Free Microsoft GH-200 Practice Exam with Questions & Answers

The best way for an enterprise to control which GitHub Actions run is by creating a list of approved actions as an enterprise policy. This approach restricts workflows to only use the actions that are explicitly allowed, ensuring security and compliance within the organization.

The runs-on keyword allows you to specify the operating system and other labels for the runner. By specifying self-hosted, windows, and x64, you are targeting a self-hosted Windows runner that matches these criteria, which aligns with the custom configuration of your self-hosted runner.

To prevent reaching the storage limit for GitHub artifacts and packages, you should manage and clean up artifacts and packages stored in repositories owned by your organization. This includes deleting unnecessary artifacts and managing the lifecycle of packages, as they contribute directly to your organization's storage quota.

In a Docker container action, the action.yml file includes the runs.using field, which is set to docker to specify that the action runs inside a Docker container. This is the key indicator that the action is a Docker container action.

While Docker can run on various operating systems, Linux is often the most common and preferred OS for containerized workloads. Docker works well on Linux and is a widely-used platform for running containers.

For container jobs to run on a self-hosted runner, Docker must be installed and properly configured on the runner. Docker is required to build and run containerized workloads in a GitHub Actions workflow.

Job outputs are used to pass data from one job to another in a workflow. A job can produce output values (like variables or files), which can be referenced by subsequent jobs using the needs keyword and ${{ steps.step_id.outputs.output_name }} syntax.

Artifact storage allows data (such as files or results) to be saved by a job and then retrieved by another job in a later step. This is commonly used for passing large amounts of data or files between jobs.

When troubleshooting a self-hosted runner, you can access the _diag folder located in the self-hosted runner's installation directory. This folder contains diagnostic logs that can help you identify the root cause of issues, such as connection problems.

Since the self-hosted runner is configured on a Linux VM and the script is written in PowerShell, you can invoke the script using the pwsh (PowerShell Core) shell in a run step in the workflow. This ensures that the script runs as-is on the Linux runner, as PowerShell Core (pwsh) is cross-platform and supports Linux.

Creating a separate repository for each custom action allows you to manage the versioning independently for each action. This approach provides flexibility, as each action can be updated, tested, and versioned separately, avoiding potential conflicts or dependencies between different actions.

The action.yml file is the metadata file in a custom GitHub Action that defines the main entry point, including information such as the inputs, outputs, description, and the runs key that specifies the main entry point (e.g., a script or a Docker container).