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Key GH-200 Concepts - Exam GH-200 Pattern

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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.

>> Key GH-200 Concepts <<

GH-200 Pass-Sure Materials: GitHub Actions - GH-200 Actual Test & GH-200 Test Torrent

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Microsoft GitHub Actions Sample Questions (Q62-Q67):

NEW QUESTION # 62
Custom environment variables can be defined at multiple levels within a workflow file including:
(Each answer presents a complete solution. Choose three.)

A. default level.
B. top level.
C. step level.
D. stage level.
E. job level.
F. runner level.

Answer: B,C,E

Explanation:
Defining environment variables for a single workflow
To set a custom environment variable for a single workflow, you can define it using the env key in the workflow file. The scope of a custom variable set by this method is limited to the element in which it is defined. You can define variables that are scoped for:
The entire workflow, by using env at the top level of the workflow file.
The contents of a job within a workflow, by using jobs.<job_id>.env.
A specific step within a job, by using jobs.<job_id>.steps[*].env.
Reference:
https://docs.github.com/en/actions/how-tos/write-workflows/choose-what-workflows-do/use- variables

NEW QUESTION # 63
As a developer, you have a 10-MB data set that is required in a specific workflow. Which steps should you perform so the dataset is stored encrypted and can be decrypted during the workflow? (Choose three.)

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

Answer: C,D,G

Explanation:
First, the dataset should be encrypted before being stored. This ensures that the data is protected when stored in a repository.
The encrypted dataset can be stored in a GitHub secret, ensuring it is securely kept and not exposed publicly.
The encryption key needed to decrypt the dataset should also be stored in a GitHub secret to maintain security during the workflow, allowing access only when needed.

NEW QUESTION # 64
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. Disable branch protections in the repository.
B. Configure the artifact and log retention period.
C. Use self-hosted runners for all workflow runs.
D. Configure the repo to use Git Large File Storage.
E. Delete artifacts from the repositories manually

Answer: B,E

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 # 65
You need to make a script to retrieve workflow run logs via the API. Which is the correct API to download a workflow run log?

A. GET /repos/:owner/:repo/actions/artifacts/logs
B. POST /repos/:owner/:repo/actions/runs/:run_id
C. POST /repos/:owner/:repo/actions/runs/:run_id/logs
D. GET /repos/:owner/:repo/actions/runs/:run_id/logs

Answer: D

Explanation:
REST API endpoints for workflow jobs
You can use the REST API to view logs and workflow jobs in GitHub Actions.
Download job logs for a workflow run
Gets a redirect URL to download a plain text file of logs for a workflow job.
Code samples for "Download job logs for a workflow run"
Request example
Get /repos/{owner}/{repo}/actions/jobs/{job_id}/logs
Reference:
https://docs.github.com/en/rest/actions/workflow-jobs

NEW QUESTION # 66
In the following workflow file, line 5 interprets lines 3 and 4 as Python. Which of the following is a valid option to complete line 5?
1 steps:
2 - run: |
3 import os
4 print(os.environ['PATH'])
5

A. shell: bash
B. shell: python
C. with: python
D. working-directory: .github/python

Answer: B

Explanation:
Workflow syntax for GitHub Actions
Example: Running an inline Python script
steps:
- name: Display the path
shell: python
run: |
import os
print(os.environ['PATH'])
Reference:
https://docs.github.com/en/actions/reference/workflows-and-actions/workflow-syntax

NEW QUESTION # 67
......

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