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Microsoft Azure DevOps Engineer Expert (AZ-400) Cert Prep: 4 Design and Implement Build and Release Pipelines

Microsoft Azure DevOps Engineer Expert (AZ-400) Cert Prep: 4 Design and Implement Build and Release Pipelines

3h 4mAdvanced2023-03-21

Authors

Microsoft Press

Microsoft Press

Microsoft

Paul Furlan

Paul Furlan

DevOps engineer focused on version control systems and CI/CD pipelines

Course details

Get ready to take your skills to the next level and tackle the fourth domain of the Azure DevOps Engineer Expert (AZ-400) certification exam: Design and Implement Build and Release Pipelines. Join the experts from Microsoft Press for an overview of how to develop, implement and manage build pipelines and some external tools you can use to facilitate your processes. Learn how to set up build agents and create both classic Azure Pipelines and YAML pipelines. Explore package management, containers, and ways to maintain your code quality and security. Plus, learn how to integrate external tools, optimize your builds, and monitor and analyze your pipelines. By the end of this course, you’ll be ready to tackle the fourth domain of the official exam.

Skills covered

GitHubDevOps ToolsDevOps FoundationsDevOpsAzureCloud ServicesCert PrepCloud ComputingMicrosoft

Concepts

1. Lesson 4 - Define and Implement Continuous Integration

  • 01 - Learning objectives
  • 02 - Develop build pipelines
  • 03 - Lab A - Set up build agents
  • 04 - Lab B - Create classic Azure Pipelines
  • 05 - Lab C - Create YAML pipelines
  • 06 - Learn about package management
  • 07 - Lab D - Create packages
  • 08 - Lab E - Set up feeds
  • 09 - Learn about containers
  • 10 - Lab F - Build a container image
  • 11 - Lab G - Run and push container images
  • 12 - Learn about code quality and security
  • 13 - Lab H - Implement code quality
  • 14 - Lab I - Implement DevSecOps

2. Lesson 5 - Optimize Build Pipelines

  • 15 - Learning objectives
  • 16 - Integrate external tools
  • 17 - Lab A - Integrate Azure Pipelines with GitHub
  • 18 - Optimize build
  • 19 - Lab B - Optimize pipeline performance
  • 20 - Lab C - Multi-stage docker builds
  • 21 - Learn about pipeline monitoring and analytics
  • 22 - Lab D - Review pipeline monitoring and analytics

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