Kubernetes and Cloud Native Associate (KCNA) Practice Tests

About this course

Build the skills needed to design, deploy, and manage modern cloud-native platforms powered by Kubernetes and containerized architectures. This comprehensive learning experience takes you from foundational concepts to advanced techniques used by top engineering teams to run scalable, resilient, and automated applications in real production environments.You will explore how modern organizations move beyond traditional monolithic systems and adopt microservices, containers, and orchestration platforms to achieve agility, reliability, and performance at scale. Through practical explanations and real-world scenarios, you’ll understand how Kubernetes manages containerized workloads, automates deployments, balances traffic, and ensures applications stay available even during heavy demand.The journey begins with the fundamentals of cloud-native architecture and container orchestration. From there, you will progress into designing Kubernetes clusters, understanding internal architecture, managing pods and microservices patterns, and implementing scalable deployments for high-traffic applications.You’ll also dive into powerful automation practices including CI/CD pipelines, Infrastructure as Code, and GitOps workflows that streamline development and operations. Learn how to scale applications horizontally and vertically, secure workloads using DevSecOps practices, and implement networking strategies for complex distributed systems.Beyond the core platform concepts, the course also covers monitoring, logging, and observability to ensure system reliability in large environments. You will discover how modern engineering teams automate infrastructure using tools like Helm, Terraform, and configuration management solutions to manage deployments efficiently.By the end of this experience, you will understand how to build, scale, secure, and operate enterprise-grade Kubernetes environments capable of supporting cloud-native applications across multi-cloud and hybrid infrastructures.

Course objectives

• to build skills in deploying and managing cloud-native applications
• to explore advanced techniques used by engineering teams
• to understand and implement automation practices effectively