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Microsoft GH-200 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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 4	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.

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Microsoft GitHub Actions Sample Questions (Q29-Q34):

NEW QUESTION # 29
Which GitHub Actions capability prevents secrets from appearing in workflow logs?

A. Default secret masking in logs
B. Encrypted secrets written to logs
C. GitHub Audit Log
D. Manual approval for secret log output

Answer: A

Explanation:
GitHub Actions automatically redacts secret values from workflow logs so if a command prints a secret the value is masked in the output. This built in protection helps prevent accidental exposure of credentials during job execution and it applies without additional configuration.

NEW QUESTION # 30
While writing a custom action, some behavior within the runner must be changed. Which workflow commands would set an error message in the runner ' s output?
(Each correct answer presents a complete solution. Choose two.)

A. echo " ::error=There was an error:: "
B. echo " ::error file=main.py,line=10,col=15::There was an error "
C. echo " ::error message=There was an error:: "
D. echo " ::error::There was an error "

Answer: B,D

Explanation:
GitHub workflow commands use the syntax ::command parameter=value::{message}. For an error annotation without file-location metadata, echo " ::error::There was an error " is valid because error is the workflow command and the text following the second :: is the message. GitHub also supports parameters such as file, line, and col, making option C valid for associating the error annotation with a specific source-code position.
Option A incorrectly places the actual text in a message= parameter while leaving no message after the command separator. Option D also uses invalid workflow-command syntax because error=... is not the command format GitHub defines. Therefore, according to the current GitHub Actions workflow-command specification, the two valid commands are B and C.

NEW QUESTION # 31
You are reaching your organization's storage limit for GitHub artifacts and packages. What should you do to prevent the storage limit from being reached? (Choose two.)

A. Configure the artifact and log retention period.
B. Disable branch protections in the repository.
C. Delete artifacts from the repositories manually
D. Configure the repo to use Git Large File Storage.
E. Use self-hosted runners for all workflow runs.

Answer: A,C

Explanation:
Deleting artifacts from repositories manually will free up storage space. Artifacts are typically stored for a limited time by default, but manual cleanup can help manage space.
Configuring the artifact and log retention period allows you to control how long artifacts and logs are retained in your repository. By shortening the retention period, you can prevent unnecessary accumulation of data and manage storage more effectively.

NEW QUESTION # 32
As a developer, you created a JavaScript action. What is the best way to test your JavaScript action?

A. Create a workflow that only executes your specific JavaScript action.
B. Package your JavaScript action inside a Docker container image and run it.
C. Use a tool called @vercel/ncc to compile your code.
D. Create a workflow that includes the actions/debug-javascript action.

Answer: A

Explanation:
The appropriate way to test a JavaScript action is to invoke that action from a GitHub Actions workflow and verify its behavior on an actual runner. GitHub ' s JavaScript-action documentation specifically demonstrates testing a newly created action by creating a workflow that references and executes it. This exercises the action
' s metadata, inputs, JavaScript entry point, runner behavior, outputs, and failure handling in the same environment where consumers will use it. @vercel/ncc or another bundler can package JavaScript and its dependencies into a distributable file, but bundling is not itself a functional test. A JavaScript action also does not need to be converted into a Docker container. Finally, actions/debug-javascript is not the documented mechanism for testing JavaScript actions. Therefore, option B provides the correct testing approach.

NEW QUESTION # 33
You are a DevOps engineer working on a custom action. You want to conditionally run a script at the start of the action, before the main entry point. Which code block should be used to define the metadata file for your custom action?

A. runs:
using: ' node16 '
pre-if: github.event_name == ' push ' then ' start.js '
main: ' index.js '
B. runs:
using: ' node16 '
before: ' start.js '
before-if: github.event_name == ' push '
main: ' index.js '
C. runs:
using: ' node16 '
start: ' start.js '
start-if: github.event_name == ' push '
main: ' index.js '
D. runs:
using: ' node16 '
pre: ' start.js '
pre-if: github.event_name == ' push '
main: ' index.js '

Answer: D

Explanation:
JavaScript action metadata supports the runs.pre property for specifying a script that executes before the action ' s main entry point. The optional runs.pre-if property controls whether that pre-script executes.
Therefore, option B uses the correct metadata structure: pre identifies start.js, pre-if supplies the condition, and main identifies the principal action code. GitHub does not define start, start-if, before, or before-if metadata properties. Current GitHub documentation lists newer supported Node.js runtimes, such as Node.js
20 and Node.js 24, rather than the historical node16 shown in this exam item; however, the tested metadata structure remains pre, pre-if, and main. Thus, among the supplied options, B is structurally correct.

NEW QUESTION # 34
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