Kubernetes for Developers Practice Exam

Kubernetes for Developers Practice Exam

About Kubernetes for Developers Exam

Kubernetes is a powerful open-source platform designed to automate the deployment, scaling, and management of containerized applications. It has become a critical skill for application developers, DevOps engineers, and cloud professionals.

Exam Guide

This course provides a step-by-step guide to Kubernetes architecture, starting with Docker containers and images, followed by setting up and managing Kubernetes clusters, and concluding with real-world deployments on AWS Elastic Kubernetes Service (EKS). With practical exercises, you will gain hands-on experience in container orchestration, networking, storage management, and security best practices.

By the end of this course, you will have a solid foundation in Kubernetes and cloud-based deployments, allowing you to confidently deploy, monitor, and manage scalable applications.

Skills Required

To fully benefit from this course, learners should have:

• Basic knowledge of containers and Docker (how containers work, creating Docker images).
• Understanding of application deployment concepts.
• Familiarity with command-line tools (Linux/macOS/Windows CLI).
• Basic knowledge of cloud computing (AWS preferred but not mandatory).

No prior Kubernetes experience is required, as this course provides a step-by-step introduction to Kubernetes.

Knowledge Area

This course provides comprehensive Kubernetes training, covering:

• Understanding Docker containers and images.
• Exploring Kubernetes architecture and control plane components.
• Deploying and managing applications within Kubernetes clusters.
• Configuring networking, services, and ingress for pod access.
• Implementing rollout strategies and workload scaling using deployments.
• Managing configurations, secrets, and storage in Kubernetes.
• Running batch jobs using Kubernetes Jobs and CronJobs.
• Deploying and managing applications in AWS Elastic Kubernetes Service (EKS).

Who should take This Course?

This course is ideal for:

• Application developers who want to learn how to deploy and manage applications in Kubernetes.
• Software engineers and DevOps professionals looking to gain expertise in container orchestration.
• Cloud engineers who need to work with Kubernetes on AWS and other cloud platforms.
• Computer science students eager to understand Kubernetes architecture and operations.

Prerequisites:

• Familiarity with Docker and containers (basic level).
• Comfort using the command line (Linux/macOS/Windows CLI).
• Basic understanding of cloud services (helpful but not mandatory).

Course Content Overview

The Kubernetes for Developers Exam covers the following topics - 

Domain 1. Introduction to the Course

• Overview of the course structure and learning roadmap.
• How to follow the course effectively for maximum learning.

Domain 2. Understanding Containers and Docker Basics

• Learning what containers are and why they are essential in modern development.
• Installing Docker and running containerized applications.
• Understanding Docker images and how to create and manage them.
• Establishing communication between multiple containers.
• Exploring volumes and storage options in containers.
• Using Docker Compose to manage multiple containerized services.

Domain 3. Core Concepts of Kubernetes

• Understanding what Kubernetes is and why it was created.
• Exploring the components of the Kubernetes control plane.
• Learning what a Pod is and how it relates to containers.
• Walking through the Pod lifecycle and its various states.
• Introduction to Kubernetes Namespaces and Manifest Files.

Domain 4. Setting Up Your First Kubernetes Environment

• Installing a local Kubernetes cluster using Minikube.
• Learning basic kubectl commands to manage clusters.
• Creating your first Kubernetes Pod using kubectl.

Domain 5. Managing the Pod Lifecycle in Kubernetes

• Deploying a REST API within Kubernetes.
• Understanding Init containers and their role in application startup.
• Exploring Liveness Probe to check the health of running Pods.
• Using Startup Probe to monitor application readiness.
• Implementing Post-Start and Pre-Stop hooks for better lifecycle management.

Domain 6. Accessing Kubernetes Pods Through Services

• Understanding Kubernetes Services and their importance.
• Exploring different service types:
• ClusterIP Service for internal communication.
• NodePort Service for exposing applications externally.
• LoadBalancer Service for distributing traffic.
• Headless Service for direct access to backend Pods.

Domain 7. Using Ingress for External Traffic Routing

• Understanding the difference between Ingress and Services.
• Installing an Ingress Controller in Minikube.
• Creating Ingress rules to route traffic to specific services.
• Exploring various traffic routing strategies using Ingress.

Domain 8. Managing Kubernetes Workloads with Deployments and ReplicaSets

• Understanding what ReplicaSets are and how they maintain desired Pod states.
• Learning about Deployments and how they manage application rollouts.
• Exploring the process of rolling out updates and rolling back failed deployments.
• Configuring different rollout strategies for stability and high availability.

Domain 9. Running Batch Workflows in Kubernetes

• Exploring the Job resource to run tasks inside Kubernetes.
• Using CronJobs for scheduled automated tasks.

Domain 10. Managing Configurations and Secrets in Kubernetes

• Understanding ConfigMaps and their role in application configuration.
• Exploring Secret resources for managing sensitive information.
• Learning best practices for handling Secrets in Kubernetes.

Domain 11. Storage Management in Kubernetes

• Exploring Ephemeral Volumes for temporary data storage.
• Understanding PersistentVolumes (PVs), PersistentVolumeClaims (PVCs), and StorageClasses (SCs).
• Hands-on demo for working with PVs, PVCs, and SCs.
• Learning about StatefulSets for managing stateful applications.

Domain 12. Deploying Kubernetes Applications on AWS Elastic Kubernetes Service (EKS)

• Step 1: Creating an EKS cluster and adding worker nodes.
• Step 2: Connecting to the EKS cluster using kubectl.
• Step 3: Deploying an application on EKS.
• Step 4: Exposing the application through a Network Load Balancer (NLB).
• Step 5: Configuring an Application Load Balancer (ALB) for enhanced traffic routing.
• Step 6: Cleaning up resources to optimize cloud costs.