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Microsoft GH-200 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Author and Maintain Actions: This domain evaluates the abilities of Action Developers and Automation Engineers to select and create suitable types of GitHub Actions, such as JavaScript, Docker containers, or run steps. It emphasizes troubleshooting action code, understanding the components and file structures of actions, and using workflow commands within actions to communicate with runners, including exit code management.
Topic 2
  • Author and Maintain Workflows: This section of the exam measures skills of DevOps Engineers and Automation Specialists and covers building and managing workflows triggered by events such as pushes, scheduled times, manual triggers, and webhooks. It includes understanding workflow components like jobs, steps, actions, and runners, syntax correctness, environment variables, secrets management, and dependencies between jobs. Candidates will also demonstrate practical abilities to create workflows for various purposes, including publishing packages, using service containers, routing jobs, and deploying releases to cloud providers.
Topic 3
  • Manage GitHub Actions in the Enterprise: This section measures the expertise of Enterprise Administrators and Platform Engineers in distributing and managing GitHub Actions and workflows at the organizational level. It includes reuse and sharing of templates, strategies for managing reusable components via repositories and naming conventions, controlling access to actions, setting organization-wide usage policies, and planning maintenance to ensure efficient enterprise-wide deployment of GitHub Actions.
Topic 4
  • Consume Workflows: This domain targets Software Developers and Quality Assurance Engineers and focuses on interpreting workflow runs and their outcomes. It covers identifying triggering events, reading workflow configurations, troubleshooting failures by analyzing logs, enabling debug logging, managing environment variables, caching dependencies, and passing data between jobs. Candidates also manage workflow runs, artifacts, approvals, and status badges, as well as locating workflows within repositories and leveraging organizational templated workflows.

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Microsoft GitHub Actions Sample Questions (Q31-Q36):

NEW QUESTION # 31
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 # 32
What is the best way to control access to secrets and environment variables in GitHub Actions workflows?

Answer: C

Explanation:
To control access to secrets and environment variables in GitHub Actions, you should use environments to define specific protection rules. By scoping secrets and variables to an environment rather than the entire repository, you can ensure they are only accessible to specific jobs after certain conditions are met.
Key Protection Rules for Secrets and Variables
When you use GitHub environments, you can implement several layers of control:
Required Reviewers: You can specify up to six people or teams who must approve a workflow job before it can access the environment's secrets.
Wait Timer: You can set a delay (in minutes) that must pass after a job is triggered before it can proceed and access sensitive data.
Deployment Branch Restrictions: You can limit environment access to only specific branches or tags (e.g., only allow the main branch to access production secrets).
Custom Protection Rules: For Enterprise accounts, you can use GitHub Apps to create custom gates, such as checking for open Jira tickets or passing external security scans before secrets are released.
Implementation Best Practices
Environment vs. Repository Secrets: Always prefer Environment secrets for sensitive data like production API keys. They take precedence over repository-level secrets with the same name.
Least Privilege: Only map the specific jobs that require sensitive data to the protected environment using the environment: keyword in your YAML file.
Plan Requirements: While environments are available for all public repositories, they require a GitHub Pro, Team, or Enterprise plan for private repositories.
Reference:
https://docs.github.com/actions/deployment/targeting-different-environments/using-environments- for-deployment


NEW QUESTION # 33
Scheduled workflows run on the:

Answer: B

Explanation:
Scheduled workflows in GitHub Actions are triggered at specified times, and they run on the latest commit of the branch that triggers the workflow. This means the workflow will run on the most recent commit on the branch that was active at the time the scheduled event occurs.


NEW QUESTION # 34
Which native method should you use to pass files between jobs within the same GitHub Actions workflow?

Answer: D

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 # 35
A development team has been using a Powershell script to compile and package their solution using existing tools on a Linux VM, which has been configured as a self-hosted runner. They would like to use the script as-is in an automated workflow. Which of the following should they do to invoke their script within a workflow step?

Answer: C

Explanation:
Since the self-hosted runner is configured on a Linux VM and the script is written in PowerShell, you can invoke the script using the pwsh (PowerShell Core) shell in a run step in the workflow. This ensures that the script runs as-is on the Linux runner, as PowerShell Core (pwsh) is cross-platform and supports Linux.


NEW QUESTION # 36
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