Practice Free GH-200 GitHub Actions Exam Exam Questions Answers With Explanation

A non-zero exit code is used to set the status of an action to "failed" in GitHub Actions. When the action's script or code exits with a non-zero status, it indicates failure, and GitHub will mark the action as failed.

The needs context is used to reference the outputs of jobs that are dependencies of the current job. In this case, needs.job1.outputs.output1 correctly accesses the output of output1 from the job job1 in the dependent job.

Using a tag is a best practice because tags are immutable and represent a fixed version of your action. By referencing tags, consumers of your action can be assured they are using a stable and specific version of the action, which helps in avoiding issues with breaking changes.

The commit SHA is another reliable way to specify a particular version of an action. By referencing a specific commit SHA, consumers can ensure they are using exactly the code that was written at that moment, avoiding the potential for changes in the future.

Searching the GitHub Marketplace for verified actions published by the cloud provider is the quickest and safest approach. Many cloud providers offer verified GitHub Actions that are maintained and optimized to interact with their services. These actions typically come with the correct configurations and best practices, allowing you to get started quickly without reinventing the wheel.

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.

The correct syntax includes specifying the job (example-job), the runner (ubuntu-latest), and the necessary step (npm install -g bats) within the workflow. This ensures that the package is installed properly during the execution of the job.

Scheduled workflows in GitHub Actions are triggered at specified times, and they run on the latest commit of the branch that triggers the workflow. This means the workflow will run on the most recent commit on the branch that was active at the time the scheduled event occurs.

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.

GitHub-hosted runners automatically handle patching, meaning they will be kept up to date with the latest security updates and software patches for both the runner environment and the underlying operating system.

GitHub-hosted runners support Linux, Windows, and macOS, giving you flexibility to run workflows on different operating systems without needing to manage your own self-hosted runners.

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.

For a Docker container action to run in a GitHub Actions workflow, the runner must have Docker installed. The runs-on attribute of the job should specify an environment that supports Docker, typically a Linux environment (e.g., ubuntu-latest), since Docker is widely supported and commonly used in Linux-based environments.

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.

Workflow files must be stored in the .github/workflows/ directory of the repository. This is the standard location for GitHub Actions workflow files, and workflows in this directory are automatically triggered by events defined in the file, such as pushes, pull requests, or other GitHub events.

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.

You can define environment variables for the entire workflow by using the env key at the top level of the workflow file. These environment variables will be available to all jobs and steps within the workflow.

Environment variables can also be set within the run attribute of a job step, and these variables will be scoped only to that specific step.

You can set environment variables for specific steps within a job by using jobs..steps[*].env, which allows you to define variables that will only be available to that step.

Creating workflow templates in the organization’s .github repository allows the organization to standardize workflows and make them easily reusable across multiple repositories. This ensures consistency and simplifies maintenance.

Creating reusable actions and workflows that can be called from other workflows helps modularize and standardize automation tasks. These reusable components can be maintained centrally and called from different workflows across repositories.