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Microsoft GH-200 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Author and Maintain Actions25%- Action lifecycle management
  • 1. Maintain action metadata
  • 2. Version and publish actions
  • 3. Reuse actions across repositories
- Custom action development
  • 1. Create JavaScript actions
  • 2. Create composite actions
  • 3. Create Docker container actions
Topic 2: Manage GitHub Actions for the Enterprise15%- Runner management
  • 1. Configure GitHub-hosted runners
  • 2. Configure runner groups
  • 3. Manage self-hosted runners
- Enterprise governance and security
  • 1. Manage permissions and policies
  • 2. Control workflow execution
  • 3. Implement enterprise security practices
Topic 3: Consume Workflows20%- GitHub API integration
  • 1. Query workflow data through APIs
  • 2. Retrieve workflow execution information
- Workflow usage and monitoring
  • 1. Access workflow run logs
  • 2. Download and manage artifacts
  • 3. Interpret workflow results
Topic 4: Author and Maintain Workflows40%- Workflow security and troubleshooting
  • 1. Use service containers
  • 2. Manage secrets and environment variables
  • 3. Analyze workflow logs and failures
- Workflow automation
  • 1. Deploy applications using GitHub Actions
  • 2. Automate development tasks
  • 3. Build CI/CD pipelines
- Workflow structure and YAML syntax
  • 1. Use reusable workflows
  • 2. Configure matrix builds and dependencies
  • 3. Define workflows using events, jobs, and steps

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Microsoft GitHub Actions Sample Questions (Q132-Q137):

NEW QUESTION # 132
What is the most secure way to store sensitive information in GitHub Actions workflows?

Answer: D

Explanation:
The most secure option listed is to use OIDC-based integration to obtain short-lived credentials from an external secrets manager or cloud provider. This avoids storing long-lived sensitive values directly in workflow YAML, repository text, or regular environment variables. Options A, B, and C are insecure because they expose or persist sensitive information in places that can be read, logged, committed, or mismanaged. With OIDC, the workflow requests a token from GitHub's OIDC provider and exchanges it with the trusted external provider for a short-lived credential. This reduces secret sprawl and supports stronger authorization controls. GitHub documents OIDC as a way to avoid duplicating long- lived cloud credentials as GitHub secrets and to use short-lived access tokens instead.


NEW QUESTION # 133
As a DevOps engineer, you need to define a deployment workflow that runs after the build workflow has successfully completed. Without modifying the build workflow, which trigger should you define in the deployment workflow?

Answer: C

Explanation:
A deployment workflow can be started after a build workflow has finished by using the workflow_run event in the deployment workflow's on trigger. You must specify the name of the build workflow you want to trigger on and use an if condition to ensure the deployment workflow only runs if the build workflow successfully completes.
Here's how to set it up:
In your deployment workflow file: (e.g., deploy.yml), define the on: trigger.
Use the workflow_run event: within the on: trigger.
Specify the build workflow: by its name.
Add a conditional if statement: to the workflow to check the conclusion of the workflow_run event, ensuring it equals 'success'.
Reference:
https://docs.github.com/actions/learn-github-actions/events-that-trigger-workflows


NEW QUESTION # 134
You are a developer working on developing reusable workflows for your organization. What keyword should be included as part of the reusable workflow event triggers?

Answer: D

Explanation:
To make a GitHub Actions workflow reusable, you must include the workflow_call keyword under the on key.
This specific event trigger allows the workflow to be called by other "caller" workflows rather than only triggering on standard events like a code push or pull request.
Reusable Workflow Syntax
A basic reusable workflow structure using the workflow_call trigger typically looks like this:
on:
workflow_call:
inputs:
# Optional: Define inputs to be passed from the caller
username:
required: true
type: string
secrets:
# Optional: Define secrets to be passed from the caller
env_token:
required: true
Key Components of workflow_call
inputs: Used to define non-sensitive data (strings, numbers, or booleans) that the caller workflow must or can provide.
secrets: Used to define sensitive data that the caller must pass to the reusable workflow.
outputs: Used to map data from jobs within the reusable workflow so they can be used by the caller workflow.
Reference:
https://www.incredibuild.com/blog/best-practices-to-create-reusable-workflows-on-github-actions


NEW QUESTION # 135
Which native method should you use to pass files between jobs within the same GitHub Actions workflow?

Answer: B

Explanation:
The correct native GitHub Actions method for passing files between jobs in the same workflow is artifact storage. Workflow artifacts are designed to persist files produced by one job so they can be downloaded and used by another job later in the workflow. Job outputs are better suited for passing small values, strings, IDs, flags, or metadata between jobs, not full files. Caching is intended to speed up repeated workflow runs by reusing dependencies or build outputs; it is not the proper mechanism for transferring job-produced files. An external blob store can work architecturally, but it is not the native GitHub Actions method. Therefore, artifact storage is the best and most exam-aligned answer for passing files between jobs.


NEW QUESTION # 136
Your organization needs to simplify reusing and maintaining automation in your GitHub Enterprise Cloud. Which components can be directly reused across all repositories in an organization?
(Each correct answer presents a complete solution. Choose three.)

Answer: A,B,F


NEW QUESTION # 137
......

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