AZ– 400 Azure DevOps Engineer Expert

Design and implement appropriate metrics and queries for DevOps
Configure collaboration and communication
Design and implement branching strategies for the source code
Configure and manage repositories
Design and implement a package management strategy
Design and implement a testing strategy for pipelines
Design and implement pipelines
Design and implement deployments
Design and implement infrastructure as code (IaC)
Maintain pipelines
Design and implement authentication and authorization methods
Design and implement a strategy for managing sensitive information in automation
Automate security and compliance scanning
Configure monitoring for a DevOps environment
Analyze metrics from instrumentation

Requirements

Basic IT Knowledge
Willingness to learn cool stuff!

Description

This course contains the use of artificial intelligence.
AZ-400: Azure DevOps Engineer Expert, is a meticulously structured Udemy course aimed at IT professionals seeking to pass the AZ-400 exam. This course systematically walks you through the initial setup to advanced implementation with real-world applications.
By passing AZ-400: Azure DevOps Engineer Expert, you're gaining proficiency in the highly recognized Microsoft DevOps ecosystem.
The course is always aligned with Microsoft's latest study guide and exam objectives
- Design and implement processes and communications (10–15%)
- Design and implement a source control strategy (10–15%)
- Design and implement build and release pipelines (50–55%)
- Develop a security and compliance plan (10–15%)
- Implement an instrumentation strategy (5–10%)
Design and implement processes and communications (10–15%)
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
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
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
Design and implement a source control strategy (10–15%)
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 protection rules
- Implement branch merging restrictions by using branch policies and branch protection rules
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
Design and implement build and release pipelines (50–55%)
Design and implement a package management strategy
- Recommend package management tools including GitHub Packages 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
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
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
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 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
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 Machine Configuration
- Design and implement Azure Deployment Environments for on-demand self-deployment
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
Develop a security and compliance plan (10–15%)
Design and implement authentication and authorization methods
- Choose between Microsoft Entra service principals and managed identities for Azure resources (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
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 and secretless authentication (for example, workload identity federation/OpenID Connect) 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
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
Implement an instrumentation strategy (5–10%)
Configure monitoring for a DevOps environment
- Configure Azure Monitor and Azure Monitor Logs to integrate with DevOps tools
- Configure collection of telemetry by using Application Insights, VM Insights, Container Insights, Azure Monitor for Storage, and Azure Monitor for Networks
- Configure monitoring in GitHub, including enabling insights and creating and configuring charts
- Configure alerts for events in GitHub Actions and Azure Pipelines
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
This course contains promotional materials.

Who this course is for

Developer
Cloud Engineer
IT Administrator
Identity Architect
Cloud Architect
Security Engineer
DevOps Engineer

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