Free Microsoft GH-200 Practice Exam with Questions & Answers | Set: 4

A job using runs-on: [gpu] depends on an available runner matching that label. If the workflow previously succeeded but now remains waiting, the runner ' s availability, registration, connectivity, or label assignment should be investigated. GitHub stores self-hosted runner application diagnostic logs in the runner installation ' s _diag directory; Runner_ log files provide details about runner startup, connectivity, registration, and update activity, making option A useful. Checking the Set up job information from a previous successful run can also identify which runner previously accepted the job, providing a concrete target for investigation. Rotating GITHUB_TOKEN does not repair runner scheduling because job assignment does not depend on manually rotating that workflow token. GitHub-hosted usage limits are similarly unrelated to a custom gpu runner label. Therefore, A and C are appropriate troubleshooting actions.

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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.

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.

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Self-hosted runners are appropriate when GitHub-hosted runner limits or environment restrictions do not meet the workload requirement. GitHub-hosted runner jobs have a 6-hour job execution limit, while self-hosted runner jobs can run for up to 5 days, so jobs that must run longer than 6 hours require self-hosted runners. Self-hosted runners also let an organization control the machine, operating system, software, hardware, and network location. Therefore, if a workflow job needs to install or access software from the local network, a self-hosted runner is the correct choice. macOS and Windows runners are available as GitHub-hosted options, and GitHub Actions minutes apply to GitHub-hosted usage, not self-hosted runner execution.

GitHub allows an organization to restrict workflows so that they use only actions and reusable workflows available within that organization. When such a policy is enforced, external third-party actions and Marketplace actions can be prevented from running. Custom actions intended for internal reuse should therefore be stored in repositories owned by the organization. GitHub also allows private or internal repositories containing actions to be made accessible to other repositories in the same organization or enterprise. The .github repository has special organization-wide uses, such as workflow templates, but it is not the mandatory distribution location for all custom actions. A third-party repository or the public Marketplace would conflict with an organization-only policy. Therefore, distributing the actions through organization-owned repositories is the appropriate approach.

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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.

The core.warning() function from the @actions/core package is used to create a warning message in the workflow logs. This is an annotation type that informs users about issues that don ' t require failing the build but still need attention.

GitHub Actions routes jobs to self-hosted runners by using runner labels. Custom labels representing required capabilities, such as the operating-system version and Xcode version, can be created and assigned to the appropriate runner. The workflow then specifies those labels in runs-on. When multiple labels are supplied, GitHub requires an eligible runner to match all specified labels, so runs-on: [self-hosted, macos-10.15, xcode-11.2] targets the intended runner configuration. Runner groups are primarily an access-control and organizational mechanism and are not represented by the ${{ groups.* }} expression shown in option B. The Xcode/macOS versions in this exam scenario are historical, but the runner-label routing principle remains current. GitHub documentation confirms custom labels and cumulative runs-on label matching.

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Once the runner is properly configured and labeled, users should be informed to select the specific runner by identifying the label or group name when defining the runner in their workflows.

Adding a custom label (like custom-software) to the runner makes it easier for users to select the runner in their workflows by using the runs-on key, which allows them to choose this specific runner based on its label.

A workflow becomes reusable when its on configuration includes the workflow_call event. This event declares that the workflow can be invoked by another workflow rather than only being started by ordinary repository events. Inputs and secrets can also be defined beneath workflow_call so the caller can provide values to the reusable workflow. workflow_run has a different purpose: it starts a workflow in response to another workflow running or completing. pull_request responds to pull-request activity, while check_run responds to GitHub Checks activity. GitHub ' s official reusable workflow documentation explicitly states that a reusable workflow must contain on: workflow_call. Therefore, workflow_call is the required keyword when defining a workflow intended to be called from other workflows.

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