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Microsoft GH-200 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	GitHub Actions
Exam Number:	GH-200
Related Certifications:	GitHub Certifications
Exam Duration:	100 minutes
Passing Score:	700/1000
Exam Price:	$99 USD
Real Exam Qty:	65-72
Exam Format:	Hands-on Concepts, Multiple Choice, Scenario-based Questions
Available Languages:	Japanese, Spanish, Korean, English, Portuguese
Certificate Validity Period:	24 Months
Sample Questions:	Microsoft GH-200 Sample Questions
Exam Way:	Online proctored exam or Pearson VUE testing center
Pre Condition:	No mandatory prerequisite exam. Intermediate experience with GitHub Actions, CI/CD, and workflow automation is recommended.
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/github-actions/

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Microsoft GH-200 Exam Syllabus Topics:

Topic	Details
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	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 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.

Microsoft GitHub Actions Sample Questions (Q134-Q139):

NEW QUESTION # 134
As a DevOps engineer, you are developing a container action. You need to execute a cleanup script after completing the main script execution. Which code block should be used to define the cleanup script?

Answer: C

Explanation:
The correct syntax for specifying a cleanup script to be run after the main entry point is executed in a Docker-based GitHub Action is to use the post key. This ensures that cleanup.sh runs after the main script (main.sh) has completed.

NEW QUESTION # 135
Which of the following commands will set the $FOO environment variable within a script, so that it may be used in subsequent workflow job steps?

A. run: export FOO=bar
B. run: echo "::set-env name=FOO::bar"
C. run: echo ${{ $FOO=bar }}
D. run: echo "FOO=bar" >> $GITHUB_ENV

Answer: D

Explanation:
The $GITHUB_ENV environment variable is used to set environment variables that persist across steps in a workflow job. By echoing FOO=bar into $GITHUB_ENV, the variable FOO will be available in subsequent steps within the same job.
Variables set in GITHUB_ENV apply only to the current job.
Example:
echo "PR_NUMBER=$pr_number" >> $GITHUB_ENV
Reference:
https://github.com/orgs/community/discussions/56849

NEW QUESTION # 136
You installed specific software on a Linux self-hosted runner. You have users with workflows that need to be able to select the runner based on the identified custom software. Which steps should you perform to prepare the runner and your users to run these workflows? (Each correct answer presents part of the solution. Choose two.)

A. Inform users to identify the runner with the labels custom-software and linux.
B. Inform users to identify the runner based on the group.
C. Add the label custom-software to the runner.
D. Add the label linux to the runner.
E. Create the group custom-software-on-linux and move the runner into the group.
F. Configure the webhook and network to enable GitHub to trigger workflow.

Answer: A,C

Explanation:
[F] Add a label for the custom software as required.
Note: Using labels with self-hosted runners
You can use labels to organize your self-hosted runners based on their characteristics.
Creating a custom label
You can create custom labels for runners at the repository and organization levels.
[C, not D] Linux is a default label and does not have to be created to be used.
Reference:
https://docs.github.com/en/actions/how-tos/manage-runners/self-hosted-runners/apply-labels

NEW QUESTION # 137
Which of the following is the proper syntax to specify a custom environment variable named MY_VARIABLE with the value my-value?

A. env:
MY_VARIABLE: my-value
B. var:
MY_VARIABLE: my-value
C. environment:
MY_VARIABLE = my-value
D. env:
MY_VARIABLE = my-value
E. environment:
MY_VARIABLE: my-value
F. var:
MY_VARIABLE = my-value

Answer: A

Explanation:
GitHub Actions defines custom environment variables with the YAML env mapping. YAML mappings use a colon between each key and value, so MY_VARIABLE: my-value beneath env: is the correct syntax. The env key can appear at workflow, job, or step scope depending on how broadly the variable should be available.
Options A, B, E, and F either use an unsupported key or the wrong assignment syntax. environment is associated with deployment environments when used in GitHub Actions workflow syntax; it is not the key for declaring ordinary environment variables. The vars context is used for configuration variables created through repository, organization, or environment settings, but var: is not the workflow syntax shown here. Therefore, option C correctly defines the requested custom environment variable.

NEW QUESTION # 138
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.

A. Encrypt the dataset.
B. Compress the dataset.
C. Store the dataset in a GitHub encrypted secret.
D. Commit the encrypted dataset to the same repository as the workflow.
E. Create a GitHub encrypted secret with the Large object option selected and upload the dataset.
F. Store the encryption keys in a GitHub encrypted secret.
G. Leverage the actions/download-secret action in the workflow.

Answer: A,D,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 # 139
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