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AZ-400: Microsoft Azure DevOps Engineer Expert

 
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AZ-400: Microsoft Azure DevOps Engineer Expert

Microsoft Azure DevOps Engineer Expert - Become a certified DevOps Engineer with expertise in Microsoft Azure. Master the skills to design and implement DevOps practices using Azure services. Learn CI/CD pipelines, version control, and automation. Optimize collaboration and software delivery in the Azure cloud environment. Prepare for the AZ-400 certification and take your career to new heights as a proficient Azure DevOps Engineer Expert.

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Course Description

About the Course

Students will learn how to use source control, scale Git for an enterprise, implement and manage build infrastructure, implement continuous integration in an Azure DevOps pipeline, how to manage code quality and security principles, how to implement a container build strategy, design a release strategy, set up a release management workflow, implement an appropriate deployment pattern, design a dependency management strategy and manage security and compliance, how to implement infrastructure as code and configuration management, how to provision Azure infrastructure using common automation tools, and how to deploy an application infrastructure using various Azure services and deployment methodologies. Students will also learn how to integrate 3rd party deployment tools with Azure, such as Chef and Puppet to incorporate compliance and security into the release pipeline, recommend and design system feedback mechanisms, implement a process for routing system feedback to development teams, optimize feedback mechanisms, plan for transformation, select a project, and create team structures. Students will also learn how to develop quality and security strategies. Planning for migrating and consolidating artifacts and source control will also be covered.

Course Curriculum

AZ-400: Microsoft Azure DevOps Engineer Expert

Objectives

  • Describe the benefits of using source control
  • Migrate from TFVC to Git
  • Scale Git for Enterprise DevOps
  • Implement and manage build infrastructure
  • Explain why continuous integration matters
  • Integrate other build tooling with Azure DevOps
  • Create hybrid build processes
  • Describe what is meant by code quality and how it is measured
  • Detect code smells
  • Differentiate between a release and a deployment
  • Define the components of a release pipeline
  • Explain things to consider when designing your release strategy
  • Explain deployment patterns, both in the traditional sense and in the modern sense
  • Implement Progressive Exposure Deployment
  • Recommend artifact management tools and practices
  • Abstract common packages to enable sharing and reuse
  • Inspect codebase to identify code dependencies that can be converted to packages
  • Manage security and compliance
  • Apply infrastructure and configuration as code principles
  • Deploy and manage infrastructure using Microsoft automation technologies such as ARM templates, PowerShell, and Azure CLI
  • Describe deployment models and services that are available with Azure
  • Deploy and configure a Managed Kubernetes cluster
  • Design practices to measure end-user satisfaction
  • Design processes to capture and analyze user feedback from external sources
  • Recommend system and feature usage tracking tools
  • Configure crash report integration for client applications
  • Develop monitoring and status dashboards
  • Plan for the transformation with shared goals and timelines
  • Develop a project quality strategy
  • Plan for secure development practices and compliance rules
  • Migrate and consolidate artifacts
  • Migrate and integrate source control measures and many more...

Target Audience

Students in this course are interested in implementing DevOps processes or in passing the Microsoft Azure DevOps Solutions certification exam.

Prerequisites

Fundamental knowledge about Azure, version control, Agile software development, and core software development principles. It would be helpful to have experience in an organization that delivers software.

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