100+ Azure DevOps Interview Questions and Answers [Updated 2025]

Azure DevOps Fundamentals

1. What is Azure DevOps, and how does it support CI/CD?

Azure DevOps is a suite of tools for CI/CD, version control, and agile planning, integrating with platforms like AWS. A team used it for .NET builds, ensuring automation. Services are configured, tested in staging environments, and monitored for reliability in collaborative DevOps setups for seamless software delivery.

2. Why choose Azure DevOps for pipeline automation?

• Integrates with Azure services for deployments.
• Supports YAML and classic pipelines.
• Enables agile workflows with Boards.
• Scales for enterprise teams.
• Monitored for pipeline consistency.

A team automated a Python pipeline, improving speed. Staging validated configurations for robust DevOps workflows.

3. When do you use Azure DevOps services?

Use Azure DevOps for CI/CD, agile planning, or repository management. A team managed a Java project, ensuring collaboration. Services are configured, tested in staging for reliability, and monitored to maintain consistent workflows in high-traffic DevOps environments for professionals.

4. Where are Azure DevOps projects hosted?

• Hosted in Azure DevOps cloud or on-premises.
• Accessible via organization URLs.
• Versioned with Git or TFVC.
• Tested in staging for accessibility.
• Monitored via observability practices.

A team hosted microservices projects, ensuring scalability. Staging validated access in DevOps setups.

5. Who uses Azure DevOps in a software team?

Developers, DevOps engineers, and project managers use Azure DevOps for automation and planning. A team collaborated on a .NET app, streamlining workflows. Tools are configured, tested in staging, and monitored to maintain reliable CI/CD in collaborative DevOps environments.

6. Which components make up Azure DevOps?

• Pipelines: For CI/CD automation.
• Repos: Git or TFVC version control.
• Boards: Agile task tracking.
• Test Plans: For testing workflows.
• Monitored for component reliability.

A team used Repos and Pipelines for Node.js, ensuring integration. This supports robust DevOps workflows.

7. How do you create an Azure DevOps project?

• Navigate to Azure DevOps portal.
• Create project with Git or TFVC.
• Configure team settings and permissions.
• Tested in staging for setup accuracy.
• Monitored via RHCSA automation.

A team set up a Go project, ensuring collaboration. Staging validated project creation in DevOps workflows.

8. What is the purpose of Azure Repos?

Azure Repos provides Git or TFVC for version control, supporting collaboration. A team managed a Python repo, ensuring traceability. Repositories are versioned, tested in staging for reliability, and monitored to maintain consistent CI/CD in DevOps environments.

9. Why integrate Azure DevOps with Azure cloud?

• Streamline deployments to Azure services.
• Enable scalable CI/CD pipelines.
• Support hybrid cloud environments.
• Versioned for traceability.
• Monitored for integration reliability.

A team deployed to Azure Kubernetes Service, improving scalability. Staging validated integrations in DevOps workflows.

10. When do you use Azure Boards?

Use Azure Boards for sprint planning and task tracking. A team tracked UI tasks, ensuring progress. Boards are configured, tested in staging for accuracy, and monitored to maintain consistent agile workflows in high-traffic DevOps environments for professionals.

Boards enhance team coordination. Monitoring ensures task alignment in complex projects.

11. Where do you configure Azure DevOps permissions?

• Set in Project Settings > Permissions.
• Assign roles: Contributor, Reader.
• Restrict pipeline or repo access.
• Tested in staging for security.
• Monitored for permission compliance.

A team restricted repo access, ensuring security. Staging validated permissions in DevOps workflows.

12. Who manages Azure DevOps organizations?

Organization owners and project admins manage settings and permissions. A team configured a .NET organization, ensuring governance. Settings are versioned, tested in staging, and monitored to maintain reliable CI/CD in collaborative DevOps environments.

13. Which tool validates Azure pipeline YAML?

• Use az pipelines yaml-validate command.
• Check syntax in Azure DevOps UI.
• Ensure pipeline integrity before runs.
• Tested in staging for accuracy.
• Monitored via Linux tools.

A team validated YAML for builds, preventing errors. This supports robust DevOps automation.

14. How do you set up a service connection?

• Go to Project Settings > Service connections.
• Create connection for Azure or AWS.
• Secure with credentials or tokens.
• Tested in staging for reliability.
• Monitored for connection stability.

A team connected to AKS, ensuring deployments. Staging validated connections in DevOps workflows.

15. What is the role of Azure Artifacts?

Azure Artifacts manages packages like NuGet or npm. A team stored .NET packages, enabling reuse. Artifacts are versioned, tested in staging for accessibility, and monitored to maintain consistent delivery in collaborative DevOps environments.

16. Why use Azure Test Plans?

• Plan and track manual tests.
• Integrate with CI/CD pipelines.
• Ensure application quality.
• Versioned for traceability.
• Monitored for test reliability.

A team tested a web app, improving coverage. Staging validated plans in DevOps workflows.

17. When do you use Azure DevOps for analytics?

Use Azure DevOps Analytics for sprint and pipeline insights. A team analyzed build times, ensuring efficiency. Analytics are configured, tested in staging for accuracy, and monitored to maintain consistent workflows in high-traffic DevOps environments.

18. Where do you view pipeline run history?

• View in Pipelines > Builds tab.
• Check logs for step details.
• Export for audit purposes.
• Tested in staging for accuracy.
• Monitored for history integrity.

A team reviewed logs to debug failures, ensuring reliability. Staging validated history in DevOps workflows.

Pipelines and CI/CD

19. How do you configure a YAML pipeline?

• Create azure-pipelines.yml in repo root.
• Define trigger: pr or main.
• Add steps: build, test, deploy.
• Tested in staging for reliability.
• Monitored via CI/CD metrics.

A team configured a .NET pipeline, ensuring automation. Staging validated YAML in DevOps workflows.

20. What is an Azure pipeline?

An Azure pipeline automates CI/CD tasks like builds and deployments. A team automated Python deployments, ensuring scalability. Pipelines are configured, tested in staging for reliability, and monitored to maintain consistent workflows in collaborative DevOps environments.

21. Why use YAML over classic pipelines?

• Version pipelines with Git.
• Enable reusable templates.
• Support complex workflows.
• Versioned for traceability.
• Monitored for YAML consistency.

A team migrated to YAML, improving maintainability. Staging validated templates in DevOps workflows.

22. When do you trigger pipelines manually?

Trigger pipelines manually for hotfixes or validations using az pipelines run. A team ran manual deploys, ensuring flexibility. Triggers are configured, tested in staging for reliability, and monitored to maintain consistent CI/CD in DevOps environments.

Manual triggers enhance control. Monitoring ensures execution accuracy in complex pipelines.

23. Where do you define pipeline variables?

• Define in azure-pipelines.yml: variables.
• Store secrets in Variable groups.
• Access via $(variableName).
• Tested in staging for accuracy.
• Monitored for variable reliability.

A team set API keys, ensuring flexibility. Staging validated variables in DevOps workflows.

24. Who designs Azure DevOps pipelines?

DevOps engineers and architects design pipelines for scalability. A team built a multi-stage pipeline, ensuring coordination. Pipelines are configured, tested in staging, and monitored to maintain reliable CI/CD in high-traffic DevOps environments for professionals.

25. Which task builds .NET applications?

• Use DotNetCoreCLI@2 task.
• Run dotnet build for compilation.
• Publish artifacts for deployment.
• Tested in staging for accuracy.
• Monitored for build reliability.

A team built a .NET app, ensuring quality. This supports robust automation in DevOps workflows.

26. How do you handle pipeline dependencies?

• Use dependsOn: [jobName] in YAML.
• Define stages for sequential execution.
• Monitor dependency transitions.
• Tested in staging for reliability.
• Monitored for dependency consistency.

A team ordered test and deploy stages, ensuring flow. Staging validated dependencies in DevOps pipelines.

27. What is the purpose of pipeline templates?

Templates modularize YAML pipelines for reuse across projects. A team reused a test template, reducing duplication. Templates are versioned, tested in staging for reliability, and monitored to maintain consistent CI/CD in DevOps environments for professionals.

28. Why use multi-stage pipelines?

• Split workflows: build, test, deploy.
• Enable staged rollouts.
• Improve pipeline clarity.
• Versioned for traceability.
• Monitored via GitOps practices.

A team staged a Java pipeline, ensuring scalability. Staging validated stages in DevOps workflows.

29. When do you use pipeline approvals?

Use approvals for production deployments to ensure validation. A team enforced approvals for AKS deploys, ensuring safety. Approvals are configured, tested in staging for reliability, and monitored to maintain consistent CI/CD in DevOps environments.

30. Where do you store pipeline artifacts?

• Use PublishBuildArtifacts@1 task.
• Store in Azure Artifacts or Blob Storage.
• Versioned for traceability.
• Tested in staging for accessibility.
• Monitored for artifact reliability.

A team stored Docker images, enabling reuse. Staging validated artifacts in DevOps workflows.

31. Who debugs pipeline failures?

DevOps engineers debug failures using pipeline logs. A team fixed a test failure, ensuring reliability. Logs are versioned, tested in staging for accuracy, and monitored to maintain consistent CI/CD in high-traffic DevOps environments for professionals.

32. Which task deploys to Azure App Service?

• Use AzureWebApp@1 task.
• Configure with service connection.
• Deploy package: app.zip.
• Tested in staging for accuracy.
• Monitored for deployment reliability.

A team deployed a Node.js app, ensuring scalability. This supports robust automation in DevOps workflows.

33. How do you optimize pipeline performance?

• Cache dependencies: Cache@2 task.
• Parallelize jobs for speed.
• Use agent pools efficiently.
• Tested in staging for efficiency.
• Monitored for performance gains.

A team optimized a Python pipeline, reducing runtime. Staging ensured efficiency in DevOps workflows.

34. What causes pipeline delays?

Delays arise from uncached dependencies or sequential jobs. A team cached npm packages, improving speed. Issues are versioned, tested in staging for optimization, and monitored to ensure efficient CI/CD in high-traffic DevOps environments for professionals.

35. Why use variable groups in pipelines?

• Store reusable variables centrally.
• Secure secrets with Key Vault.
• Enable environment-specific configs.
• Versioned for traceability.
• Monitored for variable consistency.

A team used groups for API keys, ensuring flexibility. Staging validated variables in DevOps workflows.

Repositories and Version Control

36. How do you manage Azure Repos?

• Use Git or TFVC for version control.
• Configure branch policies for PRs.
• Track changes in Repos tab.
• Tested in staging for reliability.
• Monitored for repo consistency.

A team managed a Go repo, ensuring collaboration. Staging validated repos in DevOps workflows.

37. What is a branch policy in Azure Repos?

Branch policies enforce PRs, status checks, or reviews. A team protected main, ensuring quality. Policies are configured, tested in staging for reliability, and monitored to maintain consistent version control in collaborative DevOps environments.

38. Why use pull requests in Azure Repos?

• Enable code reviews before merges.
• Enforce quality with status checks.
• Track changes in PR history.
• Versioned for traceability.
• Monitored via progressive rollouts.

A team reviewed PRs for a .NET app, ensuring quality. Staging validated PRs in DevOps workflows.

39. When do you merge branches in Azure Repos?

Merge branches after PR approvals and tests pass. A team merged a feature branch, ensuring stability. Merges are versioned, tested in staging for reliability, and monitored to maintain consistent CI/CD in DevOps environments for professionals.

40. Where do you track repository changes?

• Track in Repos > Commits tab.
• Use git log for local history.
• Versioned for traceability.
• Tested in staging for accuracy.
• Monitored for change integrity.

A team tracked Python changes, ensuring history. Staging validated logs in DevOps workflows.

41. Who manages repository permissions?

Project admins and DevOps engineers manage permissions in Azure Repos. A team restricted write access, ensuring security. Permissions are configured, tested in staging, and monitored to maintain reliable CI/CD in high-traffic DevOps environments.

Permissions ensure governance. Monitoring tracks access in complex setups.

42. Which command clones an Azure Repo?

• Use git clone repo-url.
• Authenticate with PAT or SSH.
• Verify with git status.
• Tested in staging for accuracy.
• Monitored for clone reliability.

A team cloned a Java repo, ensuring access. This supports robust DevOps workflows.

43. How do you resolve merge conflicts?

• Use git mergetool for conflicts.
• Edit files and commit resolutions.
• Push to repo: git push.
• Tested in staging for reliability.
• Monitored for conflict resolution.

A team resolved conflicts in a monorepo, ensuring consistency. Staging validated merges in DevOps workflows.

44. What is the role of Git in Azure Repos?

Git provides distributed version control for Azure Repos, enabling branching and merging. A team used Git for a Node.js project, ensuring traceability. Repos are versioned, tested in staging for reliability, and monitored for consistent DevOps workflows.

45. Why squash commits in Azure Repos?

• Use squash merge in PRs.
• Create cleaner commit history.
• Simplify audit trails.
• Versioned for traceability.
• Monitored for squash accuracy.

A team squashed UI commits, streamlining history. Staging validated merges in DevOps workflows.

46. When do you use rebase in Azure Repos?

Use git rebase for linear history in feature branches. A team rebased a Python branch, improving readability. Rebases are versioned, tested in staging for reliability, and monitored to maintain consistent workflows in DevOps environments for professionals.

47. Where do you configure branch policies?

• Set in Repos > Branches > Policies.
• Require PRs and status checks.
• Restrict direct pushes.
• Tested in staging for security.
• Monitored for policy compliance.

A team protected main, ensuring quality. Staging validated policies in DevOps workflows.

48. Who resolves repository conflicts?

Developers and DevOps engineers resolve conflicts in Azure Repos. A team fixed merge issues, ensuring stability. Resolutions are versioned, tested in staging, and monitored to maintain reliable CI/CD in high-traffic DevOps environments for professionals.

49. Which command pushes to Azure Repos?

• Use git push origin branch.
• Authenticate with PAT or SSH.
• Verify with Repos tab.
• Tested in staging for accuracy.
• Monitored for push reliability.

A team pushed Go changes, ensuring updates. This supports robust DevOps workflows.

50. How do you automate PR checks?

• Add build tasks in azure-pipelines.yml.
• Enforce checks via branch policies.
• Monitor PR status in UI.
• Tested in staging for reliability.
• Monitored for check consistency.

A team automated tests for PRs, ensuring quality. Staging validated checks in DevOps workflows.

51. What is the impact of large repositories?

Large repositories slow cloning and builds in Azure Repos. A team used sparse checkout, improving performance. Repos are versioned, tested in staging for scalability, and monitored to maintain efficient CI/CD in DevOps environments for professionals.

52. Why use Git tags in Azure Repos?

• Mark releases: git tag v1.0.0.
• Provide stable reference points.
• Support deployment rollbacks.
• Versioned for traceability.
• Monitored for tag consistency.

A team tagged a release, ensuring traceability. Staging validated tags in DevOps workflows.

Boards and Agile Processes

53. How do you configure Azure Boards?

• Create boards in Project > Boards.
• Define sprints and work items.
• Assign tasks to team members.
• Tested in staging for accuracy.
• Monitored via canary workflows.

A team set up sprints for a .NET app, ensuring planning. Staging validated boards in DevOps workflows.

54. What is a work item in Azure Boards?

A work item tracks tasks, bugs, or user stories. A team managed UI bugs, ensuring resolution. Items are configured, tested in staging for tracking, and monitored to maintain consistent agile workflows in collaborative DevOps environments for professionals.

55. Why use Kanban boards in Azure DevOps?

• Visualize tasks with columns.
• Track progress in real-time.
• Support agile workflows.
• Versioned for traceability.
• Monitored via feature flags.

A team used Kanban for sprint tasks, improving visibility. Staging validated boards in DevOps workflows.

56. When do you use sprints in Azure Boards?

Use sprints for time-boxed agile iterations. A team planned two-week sprints, ensuring focus. Sprints are configured, tested in staging for accuracy, and monitored to maintain consistent workflows in high-traffic DevOps environments for professionals.

57. Where do you track sprint progress?

• Track in Boards > Sprints tab.
• Use burndown charts for insights.
• Versioned for traceability.
• Tested in staging for accuracy.
• Monitored for progress reliability.

A team tracked sprint tasks, ensuring completion. Staging validated progress in DevOps workflows.

58. Who manages Azure Boards?

Scrum masters and project managers manage Boards for task tracking. A team organized Python tasks, ensuring coordination. Boards are configured, tested in staging, and monitored to maintain reliable agile workflows in high-traffic DevOps environments.

Boards streamline planning. Monitoring ensures task alignment in complex projects.

59. Which work item types are available?

• Types: Epic, Feature, User Story, Bug.
• Customize in Process settings.
• Link to pipeline tasks.
• Tested in staging for accuracy.
• Monitored for item reliability.

A team used User Stories for UI, ensuring clarity. This supports robust DevOps workflows.

60. How do you link work items to commits?

• Add #workItemId in commit messages.
• Link automatically in PRs.
• Track in Boards > Work Items.
• Tested in staging for reliability.
• Monitored for link consistency.

A team linked commits to bugs, ensuring traceability. Staging validated links in DevOps workflows.

61. What is the role of burndown charts?

Burndown charts track sprint progress, showing remaining work. A team used charts for Node.js sprints, ensuring focus. Charts are configured, tested in staging for accuracy, and monitored to maintain consistent agile workflows in DevOps environments.

62. Why use Azure Boards for backlog management?

• Prioritize tasks with backlogs.
• Plan sprints with drag-and-drop.
• Integrate with CI/CD pipelines.
• Versioned for traceability.
• Monitored for backlog accuracy.

A team managed a Java backlog, ensuring prioritization. Staging validated backlogs in DevOps workflows.

63. When do you use queries in Azure Boards?

Use queries to filter work items by status or assignee. A team queried open bugs, ensuring resolution. Queries are configured, tested in staging for accuracy, and monitored to maintain consistent workflows in DevOps environments for professionals.

64. Where do you integrate analytics in Boards?

• Use Analytics views in Boards.
• Track velocity and burndown.
• Versioned for traceability.
• Tested in staging for accuracy.
• Monitored via network monitoring.

A team used analytics for sprint insights, ensuring efficiency. Staging validated metrics in DevOps workflows.

65. Who tracks sprint velocity?

Scrum masters track velocity to measure team capacity. A team analyzed velocity for a .NET project, improving planning. Metrics are configured, tested in staging, and monitored to maintain reliable agile workflows in high-traffic DevOps environments.

66. Which tool visualizes work item dependencies?

• Use Delivery Plans in Boards.
• Show task dependencies across teams.
• Configure in Boards > Plans.
• Tested in staging for accuracy.
• Monitored for dependency reliability.

A team visualized dependencies, ensuring coordination. This supports robust DevOps workflows.

67. How do you automate task updates?

• Use pipeline tasks to update items.
• Link commits with #workItemId.
• Monitor updates in Boards.
• Tested in staging for reliability.
• Monitored for update consistency.

A team automated bug updates, improving tracking. Staging validated automation in DevOps workflows.

68. What is the impact of poor backlog management?

Poor backlog management delays sprints and misaligns priorities. A team reorganized a Python backlog, ensuring focus. Backlogs are configured, tested in staging for clarity, and monitored to maintain consistent agile workflows in DevOps environments.

Security and Compliance

69. How do you secure Azure pipeline secrets?

• Store in Variable groups or Key Vault.
• Access via $(secretName) in YAML.
• Restrict with pipeline permissions.
• Tested in staging for security.
• Monitored via DevSecOps practices.

A team secured API tokens, preventing leaks. Staging validated security in DevOps workflows.

70. What is Azure Key Vault’s role in DevOps?

Azure Key Vault stores secrets and certificates for pipelines. A team used it for database credentials, ensuring security. Vaults are configured, tested in staging for reliability, and monitored to maintain secure CI/CD in DevOps environments for professionals.

71. Why enforce branch policies for security?

• Require PRs and status checks.
• Prevent unauthorized commits.
• Support compliance audits.
• Versioned for traceability.
• Monitored for policy compliance.

A team enforced policies, ensuring quality. Staging validated rules in DevOps workflows.

72. When do you scan for vulnerabilities?

Scan vulnerabilities during builds using tools like WhiteSource. A team scanned npm dependencies, ensuring safety. Scans are configured, tested in staging for reliability, and monitored to maintain secure CI/CD in high-traffic DevOps environments.

Vulnerability scans reduce risks. Monitoring ensures timely updates in complex pipelines.

73. Where do you manage pipeline permissions?

• Set in Pipelines > Security.
• Restrict to specific roles.
• Integrate with Azure AD.
• Tested in staging for security.
• Monitored for permission compliance.

A team restricted pipeline access, ensuring safety. Staging validated permissions in DevOps workflows.

74. Who enforces compliance in Azure DevOps?

Security engineers and DevOps leads enforce compliance via policies and scans. A team implemented audits, ensuring governance. Policies are configured, tested in staging, and monitored to maintain secure CI/CD in high-traffic DevOps environments.

75. Which task integrates with SonarQube?

• Use SonarQubeRun@5 task.
• Run scans in pipeline jobs.
• Configure with service connection.
• Tested in staging for accuracy.
• Monitored for scan reliability.

A team scanned a Java app, ensuring quality. This supports robust DevOps workflows.

76. How do you audit pipeline executions?

• Review logs in Pipelines tab.
• Track changes in audit logs.
• Use Azure Monitor for insights.
• Tested in staging for compliance.
• Monitored for audit integrity.

A team audited deployments, ensuring compliance. Staging validated logs in DevOps workflows.

77. What risks come with unsecured secrets?

Unsecured secrets risk data leaks or unauthorized access. A team used Key Vault, ensuring security. Secrets are configured, tested in staging for reliability, and monitored to maintain secure CI/CD in high-traffic DevOps environments for professionals.

78. Why use service principals for authentication?

• Secure pipelines with Azure AD.
• Avoid hardcoding credentials.
• Support role-based access.
• Versioned for traceability.
• Monitored for auth reliability.

A team used principals for AKS, ensuring safety. Staging validated auth in DevOps workflows.

79. When do you rotate pipeline secrets?

Rotate secrets regularly or after exposure risks. A team rotated tokens quarterly, ensuring compliance. Rotations are configured, tested in staging for reliability, and monitored to maintain secure CI/CD in DevOps environments for professionals.

80. Where do you integrate DAST in pipelines?

• Add DAST tasks post-deployment.
• Use tools like OWASP ZAP.
• Versioned for traceability.
• Tested in staging for reliability.
• Monitored for scan accuracy.

A team integrated ZAP scans, ensuring security. Staging validated scans in DevOps workflows.

81. Who monitors security alerts?

Security teams monitor alerts from Azure Security Center or SonarQube. A team resolved dependency issues, ensuring safety. Alerts are configured, tested in staging, and monitored to maintain secure CI/CD in high-traffic DevOps environments.

82. Which policy enforces code reviews?

• Use branch policies for PRs.
• Require minimum reviewers.
• Enforce status checks.
• Tested in staging for compliance.
• Monitored for review reliability.

A team enforced two reviewers, ensuring quality. This supports robust DevOps workflows.

83. How do you secure service connections?

• Use Azure AD service principals.
• Restrict scope in connections.
• Rotate credentials regularly.
• Tested in staging for security.
• Monitored for connection safety.

A team secured AKS connections, ensuring compliance. Staging validated security in DevOps workflows.

Advanced Azure DevOps Practices

84. How do you implement GitOps in Azure DevOps?

• Sync manifests with Flux or ArgoCD.
• Use pipelines for automation.
• Store configs in Azure Repos.
• Tested in staging for reliability.
• Monitored for GitOps consistency.

A team automated AKS deploys, ensuring scalability. Staging validated GitOps in DevOps workflows.

85. What is a monorepo in Azure Repos?

A monorepo hosts multiple projects in one repository. A team managed microservices, using path triggers. Monorepos are versioned, tested in staging for scalability, and monitored to maintain consistent CI/CD in DevOps environments for professionals.

86. Why use pipeline templates for multi-repo?

• Share templates across projects.
• Reduce duplication in YAML.
• Ensure consistent CI/CD.
• Versioned for traceability.
• Monitored for template reliability.

A team reused test templates, improving efficiency. Staging validated templates in DevOps workflows.

87. When do you use self-hosted agents?

Use self-hosted agents for custom or secure environments. A team ran ML workloads on GPUs, ensuring performance. Agents are configured, tested in staging for reliability, and monitored to maintain secure CI/CD in DevOps environments.

88. Where do you integrate observability?

• Add tasks for Azure Monitor, Prometheus.
• Push metrics post-deployment.
• Versioned for traceability.
• Tested in staging for accuracy.
• Monitored for observability reliability.

A team integrated Monitor, ensuring visibility. Staging validated metrics in DevOps workflows.

89. Who coordinates multi-team pipelines?

DevOps architects coordinate pipelines across teams, aligning dependencies. A team synced service pipelines, ensuring scalability. Coordination is configured, tested in staging, and monitored to maintain reliable CI/CD in high-traffic DevOps environments.

90. Which task supports Terraform deployments?

• Use TerraformTaskV4@4 task.
• Run terraform apply for infra.
• Secure with service connections.
• Tested in staging for accuracy.
• Monitored for deployment reliability.

A team automated Terraform, ensuring scalability. This supports robust DevOps workflows.

91. How do you handle multi-cloud pipelines?

• Use tasks for AWS, GCP, Azure.
• Define jobs for each cloud.
• Monitor cross-cloud metrics.
• Tested in staging for reliability.
• Monitored for cloud consistency.

A team deployed to AWS and Azure, ensuring flexibility. Staging validated pipelines in DevOps workflows.

92. What is the impact of pipeline timeouts?

Timeouts prevent runaway jobs but may interrupt valid tasks. A team adjusted timeouts for builds, ensuring completion. Timeouts are configured, tested in staging for optimization, and monitored to maintain reliable CI/CD in DevOps environments.

93. Why use feature flags in pipelines?

• Enable gradual feature rollouts.
• Reduce deployment risks.
• Integrate with pipeline tasks.
• Versioned for traceability.
• Monitored for flag accuracy.

A team toggled flags for a Node.js app, ensuring safety. Staging validated rollouts in DevOps workflows.

94. When do you use deployment gates?

Use gates to validate deployments with metrics or approvals. A team gated AKS deploys, ensuring stability. Gates are configured, tested in staging for reliability, and monitored to maintain consistent CI/CD in DevOps environments for professionals.

95. Where do you manage pipeline triggers?

• Define in YAML: trigger: main.
• Configure PR triggers in UI.
• Versioned for traceability.
• Tested in staging for reliability.
• Monitored for trigger accuracy.

A team set triggers for code changes, ensuring automation. Staging validated triggers in DevOps workflows.

96. Who optimizes Azure DevOps pipelines?

DevOps engineers optimize pipelines with caching and parallelization. A team reduced .NET build times, improving throughput. Optimizations are configured, tested in staging, and monitored to maintain scalable CI/CD in high-traffic DevOps environments.

97. Which task deploys to Kubernetes?

• Use Kubernetes@1 task.
• Apply manifests: kubectl apply -f.
• Secure with service connections.
• Tested in staging for accuracy.
• Monitored for deployment reliability.

A team deployed to AKS, ensuring scalability. This supports robust DevOps workflows.

98. How do you handle cross-repo dependencies?

• Use pipeline triggers for repos.
• Share templates across projects.
• Monitor dependency syncs.
• Tested in staging for reliability.
• Monitored for dependency consistency.

A team synced microservices, ensuring coordination. Staging validated dependencies in DevOps workflows.

99. What is the role of Azure Monitor in DevOps?

Azure Monitor tracks pipeline and app performance metrics. A team monitored AKS deployments, ensuring reliability. Tools are configured, tested in staging for accuracy, and monitored to maintain consistent CI/CD in DevOps environments for professionals.

100. Why use self-hosted agents for compliance?

• Meet regulatory requirements.
• Control sensitive data environments.
• Support custom configurations.
• Versioned for traceability.
• Monitored via RHCE practices.

A team used agents for HIPAA data, ensuring compliance. Staging validated agents in DevOps workflows.

101. When do you integrate analytics in pipelines?

Integrate analytics post-build for performance insights. A team used Azure Monitor for metrics, ensuring efficiency. Analytics are configured, tested in staging for accuracy, and monitored to maintain consistent CI/CD in DevOps environments for professionals.

102. Where do you handle multi-team coordination?

• Use pipeline triggers for sync.
• Share templates in repos.
• Versioned for traceability.
• Tested in staging for reliability.
• Monitored for coordination accuracy.

A team coordinated service pipelines, ensuring alignment. Staging validated workflows in DevOps.

103. Who maintains Azure DevOps pipelines?

DevOps engineers maintain pipelines, updating YAML and agents. A team optimized a monorepo pipeline, ensuring scalability. Maintenance is configured, tested in staging, and monitored to maintain reliable CI/CD in high-traffic DevOps environments for professionals.