure the reliability and cost-efficiency of cloud-native applications, enhancing system performance and business value.
Topic 3	Cloud Native Application Delivery: This section introduces the fundamentals of application delivery, emphasizing GitOps and CI CD pipelines. It outlines strategies for deploying and managing cloud-native applications effectively. By mastering these concepts, the target audience learns to streamline delivery processes and adopt modern workflows for continuous integration and deployment in Kubernetes environments.
Topic 4	Container Orchestration: This topic delves into the principles of container orchestration, including runtime, security, and networking within Kubernetes clusters. The discussion extends to service mesh and storage solutions, enabling the audience to design and manage scalable, secure containerized workloads. Understanding these concepts prepares the target audience to navigate Kubernetes orchestration and enhance operational efficiency in cloud-native workflows.
Topic 5	Kubernetes Fundamentals: In this topic, existing and aspiring developers, administrators, architects, and managers are introduced to foundational Kubernetes concepts, covering Kubernetes resources, architecture, and the Kubernetes API. The topic discusses the role of containers and their relationship to Kubernetes, emphasizing how scheduling works within the cluster.