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Microsoft GH-200 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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.

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Microsoft GitHub Actions Sample Questions (Q125-Q130):

NEW QUESTION # 125
What is the minimal syntax for declaring an output named foo for an action?

Answer: D

Explanation:
To declare an output in a custom GitHub Action, you add an outputs block to your action.yml metadata file.
Here is the minimal yaml syntax:
outputs:
foo:
description: 'A description is required'
Use code with caution.
Note: The description field is mandatory in the metadata file, even if it is brief. To actually assign a value to this output during execution, you would then use the following command in your script:
echo "charlemagne=your_value" >> $GITHUB_OUTPUT
Reference:
https://oneuptime.com/blog/post/2026-01-30-github-actions-action-outputs/view


NEW QUESTION # 126
Which YAML snippet triggers a GitHub Actions workflow for both push and pull request events?

Answer: D

Explanation:
To trigger a GitHub Actions workflow on both push and pull request events, use the on key with a list of the events:
on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
Key Details:
Events: You can list multiple events under on. This setup ensures the workflow runs whenever code is pushed to main or when a PR is opened/updated against main.
Activity Types: By default, pull_request triggers on opened, reopened, and synchronize (new commits to the PR).
Filtering: You can further refine these triggers by adding specific paths, tags, or different branches to avoid unnecessary runs Incorrect:
[Not A]
The push event is for the dev branch only.
[Not B]
Has only the push event.
[Not C]
Has only the push event.
Reference:
https://blog.devops.dev/automate-your-workflow-a-guide-to-ci-cd-with-github-actions-3f395d60ba69


NEW QUESTION # 127
Custom environment variables can be defined at multiple levels within a workflow file, including which three levels?
(Each correct answer presents a complete solution. Choose three.)

Answer: A,C,E

Explanation:
GitHub Actions supports the env key at three workflow syntax scopes: the workflow ' s top level, an individual job, and an individual step. A top-level env value is available to steps across all jobs in the workflow. jobs. < job_id > .env limits variables to the steps of one job, while jobs. < job_id > .steps[*].env limits them to a particular step. When the same variable name is defined at several levels, the most specific definition takes precedence while that scope executes. GitHub Actions does not define a generic stage scope, and defaults is used for default settings such as the shell or working directory rather than as another env scope. Likewise, runner level is not a workflow-file env scope. Therefore, step, top, and job levels are correct.


NEW QUESTION # 128
What is the right method to ensure users approve a workflow before the next step proceeds?

Answer: D

Explanation:
GitHub Actions allows you to configure environment protection rules, where you can require specific users or teams to approve the deployment before the workflow proceeds to the next step. This ensures that the required reviewers approve the workflow before any sensitive actions (such as deployment) occur.


NEW QUESTION # 129
As a developer, you have a 10-MB data set that is required in a specific workflow.
Which three steps should you perform so the dataset is stored encrypted and can be decrypted during the workflow? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

Answer: B,C,F

Explanation:
To handle a 10 MB dataset securely in GitHub Actions, you should use GitHub Actions Secrets for the key and a symmetric encryption tool (like GPG or OpenSSL) for the file.
Follow these steps:
[B] 1. Encrypt the Dataset Locally
Since GitHub Actions secrets have a size limit of 48 KB, you cannot store a 20 MB dataset directly as a secret. Instead, encrypt the file locally using GPG before committing it.
[A] 2. Store the Encryption Key in GitHub
Store the passphrase you just created as a GitHub Actions Secret so the workflow can access it securely without exposing it in the code.
[G] 3. Commit the Encrypted Dataset
Now, add only the encrypted version of your data to your repository.
Add the encrypted file: git add large_dataset.csv.gpg
Important: Ensure the original unencrypted large_dataset.csv is added to your .gitignore so it is never committed.
Commit and push the encrypted file to your repository.
4. Decrypt the Dataset in the Workflow
In your GitHub Actions workflow file (e.g., .github/workflows/main.yml), add a step to decrypt the file using the secret passphrase.
Incorrect:
[Not D]
Since GitHub Secrets have a size limit (64 KB), you cannot store the dataset itself as a secret.
Reference:
https://docs.github.com/en/enterprise-server@3.20/actions/how-tos/write-workflows/choose-what- workflows-do/use-secrets


NEW QUESTION # 130
......

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