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AZ-400 Microsoft Azure Devops Solution Training


What AZ-400 Microsoft Azure Devops Solution training is all about?

AZ-400 Microsoft Azure DevOps Solution Training is aimed at professionals to teach them the skills required for designing a DevOps strategy. This technical course provides comprehensive information on various elements, including dependency management, implementing continuous feedback and application infrastructure. Check out the Enterprise Training program, which is perfect for organizations and companies. It teaches development of a DevOps software and implementation of DevOps software building processes. Trainees will also learn to develop CI (continuous integration) and CD (continuous delivery) and enable continuous feedback mechanisms. This training program is perfect for IT professionals who want to transform themselves into an Azure DevOps Engineer Expert. It provides in-depth and comprehensive information, which makes it ideal for individuals to prepare for Microsoft's AZ-400 examination.

This training is designed based on the objectives of the course variant AZ-400T00-A

Schedule
  • Delivery Format:
Date: Nov 16, 2020 | 9:00 am - 5:00 pm EST
Location: Online
$2300 USD
  • Delivery Format:
Date: Nov 23, 2020 | 9:00 am - 5:30 pm EST
Location: Online
$2300 USD
  • Delivery Format:
Date: Nov 30, 2020 | 9:00 am - 5:30 pm EST
Location: Online
$2300 USD
  • Delivery Format:
Date: Dec 07, 2020 | 9:00 am - 6:00 pm EST
Location: Online
$2300 USD
  • Delivery Format:
Date: Dec 14, 2020 | 9:00 am - 5:30 pm EST
Location: Online
$2300 USD
What are the course objectives for AZ-400 Microsoft Azure Devops Solution training?
  • Design a dependency management strategy and secure development process
  • Learn about consolidation and migration strategy for DevOps tools
  • Create and implement an Agile management approach
  • Implement mobile DevOps strategy
  • Manage application configuration and secrets
  • Employ and integrate source control
  • Design a version release strategy and control strategy
  • Design a quality strategy and tool integration strategy
  • Implement and manage code flow and build infrastructure
  • Set up a release management workflow
  • Design a container build strategy, build strategy, and a deployment pattern
  • Manage security policies and code quality
  • Design and optimize system feedback mechanisms
  • Design a configuration and an infrastructure management strategy
  • Implement infrastructure security and compliance
  • Manage Azure Kubernetes Service infrastructure
  • Manage compliance and security and implement infrastructure as code (IaC)
  • Employ process for routing system feedback
Who should attend AZ-400 Microsoft Azure Devops Solution training?

Experienced Azure professionals with Azure Developer Associate certifications or Azure Administrator Associate (AZ-103) planning to advance their career in DevOps and skills are the ideal candidates for the AZ-400: Microsoft Azure DevOps Solution certification training.

What are the prerequisites for AZ-400 Microsoft Azure Devops Solution training?

You need to have Azure Administrator Associate (AZ-103) or Azure Developer Associate (AZ-203) certification to take on AZ-400 exam. You must have fair knowledge of Azure, version control, core software development principles and Agile software development. Working experience in a software development organization is highly beneficial.

What is the course outline for AZ-400 Microsoft Azure Devops Solution training?
  • 1. Planning for DevOps
  • Transformation Planning
  • Project Selection
  • Team Structures
  • Migrating to Azure DevOps
  • Lab: Agile Planning and Portfolio Management with Azure Boards

    After completing this module, 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 organizational structure
  • Design a tool integration strategy
  • Design a license management strategy (e.g. VSTS users)
  • Design a strategy for end-to-end traceability from work items to working software
  • Design an authentication and access strategy
  • Design a strategy for integrating on-premises and cloud resources
  • 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

    After completing this module, students will be able to:

  • Describe the benefits of using Source Control
  • Describe Azure Repos and GitHub
  • Migrate from TFVC to Git
  • 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

    After completing this module, students will be able to:

  • Explain how to structure Git repos
  • Describe Git branching workflows
  • Leverage pull requests for collaboration and code reviews
  • Leverage Git hooks for automation
  • Use git to foster inner source across the organization
  • 4. Consolidating Artifacts & Designing a Dependency Management Strategy
  • Packaging Dependencies
  • Package Management
  • Migrating and Consolidating Artifacts
  • Lab: Updating Packages

    After completing this module, students will be able to:

  • Recommend artifact management tools and practices
  • Abstract common packages to enable sharing and reuse
  • Migrate and consolidate artifacts
  • Migrate and integrate source control measures
  • 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 PipelinesLab : Integrating External Source Control with Azure Pipelines

    After completing this module, students will be able to:

  • Implement and manage build infrastructure
  • Explain why continuous integration matters
  • Implement continuous integration using Azure DevOps
  • 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

    After completing this module, students will be able to:

  • Manage application config and secrets
  • Implement tools for managing security and compliance in pipeline
  • 7. Managing Code Quality and Security Policies
  • Managing Code Quality
  • Managing Security Policies
  • Lab: Managing Technical Debt with Azure DevOps and SonarCloud

    After completing this module, students will be able to:

  • Manage code quality including: technical debt SonarCloud, and other tooling solutions
  • Manage security policies with open source and OWASP
  • 8. Implementing a Container Build Strategy
  • Implementing a Container Build Strategy
  • Lab: Modernizing Existing ASP.NET Apps with Azure

    After completing this module, students will be able to:

  • Implement a container strategy including how containers are different from virtual machines and how microservices use containers
  • Implement containers using Docker
  • 9. Manage Artifact versioning, security & compliance
  • Package security
  • Open source software
  • Integrating license and vulnerability scans
  • Implement a versioning strategy
  • Lab: Manage Open Source Security and License with WhiteSource

    After completing this module, students will be able to:

  • 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
  • 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
  • After completing this module, students will be able to:

  • 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
  • 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 YAMLLab : Setting up secrets in the pipeline with Azure Key vault Lab : Setting up and Running Functional Tests Lab : Using Azure Monitor as release gateLab : Creating a release Dashboard

    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
  • 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
  • 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

    After completing this module, students will be able to:

  • Describe deployment patterns
  • Implement Blue Green Deployment
  • Implement Canary Release
  • Implement Progressive Exposure Deployment
  • 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

    After completing this module, students will be able to:

  • 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
  • 14. 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

    After completing this module, students will be able to:

  • Apply infrastructure and configuration as code principles
  • Deploy and manage infrastructure using Microsoft automation technologies such as ARM templates, PowerShell, and Azure CLI
  • 15. 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: Deploying a Dockerized Java app to Azure Web App for Containers

    After completing this module, students will be able to:

  • Describe deployment models and services that are available with Azure
  • 16. Create and Manage Kubernetes Service Infrastructure
  • Azure Kubernetes Service
  • Lab: Deploying a multi-container application to Azure Kubernetes Service

    After completing this module, students will be able to:

  • Deploy and configure a Managed Kubernetes cluster
  • 17. Third Party Infrastructure as Code Tools available with Azure
  • Chef
  • Puppet
  • Ansible
  • Terraform
  • Lab: Infrastructure as CodeLab : Automating Your Infrastructure Deployments in the Cloud with Terraform and Azure Pipelines

    After completing this module, students will be able to:

  • Deploy and configure infrastructure using 3rd party tools and services with Azure, such as Chef, Puppet, Ansible, and Terraform
  • 18. 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

    After completing this module, students will be able to:

  • Define an infrastructure and configuration strategy and appropriate toolset for a release pipeline and application infrastructure
  • Implement compliance and security in your application infrastructure
  • 19. 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

    After completing this module, students will be able to:

  • 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
  • 20. 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
  • After completing this module, students will be able to:

  • 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
FAQ's

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.

5 Days | $ 2300
4.3
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1563 Learners

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