AZ-400: Microsoft Azure DevOps Solutions

Prepare for the AZ-400: Microsoft Azure DevOps Solutions examinations to earn the Microsoft Certified: Azure DevOps Engineer Expert certification

Course Code : 5016

Overview

This course helps participants prepare for the AZ-400: Microsoft Azure DevOps Solutions examination, which is a requirement for earning the Microsoft Certified: Azure DevOps Engineer Expert certification. The course covers the skills essential for preparing for the AZ-400 exam, including, designing a DevOps strategy, implementing DevOps development processes, implementing continuous integration and continuous delivery, implementing dependency management, implementing application infrastructure, and implementing continuous feedback.

Schedule Classes

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 5 days

Live Virtual Classroom
Duration: 5 days

What You'll learn

  • Designing secure development processes
  • Designing tool integration strategies
  • Designing version control strategies
  • Implementing and integrating source control
  • Implementing and managing build infrastructure
  • Implementing code flow
  • Implementing mobile DevOps strategy
  • Managing code quality and security policies
  • Implementing container build strategies
  • Designing a release strategy
  • Designing dependency management strategies
  • Managing security and compliance
  • Implementing infrastructure as code
  • Managing Azure Kubernetes Service infrastructure
  • Optimizing feedback mechanisms

Outline

  • Analyze existing artifact (e.g. deployment packages, NuGet) and container repositories
  • Analyze existing test management tools
  • Analyze existing work management tools
  • Recommend migration and integration strategies for artifact repositories, source control, test management, and work management
  • Identify and recommend project metrics, KPIs, and DevOps measurements (e.g. cycle time, lead time, Azure Kubernetes Service, WIP limit)
  • Implement tools and processes to support Agile work management
  • Mentor team members on Agile techniques and practices
  • Recommend an organization structure that supports scaling Agile practices
  • Recommend in-team and cross-team collaboration mechanisms
  • 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 to optimize quality
  • Recommend performance testing strategy
  • Inspect and validate code base for compliance
  • Inspect and validate infrastructure for compliance
  • Recommend a secure development strategy
  • Recommend tools and practices to integrate code security validation (e.g. static code analysis)
  • Recommend tools and practices to integrate infrastructure security validation
  • Design a license management strategy (e.g. VSTS users, concurrent pipelines, test environments, open source software licensing, DevOps tools and services, package management licensing)
  • Design a strategy for end-to-end traceability from work items to working software
  • Design a strategy for integrating monitoring and feedback to development teams
  • Design an authentication and access strategy
  • Design a strategy for integrating on-premises and cloud resources
  • Recommend branching models
  • Recommend version control systems
  • Recommend code flow strategy
  • Integrate external source control
  • Integrate source control into third-party continuous integration and continuous deployment (CI/CD) systems
  • Implement private and hosted agents
  • Integrate third party build systems
  • Recommend strategy for concurrent pipelines
  • Manage Azure pipeline configuration (e.g. agent queues, service endpoints, pools, webhooks)
  • Implement pull request strategies
  • Implement branch and fork strategies
  • Configure branch policies
  • 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
  • Implement a secure and compliant development process
  • Implement general (non-secret) configuration data
  • Manage secrets, tokens, and certificates
  • Implement applications configurations (e.g. Web App, Azure Kubernetes Service, containers)
  • Implement secrets management (e.g. Web App, Azure Kubernetes Service, containers, Azure Key Vault)
  • Implement tools for managing security and compliance in the pipeline
  • Monitor code quality
  • Configure build to report on code coverage
  • Manage automated test quality
  • Manage test suites and categories
  • Monitor quality of tests
  • Integrate security analysis tools (e.g. SonarQube, WhiteSource Bolt, Open Web Application Security Project)
  • Create deployable images (e.g. Docker, Azure Container Registry)
  • Analyze and integrate Docker multi-stage builds
  • Design build triggers, tools, integrations, and workflow
  • Implement a hybrid build process
  • Implement multi-agent builds
  • Recommend build tools and configuration (e.g. Azure Pipelines, Jenkins)
  • Set up an automated build workflow
  • Recommend release tools
  • Identify and recommend release approvals and gates
  • Recommend strategy for measuring quality of release and release process
  • Recommend strategy for release notes and documentation
  • Select appropriate deployment pattern
  • Automate inspection of health signals for release approvals by using release gates
  • Configure automated integration and functional test execution
  • Create a release pipeline (e.g. Azure Kubernetes Service, Service Fabric, WebApp)
  • Create multi-phase release pipelines
  • Integrate secrets with release pipeline
  • Provision and configure environments
  • Manage and modularize tasks and templates (e.g. task and variable groups)
  • Implement blue-green deployments
  • Implement canary deployments
  • Implement progressive exposure deployments
  • Scale a release pipeline to deploy to multiple endpoints (e.g. deployment groups, Azure Kubernetes Service, Service Fabric)
  • Recommend artifact management tools and practices (Azure Artifacts, npm, maven, Nuget)
  • Abstract common packages to enable sharing and reuse
  • 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
  • Inspect open source software packages for security and license compliance to align with corporate standards (e.g. GPLv3)
  • Configure build pipeline to access package security and license rating (e.g. Black Duck, White Source)
  • Configure secure access to package feeds
  • Analyze existing and future hosting infrastructure
  • Analyze existing Infrastructure as Code (IaC) technologies
  • Design a strategy for managing technical debt on templates
  • Design a strategy for using transient infrastructure for parts of a delivery lifecycle
  • Design a strategy to mitigate infrastructure state drift
  • Create nested resource templates
  • Manage secrets in resource templates
  • Provision Azure resources
  • Recommend an Infrastructure as Code (IaC) strategy
  • Recommend appropriate technologies for configuration management (ARM Templates, Terraform, Chef, Puppet, Ansible)
  • Provision Azure Kubernetes Service (e.g. using ARM templates, CLI)
  • Create deployment file for publishing to Azure Kubernetes Service (e.g. kubectl, Helm)
  • Develop a scaling plan
  • Implement compliance and security scanning
  • Prevent drift by using configuration management tools
  • Automate configuration management by using PowerShell Desired State Configuration (DSC)
  • Automate configuration management by using a VM Agent with custom script extensions
  • Set up an automated pipeline to inspect security and compliance
  • Design practices to measure end-user satisfaction (e.g. Send a Smile, app analytics)
  • Design processes to capture and analyze user feedback from external sources (e.g. Twitter, Reddit, Help Desk)
  • Design routing for client application crash report data (e.g. HockeyApp)
  • 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 (e.g. HockeyApp)
  • Implement tools to track system usage, feature usage, and flow
  • Integrate and configure ticketing systems with development team’s work management system (e.g. IT Service Management connector, ServiceNow Cloud Management, App Insights work items)
  • 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
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Prerequisites

Participants for this course need to be proficient with Agile practices. They need to be familiar with both Azure administration and Azure development, and be an expert in at least one of these areas.

Who Should Attend

The course is highly recommended for –

  • Cloud developers and architects
  • DevOps developers and engineers
  • Software developers
  • Software engineers
  • Application developers

Interested in this course? Let’s connect!

Certification

This course helps participants prepare for the AZ-400: Microsoft Azure DevOps Solutions examination. Upon clearing this examination, participants earn the Microsoft Certified: Azure DevOps Engineer Expert certification. This certification speaks for the participant’s skills in combining people, processes and technologies to continuously deliver valuable products and services that meet end user needs and business objectives.

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