AZ-400: Microsoft Azure Devops Solution Training

Lesson

Introduction to DevOps

Choose the right project

Describe team structures

Migrate to DevOps

Introduction to source control

Describe types of source control systems

Work with Azure Repos and GitHub

Lab: Agile planning and portfolio management with Azure Boards

Lab: Version controlling with Git in Azure Repos

After completing this module, students will be able to:

Understand what DevOps is and the steps to accomplish it

Identify teams to implement the process

Plan for the transformation with shared goals and timelines

Plan and define timelines for goals

Understand different projects and systems to guide the journey

Select a project to start the DevOps transformation

Identify groups to minimize initial resistance

Identify project metrics and Key Performance Indicators (KPI's)

Understand agile practices and principles of agile development

Create a team and agile organizational structure

Lesson

Structure your Git Repo

Manage Git branches and workflows

Collaborate with pull requests in Azure Repos

Explore Git hooks

Plan fostering inner source

Manage Git repositories

Lab: Version controlling with Git in Azure Repos

After completing this module, students will be able to:

Understand Git repositories

Implement mono repo or multiple repos

Explain how to structure Git Repos

Implement a change log

Describe Git branching workflows

Implement feature branches

Implement GitFlow

Fork a repo

Leverage pull requests for collaboration and code reviews

Give feedback using pull requests

Lesson

Explore Azure Pipelines

Manage Azure Pipeline agents and pools

Describe pipelines and concurrency

Explore Continuous integration

Implement a pipeline strategy

Integrate with Azure Pipelines

Introduction to GitHub Actions

Learn continuous integration with GitHub Actions

Lab: Configuring agent pools and understanding pipeline styles

After completing this module, students will be able to:

Describe Azure Pipelines

Explain the role of Azure Pipelines and its components

Decide Pipeline automation responsibility

Understand Azure Pipeline key terms

Choose between Microsoft-hosted and self-hosted agents

Install and configure Azure pipelines Agents

Configure agent pools

Make the agents and pools secure

Use and estimate parallel jobs

Lesson

Introduction to continuous delivery

Explore release strategy recommendations

Build a high-quality release pipeline

Introduction to deployment patterns

Implement blue-green deployment and feature toggles

Implement canary releases and dark launching

Implement A-B testing and progressive exposure deployment

Lab: Controlling deployments using Release Gates

Lab: Creating a release dashboard

Lab: Feature flag management with LaunchDarkly and Azure DevOps

After completing this module, students will be able to:

Explain continuous delivery (CD)

Implement continuous delivery in your development cycle

Understand releases and deployment

Identify project opportunities to apply CD

Explain things to consider when designing your release strategy

Define the components of a release pipeline and use artifact sources

Create a release approval plan

Implement release gates

Differentiate between a release and a deployment

Lesson

Create a release pipeline

Configure and provision environments

Manage and modularize tasks and templates

Automate inspection of health

Introduction to security development process

Manage application configuration data

Integrate with identity management systems

Implement application configuration

Lab: Configuring pipelines as code with YAML

Lab: Setting up and running functional tests

Lab: Integrating Azure Key Vault with Azure DevOps

After completing this module, students will be able to:

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

Implement release jobs

Differentiate between multi-agent and multi-configuration release job

Provision and configure target environment

Deploy to an environment securely using a service connection

Configure functional test automation and run availability tests

Setup test infrastructure

Use and manage task and variable groups

Lesson

Explore infrastructure as code and configuration management

Create Azure resources using Azure Resource Manager templates

Create Azure resources by using Azure CLI

Explore Azure Automation with DevOps

Implement Desired State Configuration (DSC)

Introduction to Chef and Puppet

Implement Ansible

Implement Terraform

Lab: Deployments using Azure Resource Manager templates

Lab: Ansible with Azure

Lab: Automating infrastructure deployments in the cloud with Terraform and Azure Pipelines

After completing this module, students will be able to:

Understand how to deploy your environment

Plan your environment configuration

Choose between imperative versus declarative configuration

Explain idempotent configuration

Create Azure resources using ARM templates

Understand ARM templates and template components

Manage dependencies and secrets in templates

Organize and modularize templates

Create Azure resources using Azure CLI

Lesson

Explore package dependencies

Understand package management

Migrate, consolidating and secure artifacts

Implement a versioning strategy

Lab: Package management with Azure Artifacts

After completing this module, students will be able to:

Define dependency management strategy

Identify dependencies

Describe elements and componentization of a dependency management

Scan your codebase for dependencies

Implement package management

Manage package feed

Consume and create packages

Publish packages

Identify artifact repositories

Migrate and integrate artifact repositories

Lesson

Design a container build strategy

Implement Docker multi-stage builds

Implement Azure Kubernetes Service (AKS)

Explore Kubernetes tooling

Integrate AKS with Pipelines

Lab: Deploying Docker Containers to Azure App Service web apps

Lab: Deploying a multi-container application to Azure Kubernetes Services

After completing this module, students will be able to:

Design a container strategy

Work with Docker Containers

Create an Azure Container Registry

Explain Docker microservices and containers

Implement multi-stage builds with Docker

Understand build patterns

Manage multiple projects and solutions

Add Docker support to an existing application

Implement Azure Kubernetes Service (AKS)

Deploy and connect to an AKS cluster

Lesson

Implement tools to track usage and flow

Implement route for mobile application crash report data

Develop monitor and status dashboards

Share knowledge within teams

Explore SRE and design practices to measure end-user satisfaction

Design processes to capture and analyze user feedback

Design processes to automate application analytics

Manage alerts, Blameless retrospectives and a just culture

Lab: Monitoring application performance with Application Insights

Lab: Integration between Azure DevOps and Microsoft Teams

After completing this module, students will be able to:

Implement tools to track feedback

Plan for continuous monitoring

Implement Application Insights

Use Kusto Query Language (KQL)

Implement routing for mobile applications

Configure App Center Diagnostics

Configure alerts

Create a bug tracker

Configure Azure Dashboards

Work with View Designer in Azure Monitor

Lesson

Understand security in the Pipeline

Introduction to Azure Security Center

Implement open-source software

Manage anti-malware and anti-spam policies

Integrate license and vulnerability scans

Identify technical debt

Lab: Implement security and compliance in Azure DevOps Pipelines

Lab: Managing technical debt with SonarQube and Azure DevOps

After completing this module, students will be able to:

Integrate security tools like WhiteSource, Micro Focus, Checkmarx and Veracode with Azure DevOps

Implement pipeline security

Use Secure DevOps kit for Azure (AzSK)

Configure Azure Security Center

Understand Azure policies

Describe initiatives, resource locks and Azure Blueprints

Work with Azure Advanced Threat Protection (ATP)

Implement open-source software

Explain corporate concerns for open-source components

AZ-400 certification exam duration is 210 minutes.

You learn to analyze existing quality environment, identify and recommend quality metrics, recommend a strategy for feature flag lifecycle, recommend a strategy for measuring and managing technical debt, recommend changes to team structure for quality optimization and to recommend performance testing strategy.

You will learn to recommend branching models, version control systems and code flow strategy under this training course module.

Microsoft Azure A-400 certification is valid for two years.

After getting Microsoft AZ-400 certification, you become a competitive candidate for many job tiles like Devops Engineer, Senior Devops Engineer, Cloud Engineer, Software Engineer and Senior Data Science Engineer etc.