Module 1: Design and implement traceability and flow of work

• Design and implement a structure for the flow of work, including GitHub Flow
• Design and implement a strategy for feedback cycles, including notifications and GitHub issues
• Design and implement integration for tracking work, including GitHub projects, Azure Boards, and repositories
• Design and implement source, bug, and quality traceability

Module 2: Design and implement appropriate metrics and queries for DevOps

• Design and implement a dashboard, including flow of work, such as cycle times, time to recovery, and lead time
• Design and implement appropriate metrics and queries for project planning
• Design and implement appropriate metrics and queries for development
• Design and implement appropriate metrics and queries for testing
• Design and implement appropriate metrics and queries for security
• Design and implement appropriate metrics and queries for delivery
• Design and implement appropriate metrics and queries for operations

Module 3: Configure collaboration and communication

• Document a project by configuring wikis and process diagrams, including Markdown and Mermaid syntax
• Configure release documentation, including release notes and API documentation
• Automate creation of documentation from Git history
• Configure integration by using webhooks
• Configure integration between Azure Boards and GitHub repositories
• Configure integration between GitHub or Azure DevOps and Microsoft Teams

Module 4: Design and implement branching strategies for the source code

• Design a branch strategy, including trunk-based, feature branch, and release branch
• Design and implement a pull request workflow by using branch policies and branch protections
• Implement branch merging restrictions by using branch policies and branch protections

Module 5: Configure and manage repositories

• Design and implement a strategy for managing large files, including Git Large File Storage (LFS) and git-fat
• Design a strategy for scaling and optimizing a Git repository, including Scalar and cross-repository sharing
• Configure permissions in the source control repository
• Configure tags to organize the source control repository
• Recover specific data by using Git commands
• Remove specific data from source control

Module 6: Design and implement a package management strategy

• Recommend package management tools including GitHub Packages registry and Azure Artifacts
• Design and implement package feeds and views for local and upstream packages
• Design and implement a dependency versioning strategy for code assets and packages, including semantic versioning (SemVer) and date-based (CalVer)
• Design and implement a versioning strategy for pipeline artifacts

Module 7: Design and implement a testing strategy for pipelines

• Design and implement quality and release gates, including security and governance
• Design a comprehensive testing strategy, including local tests, unit tests, integration tests, and load tests
• Implement tests in a pipeline, including configuring test tasks, configuring test agents, and integration of test results
• Implement code coverage analysis

Module 8: Design and implement pipelines

• Select a deployment automation solution, including GitHub Actions and Azure Pipelines
• Design and implement a GitHub runner or Azure DevOps agent infrastructure, including cost, tool selection, licenses, connectivity, and maintainability
• Design and implement integration between GitHub repositories and Azure Pipelines
• Develop and implement pipeline trigger rules
• Develop pipelines by using YAML
• Design and implement a strategy for job execution order, including parallelism and multi-stage pipelines
• Develop and implement complex pipeline scenarios, such as hybrid pipelines, VM templates, and self-hosted runners or agents
• Create reusable pipeline elements, including YAML templates, task groups, variables, and variable groups
• Design and implement checks and approvals by using YAML-based environments

Module 9: Design and implement deployments

• Design a deployment strategy, including blue-green, canary, ring, progressive exposure, feature flags, and A/B testing
• Design a pipeline to ensure that dependency deployments are reliably ordered
• Plan for minimizing downtime during deployments by using virtual IP address (VIP) swap, load balancing, rolling deployments, and deployment slot usage and swap
• Design a hotfix path plan for responding to high-priority code fixes
• Design and implement a resiliency strategy for deployment
• Implement feature flags by using Azure App Configuration Feature Manager
• Implement application deployment by using containers, binaries, and scripts
• Implement a deployment that includes database tasks

Module 10: Design and implement infrastructure as code (IaC)

• Recommend a configuration management technology for application infrastructure
• Implement a configuration management strategy for application infrastructure
• Define an IaC strategy, including source control and automation of testing and deployment
• Design and implement desired state configuration for environments, including Azure Automation State Configuration, Azure Resource Manager, Bicep, and Azure Automanage Machine Configuration
• Design and implement Azure Deployment Environments for on-demand self-deployment

Module 11: Maintain pipelines

• Monitor pipeline health, including failure rate, duration, and flaky tests
• Optimize a pipeline for cost, time, performance, and reliability
• Optimize pipeline concurrency for performance and cost
• Design and implement a retention strategy for pipeline artifacts and dependencies
• Migrate a pipeline from classic to YAML in Azure Pipelines

Module 12: Design and implement authentication and authorization methods

• Choose between Service Principals and Managed Identity (including system-assigned and user-assigned)
• Implement and manage GitHub authentication, including GitHub Apps, GITHUB_TOKEN, and personal access tokens
• Implement and manage Azure DevOps service connections and personal access tokens
• Design and implement permissions and roles in GitHub
• Design and implement permissions and security groups in Azure DevOps
• Recommend appropriate access levels, including stakeholder access in Azure DevOps and outside collaborator access in GitHub
• Configure projects and teams in Azure DevOps

Module 13: Design and implement a strategy for managing sensitive information in automation

• Implement and manage secrets, keys, and certificates by using Azure Key Vault
• Implement and manage secrets in GitHub Actions and Azure Pipelines
• Design and implement a strategy for managing sensitive files during deployment, including Azure Pipelines secure files
• Design pipelines to prevent leakage of sensitive information

Module 14: Automate security and compliance scanning

• Design a strategy for security and compliance scanning, including dependency, code, secret, and licensing scanning
• Configure Microsoft Defender for Cloud DevOps Security
• Configure GitHub Advanced Security for both GitHub and Azure DevOps
• Integrate GitHub Advanced Security with Microsoft Defender for Cloud
• Automate container scanning, including scanning container images and configuring an action to run CodeQL analysis in a container
• Automate analysis of licensing, vulnerabilities, and versioning of open-source components by using Dependabot alerts

Module 15: Configure monitoring for a DevOps environment

• Configure Azure Monitor and Log Analytics to integrate with DevOps tools
• Configure collection of telemetry by using Application Insights, VM Insights, Container Insights, Storage Insights, and Network Insights
• Configure monitoring in GitHub, including enabling insights and creating and configuring charts
• Configure alerts for events in GitHub Actions and Azure Pipelines

Module 16: Analyze metrics from instrumentation

• Inspect infrastructure performance indicators, including CPU, memory, disk, and network
• Analyze metrics by using collected telemetry, including usage and application performance
• Inspect distributed tracing by using Application Insights
• Interrogate logs using basic Kusto Query Language (KQL) queries