Azure DevOps AZ-400.

30 Days Online Training.

After Training we will provide 350 Probable Questions and Answers.

DevOps engineers must have experience with administering and developing in

Azure, with strong skills in at least one of these areas. They should be familiar with

both Azure DevOps and GitHub.

• Configure processes and communications (10–15%)
• Design and implement source control (15–20%)
• Design and implement build and release pipelines (40–45%)
• Develop a security and compliance plan (10–15%)
• Implement an instrumentation strategy (10–15%)

Configure processes and communications (10–15%)

Configure activity traceability and flow of work

• Plan and implement a structure for the flow of work and feedback cycles
• Identify appropriate metrics related to flow of work, such as cycle times,

time to recovery, and lead time

• Integrate Azure Pipelines and GitHub Actions with work item tracking

tools

• Implement traceability policies decided by development
• Integrate a repository with Azure Boards

Configure collaboration and communication

• Communicate actionable information by using custom dashboards in

Azure Boards

• Document a project by using tools, such as wikis and process diagrams
• Configure release documentation, including release notes and API

documentation

• Automate creation of documentation from Git history
• Configure notifications by using webhooks

Design and implement source control (15–20%)

Design and implement a source control strategy

• Design and implement an authentication strategy
• Design a strategy for managing large files, including Git LFS and git-fat
• Design a strategy for scaling and optimizing a Git repository, including

Scalar and cross-repository sharing

• Implement workflow hooks

Plan 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

Configure and manage repositories

• Integrate GitHub repositories with Azure Pipelines
• Configure permissions in the source control repository
• Configure tags to organize the source control repository
• Recover data by using Git commands
• Purge data from source control

Design and implement build and release pipelines (40–45%)

Design and implement pipeline automation

• Integrate pipelines with external tools, including dependency scanning,

security scanning, and code coverage

• Design and implement quality and release gates, including security and

governance

• Design integration of automated tests into pipelines
• Design and implement a comprehensive testing strategy (including local

tests, unit tests, integration tests, and load tests)

• Design and implement UI testing
• Implement orchestration of tools, such as GitHub Actions and Azure

Pipelines

Design and implement a package management strategy

• Design a package management implementation that uses Azure

Artifacts, GitHub Packages, NuGet, and npm

• Design and implement package feeds, including upstream sources
• Design and implement a dependency versioning strategy for code

assets and packages, including semantic versioning and date-based

* Design and implement a versioning strategy for pipeline artifacts

Design and implement pipelines

* Select a deployment automation solution, including GitHub Actions and

Azure Pipelines

* Design and implement an agent infrastructure, including cost, tool

selection, licenses, connectivity, and maintainability

* Develop and implement pipeline trigger rules

* Develop pipelines, including classic and YAML

Design and implement a strategy for job execution order, including parallelism

and multi-stage

* Develop complex pipeline scenarios, such as containerized agents and

hybrid

* Configure and manage self-hosted agents, including virtual machine

(VM) templates and containerization

* Create reusable pipeline elements, including YAML templates, task

groups, variables, and variable groups

* Design and implement checks and approvals by using YAML

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 reliable order of dependency deployments

* Plan for minimizing downtime during deployments by using VIP swap,

load balancer, and rolling deployments

* Design a hotfix path plan for responding to high-priority code fixes

* Implement load balancing for deployment, including Azure Traffic

Manager and the Web Apps feature of Azure App Service

* Implement feature flags by using Azure App Configuration Feature

Manager

* Implement application deployment by using containers, binary, and

scripts

Design and implement infrastructure as code (IaC)

* Recommend a configuration management technology for application

infrastructure

* Implement a configuration management strategy for application

infrastructure, including IaC

* 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

Maintain pipelines

• Monitor pipeline health, including failure rate, duration, and flaky tests
• Optimize pipelines for cost, time, performance, and reliability
• Analyze pipeline load to determine agent configuration and capacity
• Design and implement a retention strategy for pipeline artifacts and

dependencies

Develop a security and compliance plan (10–15%)

Design and implement a strategy for managing sensitive information in

automation

• Implement and manage service connections
• Implement and manage personal access tokens
• Implement and manage secrets, keys, and certificates by using Azure

Key Vault, GitHub secrets, and Azure Pipelines secrets

* Design and implement a strategy for managing sensitive files during

deployment

* Design pipelines to prevent leakage of sensitive information

Automate security and compliance scanning

* Automate analysis of source code by using GitHub code scanning,

GitHub secrets scanning, pipeline-based scans, and SonarQube

* Automate security scanning, including container scanning and OWASP

ZAP

* Automate analysis of licensing, vulnerabilities, and versioning of

open-source components by using Mend Bolt and GitHub Dependency

Scanning

Implement an instrumentation strategy (10–15%)

Configure monitoring for a DevOps environment

* Configure and integrate monitoring by using Azure Monitor

* Configure and integrate with monitoring tools, such as Azure Monitor

and Application Insights

* Manage access control to the monitoring platform

* Configure alerts for pipeline events

Analyze metrics

* Inspect distributed tracing by using Application Insights

* Inspect application performance indicators

* Inspect infrastructure performance indicators, including CPU, memory,

disk, and network

* Identify and monitor metrics for business value

* Analyze usage metrics by using Application Insights

* Interrogate logs using basic Kusto Query Language (KQL) queries