AZ-400: Microsoft Azure DevOps Engineer Expert


Duration: 4 Days


This course provides the knowledge and skills to implement DevOps processes.practices and continuous integration, implement continuous delivery and implement dependency management.
This course provides students with the key knowledge to help prepare for Exam AZ-400. Passing this exam is required to earn Microsoft Certified Azure DevOps Engineer Expert certification.

Additional information

Course Content

Implementing DevOps Development Processes

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
– Git Branching workflows
– Collaborating with Pull Requests
– Why care about GitHooks?
– Fostering Internal Open Source
– Git Version
– Public projects
– 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 and 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
– Introduction to Security
– 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 Mobile DevOps
– 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
– Create public and private distribution groups

Implementing Continuous Integration

1. Implementing Continuous Integration in an Azure DevOps Pipeline
– Continuous Integration Overview
– Implementing a Build Strategy

2. Managing Code Quality and Security Policies
– Managing Code Quality
– Managing Security Policies

3. Implementing a Container Build Strategy
– Implementing a Container Build Strategy

Implementing Continuous Delivery

1. Design a Release Strategy
– Introduction to Continuous Delivery
– Release strategy recommendations
– Building a High Quality Release pipeline
– Choosing a deployment pattern
– Choosing the right release management tool

2. Set up a Release Management Workflow
– 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

3. Implement an appropriate deployment pattern
– Introduction into Deployment Patterns
– Implement Blue Green Deployment
– Feature Toggles
– Canary Releases
– Dark Launching
– AB Testing
– Progressive Exposure Deployment

Implementing Dependency Management

1. Designing a Dependency Management Strategy
– Introduction
– Packaging dependencies
– Package management
– Implement a versioning strategy

2. Manage security and compliance
– Introduction
– Package security
– Open source software
– Integrating license and vulnerability scans

Implementing Application Infrastructure

1. 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
– Lab Deploy to Azure using ARM templates

2. 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
– Lab Azure Automation – IaaS or PaaS deployment

3. Create and Manage Kubernetes Service Infrastructure
– Learning Objectives
– Azure Kubernetes Service
– Lab Deploy and Scale AKS Cluster

4. Third Party and Open Source Tools available with Azure
– Learning Objectives
– Chef
– Puppet
– Ansible
– Cloud-Init
– Terraform
– Lab Provision and configure an App in Azure Using X

5. Implement Compliance and Security in your Infrastructure
– Security and Compliance Principles with DevOps
– Azure Security Center
– Lab Integrate a scanning extension or tool in an AZ DevOps pipeline/security center

Implementing Continuous Feedback
1. Recommend and design system feedback mechanisms
– The inner loop
– Continuous Experimentation mindset
– Design practices to measure end-user satisfaction
– Design processes to capture and analyze user feedback
– Design process to automate application analytics

2. 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

3. 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

Designing a DevOps Strategy
1. Planning for DevOps
– Transformation Planning
– Project Selection
– Team Structures
2. Planning for Quality and Security
– Planning a Quality Strategy
– Planning Secure Development
3. Migrating and Consolidating Artifacts and Tools
– Migrating and Consolidating Artifacts
– Migrating and Integrating Source Control


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