Mastering DevOps Practice Exam
Mastering DevOps Practice Exam
About Mastering DevOps Exam
The Mastering DevOps exam is designed to assess a candidate’s proficiency in implementing DevOps practices and tools across various stages of the software development lifecycle. The exam evaluates the ability to use industry-standard DevOps practices for automation, continuous integration/continuous deployment (CI/CD), monitoring, collaboration, and version control. You will need to demonstrate an understanding of the tools, techniques, and cultural principles that drive DevOps workflows and ensure smooth operations in a development environment.
Skills Required
To succeed in the Mastering DevOps exam, candidates should have proficiency in the following areas:
- Familiarity with Git and GitHub for code collaboration and version management.
- Setting up, maintaining, and optimizing CI/CD pipelines using popular tools such as Jenkins, GitLab CI, and CircleCI.
- Proficiency with automation tools like Terraform, Ansible, and Puppet for infrastructure provisioning and configuration management.
- Knowledge of Docker for containerization and Kubernetes for orchestrating containers at scale.
- Implementing monitoring solutions using tools like Prometheus, Grafana, and ELK Stack (Elasticsearch, Logstash, and Kibana).
- Usage of Slack, Jira, and Trello to foster collaboration and manage projects effectively in a DevOps environment.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and understanding how to deploy applications in a cloud environment.
Who should take the Exam?
The Mastering DevOps exam is intended for professionals who are involved in software development, IT operations, and system administration. It is ideal for the following roles:
- DevOps Engineers
- Software Engineers
- System Administrators
- Site Reliability Engineers (SREs)
- IT Operations Managers
Course Outline
The Mastering DevOps Exam covers the following topics -
Domain 1 - Course Introduction
- Overview of DevOps
- Introduction to DevOps concepts and tools covered
- Resources for the course
- Setting up an AWS account
Domain 2 - Git and GitHub
- Introduction to Git
- Content overview and course prerequisites
- What is version control and why Git is essential
- Installing and configuring Git on Windows and EC2
- Understanding Git workflow and stages
- Creating and managing repositories on GitHub
- Cloning repositories, pushing code, and working with commits
- Branching, merging, and handling conflicts in Git
- Pull requests and forking repositories on GitHub
- Using Git rebase, Git fetch, and other advanced commands
- Setting up a Git project and enabling DevOps workflow with pull requests for code merges
Domain 3 - Maven
- Introduction to Maven and its role in DevOps
- Setting up Java and Eclipse on Windows
- Creating and managing Maven projects
- Maven goals, dependencies, and repositories
- Using Maven to deploy Java projects to GitHub
- Integrating Maven with Jenkins for building and deploying Java applications
- Setting up and configuring Maven servers and Tomcat
Domain 4 - Artifactory
- Artifactory setup and its integration with Jenkins
Domain 5 - Jenkins
- Introduction to Jenkins
- Creating and configuring Jenkins jobs
- Running Maven jobs and integrating with GitHub
- Configuring Jenkins Master-Slave setup and Webhooks
- Building Jenkins Pipelines and integrating with Artifactory
Domain 6 - SonarQube
- Introduction and installation of SonarQube
- SonarQube console overview
- Integrating SonarQube with Jenkins and PostgreSQL
Domain 7 - Ansible
- Introduction to Ansible and setup
- Writing Ansible playbooks and working with variables, roles, and vaults
- Automating Jenkins setup, CI/CD jobs, and Tomcat deployment using Ansible
Domain 8 - Docker
- Introduction to Docker and Kubernetes
- Basic Docker commands and DockerHub usage
- Working with Docker images, networks, and volumes
- Writing Dockerfiles, Docker Compose, and Docker Swarm
Domain 9 - Kubernetes
- Setting up and managing Kubernetes clusters with Minikube and Kubeadm
- Configuring clusters and services on Google Cloud
- Managing Kubernetes objects, Pods, and Helm Charts
- CI/CD job configuration and deployment to Kubernetes clusters
- Autoscaling and monitoring with Prometheus and EFK
Domain 10 - Prometheus
- Setting up Prometheus for monitoring
- Integrating Prometheus with Grafana for visualizing metrics
