AZ-400 Azure DevOps Engineer

This seven-MOC packaged set aligned to Azure Exam: Azure DevOps Engineer contains courseware that helps prepare students for Exams AZ-400. Passing this exam is required to earn the Azure DevOps Engineer certification.

AZ-400 Azure DevOps Engineer

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Learning Objectives

After completing this course, students will be able to:

  • Describe the benefits of using source control
  • Migrate from TFVC to Git
  • Scale Git for Enterprise DevOps
  • Implement and manage build infrastructure
  • Manage application config & secrets
  • Implement a mobile DevOps strategy

     

    Course Details

    Course Outline

    1 - Getting started with Source Control
  • What is Source Control?
  • Benefits of Source Control
  • Types of source control systems
  • Introduction to Azure Repos
  • Migrating from TFVC to Git
  • Authenticating to your Git Repos
  • 2 - Scaling git for enterprise DevOps
  • How to structure your git repo? Mono Repo or Multi-Repo?
  • Git Branching workflows
  • Collaborating with Pull Requests
  • Why care about GitHooks?
  • Fostering Internal Open Source
  • Git Version
  • public projects
  • Storing Large files in Git
  • 3 - Implement & Manage Build Infrastructure
  • The concept of pipelines in DevOps
  • Azure Pipelines
  • Evaluate use of Hosted vs Private Agents
  • Agent pools
  • Pipelines & Concurrency
  • Azure DevOps loves Open Source projects
  • Azure Pipelines YAML vs Visual Designer
  • Setup private agents
  • Integrate Jenkins with Azure Pipelines
  • Integration external source control with Azure Pipelines
  • Analyze & Integrate Docker multi stage builds
  • 4 - Managing application config & secrets
  • Demo: SQL Injection attack
  • Implement secure & compliant development process
  • Rethinking application config data
  • Manage secrets, tokens & certificates
  • Implement tools for managing security and compliance in a pipeline
  • 5 - Implement a mobile DevOps strategy
  • Introduction to Visual Studio App Center
  • Manage mobile target device sets and distribution groups
  • Manage target UI test device sets
  • Provision tester devices for deployment
  • Provision tester devices for deployment
  • 6 - Implementing Continuous Integration in an Azure DevOps Pipeline
  • Continuous Integration Overview
  • Implementing a Build Strategy
  • 7 - Managing Code Quality and Security Policies
  • Managing Code Quality
  • Managing Security Policies
  • 8 - Implementing a Container Build Strategy
  • Implementing a Container Build Strategy
  • 9 - Design a Release Strategy
  • Introduction to Continuous Delivery
  • Introduction to Continuous Delivery
  • Release strategy recommendations
  • Building a High Quality Release pipeline
  • Choosing a deployment pattern
  • Choosing the right release management tool
  • Building a release strategy
  • Differentiate between a release and a deployment
  • Define the components of a release pipeline
  • Explain things to consider when designing your release strategy
  • Classify a release versus a release process, and outline how to control the quality of both
  • Describe the principle of release gates and how to deal with release notes and documentation
  • Explain deployment patterns, both in the traditional sense and in the modern sense
  • Choose a release management tool
  • 10 - Set up a Release Management Workflow
  • Introduction
  • Create a Release Pipeline
  • Provision and Configure Environments
  • Manage And Modularize Tasks and Templates
  • Integrate Secrets with the release pipeline
  • Configure Automated Integration and Functional Test Automation
  • Automate Inspection of Health
  • Building a release management workflow
  • Explain the terminology used in Azure DevOps and other Release Management Tooling
  • Describe what a Build and Release task is, what it can do, and some available deployment tasks
  • Classify an Agent, Agent Queue and Agent Pool
  • Explain why you sometimes need multiple release jobs in one release pipeline
  • Differentiate between multi-agent and multi-configuration release job
  • Use release variables and stage variables in your release pipeline
  • Deploy to an environment securely, using a service connection
  • Embed testing in the pipeline
  • List the different ways to inspect the health of your pipeline and release by using, alerts, service hooks and reports
  • Create a release gate
  • 11 - Implement an appropriate deployment pattern
  • Introduction into Deployment Patterns
  • Implement Blue Green Deployment
  • Implement Canary Release
  • Implement Progressive Exposure Deployment
  • Describe deployment patterns
  • Implement Blue Green Deployment
  • Implement Canary Release
  • Implement Progressive Exposure Deployment
  • 12 - Designing a Dependency Management Strategy
  • Introduction
  • Packaging dependencies
  • Package management
  • Implement versioning strategy
  • 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
  • Identify and recommend standardized package types and versions across the solution
  • Refactor existing build pipelines to implement version strategy that publishes packages
  • Manage security and compliance
  • 13 - Manage security and compliance
  • Introduction
  • Package security
  • Open source software
  • Integrating license and vulnerability scans
  • Inspect open source software packages for security and license compliance to align with corporate standards
  • Configure build pipeline to access package security and license rating
  • Configure secure access to package feeds
  • 14 - Infrastructure and Configuration Azure Tools
  • Learning Objectives
  • Infrastructure as Code and Configuration Management
  • Create Azure Resources using ARM Templates
  • Create Azure Resources using Azure CLI
  • Create Azure Resources by using Azure PowerShell
  • Additional Automation Tools
  • Version Control
  • 15 - Azure Deployment Models and Services
  • Learning Objectives
  • Deployment Models and Options
  • Azure Infrastructure-as-a-Service (IaaS) Services
  • Azure Automation with DevOps
  • Desired State Configuration (DSC)
  • Azure Platform-as-a-Service (PaaS) services
  • Azure Service Fabric
  • 16 - Create and Manage Kubernetes Service Infrastructure
  • Learning Objectives
  • Azure Kubernetes Service
  • 17 - Third Party and Open Source Tools available with Azure
  • Learning Objectives
  • Chef
  • Puppet
  • Ansible
  • Cloud-Init
  • Terraform
  • 18 - Implement Compliance and Security in your Infrastructure Lessons
  • Security and Compliance Principles with DevOps
  • Azure Security Center
  • 19 - Recommend and design system feedback mechanisms
  • The inner loop
  • Continuous Experimentation midset
  • Design practices to measure end-user satisfaction
  • Design processes to capture and analyze user feedback from external sources
  • Design process to automate application analytics
  • 20 - Implement process for routing system feedback to development teams
  • Implement tools to track system usage, feature usage, and flow
  • Implement routing for mobile application crash report data
  • Develop monitoring and status dashboards
  • Integrate and configure ticketing systems with development team's work management system
  • 21 - Optimize feedback mechanisms
  • Site Reliability Engineering
  • Analyze telemetry to establish a baseline
  • Perform ongoing tuning to reduce meaningless or non-actionable alerts
  • Analyze alerts to establish a baseline
  • Blameless PostMortems and a Just Culture
  • 22 - Planning for DevOps
  • Transformation Planning
  • Project Selection
  • Team Structures
  • 23 - Planning for Quality and Security
  • Planning a Quality Strategy
  • Planning Secure Development
  • 24 - Migrating and Consolidating Artifacts and Tools
  • Migrating and Consolidating Artifacts
  • Migrating and Integrating Source Control
  • Actual course outline may vary depending on offering center. Contact your sales representative for more information.

    Who is it For?

    Target Audience

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

    Other 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.

    AZ-400 Azure DevOps Engineer

    $2,975 | This course is SATV-Eligible
    Course Length : 5 Days (50 Hours)
     

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