Docker and Kubernetes Practice Exam

Docker is a platform that enables developers to create, deploy, and run applications in containers, which are lightweight, portable, and isolated environments. Containers allow applications to run consistently across different environments, from development to production, without worrying about differences in operating systems or dependencies. Kubernetes, is an open-source container orchestration platform which automates the deployment, scaling, and management of containerized applications. It provides features such as automatic scaling, self-healing, and rolling updates, making it easier to manage complex containerized workloads in production environments. Together, Docker and Kubernetes provide a powerful solution for developing, deploying, and managing modern applications in a cloud-native environment.
Why is Docker and Kubernetes important?

• Efficiency: Docker allows for lightweight, portable containers that can be easily shared and deployed across different environments, streamlining the development and deployment process.
• Scalability: Kubernetes automates the scaling of applications based on demand, ensuring that resources are efficiently utilized and applications are highly available.
• Consistency: Docker containers ensure consistency in the development, testing, and production environments, reducing the risk of issues arising from environment discrepancies.
• Resource Optimization: Kubernetes optimizes resource utilization by automatically allocating resources based on application requirements, improving overall efficiency.
• Microservices Architecture: Docker and Kubernetes are well-suited for microservices architecture, enabling the development and deployment of modular, independently deployable services.
• DevOps Practices: Both tools promote DevOps practices by facilitating collaboration between development and operations teams, enabling faster and more reliable application delivery.

Who should take the Docker and Kubernetes Exam?

• DevOps Engineers
• System Administrators
• Cloud Architects
• Software Developers
• IT Operations
• Site Reliability Engineers

Skills Evaluated

Candidates taking certification exams on Docker and Kubernetes are typically evaluated for the following skills:

• Containerization Concepts
• Docker Commands
• Docker Image Creation and Management
• Networking with Docker
• Docker Storage
• Kubernetes Architecture
• Kubectl Commands
• Kubernetes Deployment and Scaling
• Kubernetes Service Discovery and Load Balancing
• Docker and Kubernetes Troubleshooting
• Docker and Kubernetes Security
• Docker and Kubernetes Monitoring and Logging
  

Docker and Kubernetes Certification Course Outline

1. Docker Basics

   • Docker architecture
   • Docker containers
   • Docker images

2. Docker Installation and Configuration

   • Installing Docker
   • Configuring Docker daemon
   • Docker networking

3. Working with Docker Containers

   • Managing containers
   • Docker Compose
   • Container networking

4. Docker Images

   • Creating Docker images
   • Managing Docker images
   • Docker registries

5. Docker Volumes and Storage

   • Managing data in Docker containers
   • Docker volumes
   • Docker storage drivers

6. Docker Networking

   • Container networking
   • Docker network drivers
   • Docker networking tools

7. Docker Security

   • Container security
   • Docker security best practices
   • Docker Content Trust

8. Docker Orchestration with Kubernetes

   • Introduction to Kubernetes
   • Kubernetes architecture
   • Kubernetes components

9. Kubernetes Installation and Configuration

   • Installing Kubernetes
   • Configuring Kubernetes clusters
   • Kubernetes networking

10. Kubernetes Pods and Deployments

    • Managing Pods
    • Deployments and ReplicaSets
    • Kubernetes services

11. Kubernetes Storage

    • Persistent volumes
    • Storage classes
    • Dynamic volume provisioning

12. Kubernetes Networking

    • Kubernetes networking concepts
    • Service networking
    • Ingress and load balancing

13. Kubernetes Security

    • Kubernetes security best practices
    • Network policies
    • Role-based access control (RBAC)

14. Kubernetes Monitoring and Logging

    • Monitoring Kubernetes clusters
    • Logging best practices
    • Using monitoring tools with Kubernetes

15. Kubernetes High Availability and Scalability

    • High availability concepts
    • Scaling applications in Kubernetes
    • Cluster autoscaling

16. Kubernetes Upgrades and Maintenance

    • Upgrading Kubernetes clusters
    • Maintenance tasks
    • Backup and restore strategies

17. Kubernetes Advanced Topics

    • Custom resource definitions (CRDs)
    • Kubernetes operators
    • Advanced networking features

18. Docker and Kubernetes Best Practices

    • Best practices for containerization
    • Best practices for Kubernetes deployments
    • Optimizing Docker and Kubernetes configurations

19. Troubleshooting Docker and Kubernetes

    • Common Docker issues and solutions
    • Troubleshooting Kubernetes clusters
    • Debugging containerized applications