Designing and Implementing Microsoft DevOps Solutions (Exam AZ-400)

Learn designing and implementing strategies for collaboration, code, infrastructure, source control, security, compliance, continuous integration, testing, delivery, monitoring, and feedback.

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About this Course

This Azure DevOps training program covers Azure DevOps fundamentals, including Repos, Pipelines, Boards, Artifacts, and Test Plans. Participants learn CI/CD best practices, IaC with ARM templates, and containerization with Docker and Kubernetes. Security practices, monitoring, and integration with external tools are emphasized.

Key Learning Objectives:

Introduction to Azure DevOps
Source Control Management with Azure Repos
Continuous Integration (CI) with Azure Pipelines
Continuous Deployment (CD) with Azure Pipelines
Infrastructure as Code (IaC) with Azure DevOps
Containerization and Orchestration
Application Monitoring and Logging
Security and Compliance in Azure DevOps
Advanced Azure DevOps Features and Integrations

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Course Contents

Course Overview keyboard_arrow_down
- play_circle_outline Watch Video 15m 10s
Module 1: Design and Implement Processes and Communications keyboard_arrow_down
- check_circle Design and Implement Traceability and Flow of Work
- arrow_right_alt Design and implement a structure for the flow of work, including GitHub Flow
- arrow_right_alt Design and implement a strategy for feedback cycles, including notifications and issues
- arrow_right_alt Design and implement integration for tracking work, including GitHub projects, Azure Boards, and repositories
- arrow_right_alt Design and implement source, bug, and quality traceability
- check_circle Design and Implement Appropriate Metrics and Queries for DevOps
- arrow_right_alt Design and implement a dashboard, including flow of work, such as cycle times, time to recovery, and lead time
- arrow_right_alt Design and implement appropriate metrics and queries for project planning
- arrow_right_alt Design and implement appropriate metrics and queries for development
- arrow_right_alt Design and implement appropriate metrics and queries for testing
- arrow_right_alt Design and implement appropriate metrics and queries for security
- arrow_right_alt Design and implement appropriate metrics and queries for delivery
- arrow_right_alt Design and implement appropriate metrics and queries for operations
- check_circle Configure Collaboration and Communication
- arrow_right_alt Document a project by configuring wikis and process diagrams, including Markdown and Mermaid syntax
- arrow_right_alt Configure release documentation, including release notes and API documentation
- arrow_right_alt Automate creation of documentation from Git history
- arrow_right_alt Configure integration by using webhooks
- arrow_right_alt Configure integration between GitHub or Azure DevOps and Microsoft Teams
Module 2: Design and Implement a Source Control Strategy keyboard_arrow_down
- check_circle Design and Implement Branching Strategies for the Source Code
- arrow_right_alt Design a branch strategy, including trunk-based, feature branch, and release branch
- arrow_right_alt Design and implement a pull request workflow by using branch policies and branch protections
- arrow_right_alt Implement branch merging restrictions by using branch policies and branch protections
- check_circle Configure and Manage Repositories
- arrow_right_alt Design and implement a strategy for managing large files, including Git Large File Storage (LFS) and git-fat
- arrow_right_alt Design a strategy for scaling and optimizing a Git repository, including Scalar and cross-repository sharing
- arrow_right_alt Configure permissions in the source control repository
- arrow_right_alt Configure tags to organize the source control repository
- arrow_right_alt Recover specific data by using Git commands
- arrow_right_alt Remove specific data from source control
Module 3: Design and Implement Build and Release Pipelines keyboard_arrow_down
- check_circle Design and Implement a Package Management Strategy
- arrow_right_alt Recommend package management tools including GitHub Packages registry and Azure Artifacts
- arrow_right_alt Design and implement package feeds and views for local and upstream packages
- arrow_right_alt Design and implement a dependency versioning strategy for code assets and packages, including semantic versioning and date-based
- arrow_right_alt Design and implement a versioning strategy for pipeline artifacts
- check_circle Design and Implement a Testing Strategy for Pipelines
- arrow_right_alt Design and implement quality and release gates, including security and governance
- arrow_right_alt Design a comprehensive testing strategy, including local tests, unit tests, integration tests, and load tests
- arrow_right_alt Implement tests in a pipeline, including configuring test tasks, configuring test agents, and integration of test results
- arrow_right_alt Implement code coverage analysis
- check_circle Design and Implement Pipelines
- arrow_right_alt Select a deployment automation solution, including GitHub Actions and Azure Pipelines
- arrow_right_alt Design and implement a GitHub runner or Azure DevOps agent infrastructure, including cost, tool selection, licenses, connectivity, and maintainability
- arrow_right_alt Design and implement integration between GitHub repositories and Azure Pipelines
- arrow_right_alt Develop and implement pipeline trigger rules
- arrow_right_alt Develop pipelines by using YAML
- arrow_right_alt Design and implement a strategy for job execution order, including parallelism and multi-stage pipelines
- arrow_right_alt Develop and implement complex pipeline scenarios, such as hybrid pipelines, VM templates, and self-hosted runners or agents
- arrow_right_alt Create reusable pipeline elements, including YAML templates, task groups, variables, and variable groups
- arrow_right_alt Design and implement checks and approvals by using YAML environments
- check_circle Design and Implement Deployments
- arrow_right_alt Design a deployment strategy, including blue-green, canary, ring, progressive exposure, feature flags, and A/B testing
- arrow_right_alt Design a pipeline to ensure that dependency deployments are reliably ordered
- arrow_right_alt Plan for minimizing downtime during deployments by using virtual IP address (VIP) swap, load balancing, rolling deployments, and deployment slots
- arrow_right_alt Design a hotfix path plan for responding to high-priority code fixes
- arrow_right_alt Design and implement a resiliency strategy for deployment
- arrow_right_alt Implement feature flags by using Azure App Configuration Feature Manager
- arrow_right_alt Implement application deployment by using containers, binaries, and scripts
- arrow_right_alt Implement a deployment that includes database tasks
- check_circle Design and Implement Infrastructure as Code (IaC)
- arrow_right_alt Recommend a configuration management technology for application infrastructure
- arrow_right_alt Implement a configuration management strategy for application infrastructure
- arrow_right_alt Define an IaC strategy, including source control and automation of testing and deployment
- arrow_right_alt Design and implement desired state configuration for environments, including Azure Automation State Configuration, Azure Resource Manager, Bicep, and Azure Automanage Machine Configuration
- arrow_right_alt Design and implement Azure Deployment Environments for on-demand self-deployment
- check_circle Maintain pipelines
- arrow_right_alt Monitor pipeline health, including failure rate, duration, and flaky tests
- arrow_right_alt Optimize a pipeline for cost, time, performance, and reliability
- arrow_right_alt Optimize pipeline concurrency for performance and cost
- arrow_right_alt Design and implement a retention strategy for pipeline artifacts and dependencies
- arrow_right_alt Migrate a pipeline from classic to YAML in Azure Pipelines
Module 4: Develop a Security and Compliance Plan keyboard_arrow_down
- check_circle Design and Implement Authentication and Authorization Methods
- arrow_right_alt Choose between Service Principals and Managed Identity
- arrow_right_alt Implement and manage GitHub authentication, including GitHub Apps, GITHUB_TOKEN, and personal access tokens
- arrow_right_alt Implement and manage Azure DevOps service connections and personal access tokens
- arrow_right_alt Design and implement permissions and roles in GitHub
- arrow_right_alt Design and implement permissions and security groups in Azure DevOps
- arrow_right_alt Recommend appropriate access levels, including stakeholder access in Azure DevOps and outside collaborator access in GitHub
- arrow_right_alt Configure projects and teams in Azure DevOps
- check_circle Design and Implement a Strategy for Managing Sensitive Information in Automation
- arrow_right_alt Implement and manage secrets, keys, and certificates by using Azure Key Vault
- arrow_right_alt Implement and manage secrets in GitHub Actions and Azure Pipelines
- arrow_right_alt Design and implement a strategy for managing sensitive files during deployment, including Azure Pipelines secure files
- arrow_right_alt Design pipelines to prevent leakage of sensitive information
- check_circle Automate Security and Compliance Scanning
- arrow_right_alt Design a strategy for security and compliance scanning, including dependency, code, secret, and licensing scanning
- arrow_right_alt Configure Microsoft Defender for Cloud DevOps Security
- arrow_right_alt Configure GitHub Advanced Security for both GitHub and Azure DevOps
- arrow_right_alt Integrate GitHub Advanced Security with Microsoft Defender for Cloud
- arrow_right_alt Automate container scanning, including scanning container images and configuring an action to run CodeQL analysis in a container
- arrow_right_alt Automate analysis of licensing, vulnerabilities, and versioning of open-source components by using Dependabot alerts
Module 5: Implement an Instrumentation Strategy keyboard_arrow_down
- check_circle Configure Monitoring for a DevOps Environment
- arrow_right_alt Configure Azure Monitor and Log Analytics to integrate with DevOps tools
- arrow_right_alt Configure collection of telemetry by using Application Insights, VM Insights, Container Insights, Storage Insights, and Network Insights
- arrow_right_alt Configure monitoring in GitHub, including enabling insights and creating and configuring charts
- arrow_right_alt Configure alerts for events in GitHub Actions and Azure Pipelines
- check_circle Analyze Metrics From Instrumentation
- arrow_right_alt Inspect infrastructure performance indicators, including CPU, memory, disk, and network
- arrow_right_alt Analyze metrics by using collected telemetry, including usage and application performance
- arrow_right_alt Inspect distributed tracing by using Application Insights
- arrow_right_alt Interrogate logs using basic Kusto Query Language (KQL) queries

Azure DevOps Career Scope

This Azure DevOps course typically provides comprehensive training on using Microsoft's Azure DevOps platform to implement DevOps practices effectively.

Azure DevOps Tools and Technologies Covered

Student Feedback

The Azure Administrator training was an invaluable experience for me. The course content was comprehensive, covering everything from basic concepts to advanced techniques in managing Azure environments. The hands-on labs were particularly helpful, allowing me to apply what I learned in real-world scenarios.

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I recently completed the Azure Administrator training, and I must say it exceeded my expectations. The instructor did an excellent job of breaking down complex concepts into digestible chunks, making it easier to grasp. The practical exercises were incredibly beneficial in reinforcing theoretical knowledge and building practical skills.

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The Azure Administrator training provided me with a solid foundation in Azure services and administration techniques. The curriculum was well-structured, covering all the essential topics in depth. The hands-on labs were instrumental in helping me gain practical experience and confidence in managing Azure resources.

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Taking the Azure Administrator training was an incredible experience. The course content was well-structured, and the hands-on labs really helped solidify my understanding of Azure services. The instructor was knowledgeable and approachable, always ready to answer our questions and provide guidance.

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