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Microsoft GH-200 Exam Syllabus Topics:

Topic	Details
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	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 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 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 (Q38-Q43):

NEW QUESTION # 38
While awaiting approval, how many days can a workflow be in the "Waiting" state before it automatically fails?

A. 14 days
B. 7 days
C. 30 days
D. 60 days

Answer: C

Explanation:
When a workflow job targets an environment that has required reviewers, the job enters a waiting state until it is approved or rejected. GitHub Actions does not allow that waiting state to remain indefinitely. If the job is not approved within the allowed period, the workflow fails automatically. The correct duration is 30 days, making option C correct. Options A, B, and D do not match the GitHub Actions environment approval behavior. This is important for deployment governance because required reviewers can block access to protected environments and environment secrets, but pending approvals still have a maximum lifetime. This exam topic aligns with protected environments, deployment approvals, required reviewers, and workflow execution control.

NEW QUESTION # 39
You are a DevOps engineer working on deployment workflows. You need to execute the deploy job only if the current branch name is feature-branch. Which code snippet will help you implement the conditional execution of the job?

A. jobs:
deploy:
if: github.ref_name == ' feature-branch '
runs-on: ubuntu-latest
B. jobs:
deploy:
if: github.ref.name = ' feature-branch '
runs-on: ubuntu-latest
C. jobs:
deploy:
if: github.branch.name == ' feature-branch '
runs-on: ubuntu-latest
D. jobs:
deploy:
if: github.branch_name == ' feature-branch '
runs-on: ubuntu-latest

Answer: A

Explanation:
The GitHub context exposes the short name of the branch or tag through github.ref_name. For a workflow triggered from a branch named feature-branch, the expression github.ref_name == ' feature-branch ' evaluates to true, allowing the job to run. GitHub also provides github.ref, but that value normally contains the complete Git reference, such as refs/heads/feature-branch, rather than only the short branch name. The properties github.
branch_name, github.ref.name, and github.branch.name shown in the other options are not valid GitHub context properties. GitHub evaluates a job-level if expression before sending the job to a runner, making this an appropriate mechanism for conditional deployment execution. Therefore, option B uses the correct context property and comparison syntax.

NEW QUESTION # 40
As a developer, you are authoring a workflow that will deploy to both DevCloud and TestCloud resources. Each cloud resource is accessed with a different deployment key. Which approach best allows you to use the same reusable workflow in separate jobs to target the different cloud resources?

A. Use a marketplace action to conditionally parse the DEPLOY_KEY repository secret based on the cloud resource name.
B. Create repository secrets named DevCloud.DEPLOY_KEY and TestCloud.DEPLOY_KEY so that the reusable workflow parses the secrets by resource name.
C. Populate a DEPLOY_KEY repository secret with a JSON object containing DevCloud and TestCloud properties. Then specify DEPLOY_KEY.DevCloud in the secrets sections of the reusable workflow.
D. Store the different keys in a DEPLOY_KEY environment secret in the DevCloud and TestCloud environments. Specify DEPLOY_KEY in the secrets section of the reusable workflow.

Answer: D

Explanation:
Using inputs and secrets in a reusable workflow
You can define inputs and secrets, which can be passed from the caller workflow and then used within the called workflow.
In the reusable workflow, use the inputs and secrets keywords to define inputs or secrets that will be passed from a caller workflow.
on:
workflow_call:
inputs:
config-path:
required: true
type: string
secrets:
personal_access_token:
required: true
Reference:
https://docs.github.com/en/enterprise-cloud@latest/actions/how-tos/reuse-automations/reuse- workflows

NEW QUESTION # 41
As a developer, you are configuring GitHub Actions to deploy VMs to production. A member of the VMOps team must provide approval before the deployment occurs. Which of the following steps should you take?
(Each correct answer presents part of the solution. Choose two.)

A. Specify the VMOps team as the owner of the environment.
B. Navigate to the repository settings and create a Production environment with the VMOps team as a required reviewer.
C. Add the VMs to the environment.
D. Specify the environment named Production in the workflow jobs that deploy to the VMs.
E. Navigate to the organization settings and create a Production environment with the VMOps team as a required reviewer.

Answer: B,D

Explanation:
GitHub environments provide deployment protection controls such as required reviewers. First, the Production environment should be created in the repository ' s Settings > Environments configuration, where the VMOps team can be configured as required reviewers. This makes option C correct; the environment is not created as an organization-level environment as described by option B. Second, the deployment job must reference the Production environment. GitHub applies the environment ' s protection rules to jobs that reference that environment, so the deployment remains in a waiting state until an authorized reviewer approves it. GitHub environments are logical deployment-control resources; individual VMs do not need to be added to an environment, nor is an environment "owned" by a team. Therefore, options A and C together implement the required production approval gate.

NEW QUESTION # 42
As a developer, you are designing a workflow and need to communicate with the runner machine to set environment variables, output values used by other actions, add debug messages to the output logs, and other tasks. Which of the following options should you use?

A. enable debug loggingE composite run step
B. self-hosted runners
C. environment variables
D. workflow commands

Answer: D

Explanation:
Workflow commands are special commands that allow you to interact with the runner, set environment variables, output values, add debug messages, and perform other tasks within the workflow. These commands are used to modify the environment or influence the behavior of the GitHub Actions runner.

NEW QUESTION # 43
......

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