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Kubernetes Basics Practice Exam

Kubernetes Basics Practice Exam


About Kubernetes Basics Exam

Kubernetes has become the industry standard for containerized application deployment in production environments. It is a must-learn tool for DevOps engineers and software developers looking to manage and scale applications efficiently.


Knowledge gained

This course will teach you the fundamentals of Kubernetes, from setting up a local cluster using Minikube to managing pods, deployments, and services. You will gain hands-on experience in creating, scaling, and updating applications in Kubernetes, all while learning how to use YAML configuration files for seamless deployment management. By the end of this course, you will be comfortable deploying, scaling, and troubleshooting applications in Kubernetes clusters, setting you on the path to becoming a skilled DevOps professional.


Skills Required

To get the most out of this course, you should:

  • Have basic knowledge of Docker (required for container management).
  • Understand software deployment concepts.
  • Be familiar with Linux command-line basics (useful but not mandatory).
  • Have an interest in DevOps and cloud-based infrastructure management.


Knowledge Area

This course covers practical Kubernetes deployment and management, including:

  • Kubernetes architecture (understanding nodes, pods, deployments, and services).
  • Setting up a Kubernetes cluster using Minikube.
  • Managing Kubernetes clusters using the command-line tool (kubectl).
  • Creating and scaling deployments to handle application traffic efficiently.
  • Configuring services to allow internal and external communication.
  • Deploying containerized applications using YAML files.
  • Monitoring, updating, and troubleshooting Kubernetes deployments.


Who should take This Course?

This course is perfect for:

  • DevOps engineers who need hands-on Kubernetes experience.
  • Software developers who want to understand how applications run in Kubernetes.
  • Cloud engineers looking to enhance their deployment and orchestration skills.
  • IT professionals and system administrators transitioning to containerized workloads.


Prerequisites:

  • Basic understanding of Docker (required for working with containers).
  • Familiarity with software deployment workflows (helpful but not required).
  • Willingness to learn Kubernetes concepts and hands-on management.


Course Content Overview

The Kubernetes Basics Exam covers the following topics - 

Domain 1. Introduction to Kubernetes

  • Overview of Kubernetes and why it is essential for modern DevOps.


Domain 2. Fundamentals of Kubernetes

  • Understanding what Kubernetes is and its purpose.
  • Learning about pods, their functions, and how they interact with nodes.
  • Exploring Kubernetes clusters and their components.
  • Understanding Kubernetes services and how they facilitate communication.
  • Introduction to kubectl, the command-line tool for managing Kubernetes.


Domain 3. Setting Up a Kubernetes Environment

  • Listing the software required for this course.
  • Step-by-step installation of kubectl.
  • Setting up Minikube to create a local Kubernetes cluster.


Domain 4. Working with Kubernetes Clusters

  • Creating a Kubernetes cluster using Minikube.
  • Exploring Kubernetes nodes and their role in the cluster.


Domain 5. Managing Kubernetes Pods

  • Creating a single pod in Kubernetes.
  • Understanding pod internals and how they function.
  • Setting up an alias for the kubectl command for easier usage.


Domain 6. Deploying Applications in Kubernetes

  • Creating and exploring Kubernetes deployments.
  • Scaling deployments to handle increased traffic.
  • Connecting to a specific pod using its IP address.


Domain 7. Configuring Kubernetes Services

  • Understanding what a service is and how it works.
  • Creating a ClusterIP service to connect to internal deployments.
  • Accessing the deployment using the ClusterIP service.


Domain 8. Managing Deployments and Services

  • Deleting Kubernetes deployments and services when they are no longer needed.


Domain 9. Deploying a Node.js Application in Kubernetes

  • Creating a simple Node.js web application.
  • Containerizing the Node.js application using Docker.
  • Pushing the custom container image to Docker Hub.
  • Deploying the custom Docker image in Kubernetes.
  • Scaling the Node.js application deployment.
  • Creating a NodePort service for external access.
  • Setting up a LoadBalancer service for better traffic distribution.


Domain 10. Rolling Updates and Pod Recovery in Kubernetes

  • Performing a rolling update on a running deployment.
  • Observing how Kubernetes recovers when a pod is deleted.


Domain 11. Using the Kubernetes Dashboard

  • Launching and managing Kubernetes clusters using the Kubernetes dashboard.


Domain 12. Working with YAML Configuration Files

  • Creating a YAML file for deployment specifications.
  • Learning how to use Kubernetes documentation for reference.
  • Applying a YAML deployment file in Kubernetes.
  • Writing a YAML specification file for services.


Domain 13. Deploying Multiple Applications in Kubernetes

  • Planning the deployment of two different applications.
  • Creating another web application with two endpoints.
  • Building a custom Docker image for the second web application.
  • Writing YAML files for the services of both applications.
  • Setting up NGINX as a reverse proxy.
  • Applying specifications for both applications in Kubernetes.


Domain 14. Managing Connectivity Between Different Deployments

  • Testing network connectivity between different deployments.
  • Resolving service names to their respective IP addresses.
  • Deleting both applications when they are no longer needed.


Domain 15. Using CRI-O as an Alternative Container Runtime

  • Understanding CRI-O and how it differs from Docker.
  • Changing the container runtime from Docker to CRI-O.
  • Deploying applications using the CRI-O container runtime.
  • Verifying deployment connectivity with CRI-O.


Domain 16. Course Summary and Next Steps

  • Wrapping up key learnings from the course.
  • Exploring next steps for mastering Kubernetes and DevOps.

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