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AZ-400: Microsoft Azure DevOps Solutions

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Fee:  $2795

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AZ-400: Microsoft Azure DevOps Solutions Course Outline

This course provides the knowledge and skills to design and implement DevOps processes and practices. Students will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, set up a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.

*** NOTE: This class also available in On-Demand, eLearning Format ***
Too busy to attend this class during the work day? Consider the Microsoft On-Demand, self-study version of this course. Watch expert lectures and demonstrations, work with hands-on labs, and study at your own pace. For details on this economical alternative format, go to:
Microsoft On-Demand: Designing and Implementing Microsoft DevOps Solutions (AZ-400)

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

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.

At course completion
After completing this course, students will be able to:
Plan for the transformation with shared goals and timelines
Select a project and identify project metrics and KPIs
Create a team and agile organization structure
Describe the benefits of using Source Control
Migrate from TFVC to Git
Scale Git for Enterprise DevOps
Recommend artifact management tools and practices
Abstract common packages to enable sharing and reuse
Migrate and consolidate artifacts
Migrate and integrate source control measures
Manage application config and secrets
Develop a project quality strategy
Plan for secure development practices and compliance rules
Implement and manage build infrastructure
Explain why continuous integration matters
Implement continuous integration using Azure DevOps
Manage code quality including: technical debt, SonarCloud, and other tooling solutions
Manage security policies with open source, OWASP, and WhiteSource Bolt
Implement a container strategy including how containers are different from virtual machines and how microservices use containers
Implement containers using Docker
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
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
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
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
Describe deployment patterns
Implement Blue Green Deployment
Implement Canary Release
Implement Progressive Exposure Deployment
Configure crash report integration for client applications
Develop monitoring and status dashboards
Implement routing for client application crash report data
Implement tools to track system usage, feature usage, and flow
Integrate and configure ticketing systems with development team's work management
Implement a mobile DevOps strategy
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
Deploy and configure infrastructure using 3rd party tools and services with Azure, such as Chef, Puppet, Ansible, SaltStack, and Terraform
Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
Implement compliance and security in your application infrastructure
Design practices to measure end-user satisfaction
Design processes to capture and analyze user feedback from external sources
Design routing for client application crash report data
Recommend monitoring tools and technologies
Recommend system and feature usage tracking tools
Analyze alerts to establish a baseline
Analyze telemetry to establish a baseline
Perform live site reviews and capture feedback for system outages
Perform ongoing tuning to reduce meaningless or non-actionable alerts

Course Outline

Module 1: Planning for DevOps
Transformation Planning
Project Selection
Team Structures
Migrating to Azure DevOps
Lab : Agile Planning and Portfolio Management with Azure Boards

Module 2: Getting started with Source Control
What is Source Control
Benefits of Source Control
Types of Source Control Systems
Introduction to Azure Repos
Introduction to GitHub
Migrating from Team Foundation Version Control (TFVC) to Git in Azure Repos
Authenticating to Git in Azure Repos
Lab : Version Controlling with Git

Module 3: Scaling Git for enterprise DevOps
How to Structure your Git Repo
Git Branching Workflows
Collaborating with Pull Requests in Azure Repos
Why care about GitHooks
Fostering Inner Source
Lab : Code Review with Pull Requests

Module 4: Consolidating Artifacts & Designing a Dependency Management Strategy
Packaging Dependencies
Package Management
Migrating and Consolidating Artifacts
Lab : Updating Packages

Module 5: Implementing Continuous Integration with Azure Pipelines
The concept of pipelines in DevOps
Azure Pipelines
Evaluate use of Hosted vs Private Agents
Agent Pools
Pipelines and Concurrency
Azure DevOps and Open Source Projects (Public Projects)
Azure Pipelines YAML vs Visual Designer
Continuous Integration Overview
Implementing a Build Strategy
Integration with Azure Pipelines
Integrate External Source Control with Azure Pipelines
Set Up Private Agents
Analyze and Integrate Docker Multi-Stage Builds
Lab : Enabling Continuous Integration with Azure Pipelines
Lab : Integrating External Source Control with Azure Pipelines
Lab : Integrate Jenkins with Azure Pipelines
Lab : Deploying a Multi-Container Application

Module 6: Managing Application Config and Secrets
Introduction to Security
Implement secure and compliant development process
Rethinking application config data
Manage secrets, tokens, and certificates
Implement tools for managing security and compliance in a pipeline
Lab : Integrating Azure Key Vault with Azure DevOps

Module 7: Managing Code Quality and Security Policies
Managing Code Quality
Managing Security Policies
Lab : Managing Technical Debt with Azure DevOps and SonarCloud

Module 8: Implementing a Container Build Strategy
Implementing a Container Build Strategy
Lab : Modernizing Existing ASP.NET Apps with Azure

Module 9: Manage Artifact versioning, security & compliance
Package security
Open source software
Integrating license and vulnerability scans
Implement a versioning strategy (git version)
Lab : Manage Open Source Security and License with WhiteSource

Module 10: 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

Module 11: 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
Lab : Configuring Pipelines as Code with YAML
Lab : Setting up secrets in the pipeline with Azure Key vault
Lab : Setting up and Running Functional Tests
Lab : Using Azure Monitor as release gate
Lab : Creating a release Dashboard

Module 12: Implement an appropriate deployment pattern
Introduction to Deployment Patterns
Implement Blue Green Deployment
Feature Toggles
Canary Releases
Dark Launching
AB Testing
Progressive Exposure Deployment
Lab : Feature Flag Management with LaunchDarkly and Azure DevOps

Module 13: 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
Lab : Monitoring Application Performance

Module 14: 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

Module 15: Infrastructure and Configuration Azure Tools
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
Desired State Configuration (DSC)
Azure Automation with DevOps
Additional Automation Tools
Lab : Azure Deployments using Resource Manager Templates

Module 16: Azure Deployment Models and Services
Deployment Modules and Options
Azure Infrastructure-as-a-Service (IaaS) Services
Azure Platform-as-a-Service (PaaS) services
Serverless and HPC Computer Services
Azure Service Fabric
Lab : Azure Automation - IaaS or PaaS deployment

Module 17: Create and Manage Kubernetes Service Infrastructure
Azure Kubernetes Service
Lab : Deploying a multi-container application to Azure Kubernetes Service

Module 18: Third Party Infrastructure as Code Tools available with Azure
Lab : Infrastructure as Code
Lab : Automating Your Infrastructure Deployments in the Cloud with Terraform and Azure Pipelines

Module 19: Implement Compliance and Security in your Infrastructure
Security and Compliance Principles with DevOps
Azure security Center
Lab : Implement Security and Compliance in an Azure DevOps Pipeline

Module 20: 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
Lab : Integration between Azure DevOps and Teams

Module 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 Retrospectives and a Just Culture
View outline in Word


Attend hands-on, instructor-led AZ-400: Microsoft Azure DevOps Solutions training classes at ONLC's more than 300 locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

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