Agile, Scrum & DevOps:
Microsoft Azure DevOps Solutions
Accredited by Microsoft
500 Learners
Advanced
Microsoft Azure DevOps Solutions Training course provides the knowledge and skills to design and implement DevOps processes and practices. Participants will learn how to plan for DevOps, use source control, scale Git for an enterprise, consolidate artefacts, 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.
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Microsoft Azure DevOps Solutions
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Microsoft Azure DevOps Solutions Training Course Overview
Microsoft Azure DevOps Solutions training course, delegates will learn how to design and implement DevOps practices for version control, compliance, and infrastructure as code. They will also learn configuration management, build, release, and testing using Azure technologies.
Agile, Scrum & DevOps : Microsoft Azure DevOps Solutions <div class="big fw-bold text-primary has-dot has-dot-warning"> Course <span class="has-fancy has-fancy-warning">Overview</span> </div>
What You Will Learn?
  • 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
  • Explain why continuous integration matters
  • Implement continuous integration using Azure DevOps
  • Configure builds and the options available
  • Create an automated build workflow
  • Integrate another build tooling with Azure DevOps
  • Create hybrid build processes
  • Please describe what is meant by code quality and how it is measured
  • Detect code smells
  • Integrate automated tests for code quality
  • Report on code coverage during testing
  • Add tooling to calculate technical debt
  • Detect open source and other licensing issues
  • Implement a container build 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
  • 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
  • Recommend artefact management tools and practices
  • Abstract standard packages to enable sharing and reuse
  • Inspect codebase to identify code dependencies that can convert 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
  • 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
  • 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
  • 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 the development team's work management system
  • 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
  • Plan for the transformation with shared goals and timelines.
  • Select a project and identify project metrics and KPIs.
  • Create a team and agile organizational structure.
  • Develop a project quality strategy.
  • Plan for secure development practices and compliance rules.
  • Migrate and consolidate artefacts.
  • Migrate and integrate source control measures.
Course Key Features
  • Prepare for Microsoft MAZ-400 certification exam
  • Microsoft Official Course content
  • After-course instructor coaching benefit
Training Options
In-Class
Starts from
No price
Preferred
  • 4-days in-class training 
  • Official Microsoft Curriculum
  • After-course instructor coaching benefit
  • Pre-course consultation
  • Highly experienced instructor(s)
  • Post-course follow-up
  • All related Averest's quality control tools
  • Required stationary
  • 5 or 4 stars training venue
  • 24x7 learner assistance and support
Online Instructor-Led
Starts from
No price
  • 4-days instructor-led training course
  • Official Microsoft Curriculum
  • After-course instructor coaching benefit
  • Pre-course consultation
  • Highly experienced instructor(s)
  • 24x7 learner assistance and support
Microsoft Azure DevOps Solutions Training Schedules
You can get this course with 2 training options and 2 venues
Filter:
Corporate Team Training
We will design the Microsoft Azure DevOps Solutions Training Program for your business’s unique requirements.
Corporate Team Training
Course Content
Microsoft Azure DevOps Solutions
Section 01 - 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 your Git Repos
Section 02 - 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
Section 03 - Implement & Manage Build Infrastructure
The concept of pipelines in DevOps
Azure Pipelines
Evaluate the 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 of external source control with Azure Pipelines
Analyze & Integrate Docker multi-stage builds
Section 04 - Managing application config & secrets
Introduction to Security
Implement a secure & compliant development process
Rethinking application config data
Manage secrets, tokens & certificates
Implement tools for managing security and compliance in a pipeline
Section 05 - 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 of tester devices for deployment
Create public and private distribution groups
Section 06 - Implementing Continuous Integration in an Azure DevOps Pipeline
Continuous Integration Overview
Implementing a Build Strategy
Lab: Enabling Continuous Integration with Azure Pipelines
Lab: Creating a Jenkins Build Job and Triggering CI
Section 07 - Module 7: Managing Code Quality and Security Policies
Managing Code Quality
Managing Security Policies
Lab: Managing Technical Debt with Azure DevOps and SonarCloud
Lab: Checking Vulnerabilities using WhiteSource Bolt and Azure DevOps
Section 08 - Implementing a Container Build Strategy
Implementing a Container Build Strategy
Lab: Existing .NET Applications with Azure and Docker Images
Section 09 - Design a Release Strategy
Introduction to Continuous Delivery
Release strategy recommendations
Building a High-Quality Release pipeline
Choosing a deployment pattern
Selecting the right release management tool
Lab: 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
Section 10 - 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: Automating your infrastructure deployments in the Cloud with Terraform and Azure Pipelines
Lab: Setting up secrets in the pipeline with Azure Key vault
Lab: Setting up and Running Load Tests
Lab: Setting up and Running Functional Tests
Lab: Using Azure Monitor as release gate
Lab: Creating a Release Dashboard
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
Section 11 - 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: Blue-Green Deployments
Lab: Traffic Manager
Describe deployment patterns
Implement Blue Green Deployment
Implement Canary Release
Implement Progressive Exposure Deployment
Section 12 - Designing a Dependency Management Strategy
Introduction
Packaging dependencies
Package management
Implement a versioning strategy
Lab: Updating packages
Recommend artefact management tools and practices
Abstract standard packages to enable sharing and reuse
Inspect the codebase to identify code dependencies that can be converted to packages
Identify and recommend standardised package types and versions across the solution
Refactor existing build pipelines to implement a version strategy that publishes packages
Manage security and compliance
Section 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
Section 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
Lab Deploy to Azure using ARM templates
Module Review Questions
Section 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
Lab Azure Automation - IaaS or PaaS deployment
Module Review Questions
Section 16 - Create and Manage Kubernetes Service Infrastructure
Learning Objectives
Azure Kubernetes Service
Lab Deploy and Scale AKS Cluster
Module Review Questions
Section 17 - 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
Module Review Questions
Section 18 - 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 centre
Module Review Questions
Section 19 - Recommend and design system feedback mechanisms
The inner loop
Continuous Experimentation mindset
Design practices to measure end-user satisfaction
Section 20 - Planning for DevOps
Transformation Planning
Project Selection
Team Structures
Lab: Agile Planning and Portfolio Management with Azure Boards
Section 21 - Planning for Quality and Security
Planning a Quality Strategy
Planning Secure Development
Lab: Feature Flag Management with LaunchDarkly and AzureDevOps
Section 22 - Migrating and Consolidating Artifacts and Tools
Migrating and Consolidating Artifacts
Migrating and Integrating Source Control
Lab: Integrating Azure Repos and Azure Pipelines with Eclipse
Design processes to capture and analyze user feedback
Design process to automate application analytics
Lab: Integration between Azure DevOps and Teams
Lab: Feature Flags
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
Section 23 - 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
Section 24 - 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
Microsoft Azure DevOps Solutions Training Course Exam & Certification
Microsoft Azure DevOps Solutions Training Course Exam & Certification
Microsoft Azure DevOps Solutions MAZ400 Training FAQs
Does DevOps pay well?

The median annual salary for DevOps engineers is around $93,000, while the top 10% earn approximately $135,000 per year.

Do Microsoft Azure certifications expire?

The Azure role-based certifications expire in two years. Your certification will always appear on your official Microsoft transcript, but will be listed in a separate section from your active certifications.

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