As a developer, how can you identify a Docker container action on GitHub?
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.
Which files are required for a Docker container action in addition to the source code? (Choose two.)
Dockerfile: The Dockerfile is required for Docker container actions. It defines the environment for the action, specifying the base image, dependencies, and any commands to set up the action's runtime inside the container.
action.yml: The action.yml file is required for all GitHub Actions, including Docker container actions. It contains metadata about the action, including the inputs, outputs, and the runtime environment (which in this case is Docker, defined under runs.using).
As a DevOps engineer developing a JavaScript action, you need to include annotations to pass warning messages to workflow runners. Which code snippet can you use to implement an annotation in your Actions?
As a DevOps engineer developing a JavaScript action, you need to include annotations to pass warning messages to workflow runners. Which code snippet can you use to implement an annotation in your Actions?
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.
As a developer, your self-hosted runner sometimes looses connection while running jobs. How should you troubleshoot the issue affecting your self-hosted runner?
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.
As a developer, you need to create a custom action written in Python. Which action type should you choose?
As a developer, you need to create a custom action written in Python. Which action type should you choose?
A Docker container action is ideal for custom actions that require specific environments or dependencies, such as Python. By creating a Docker container, you can define the environment with the necessary Python version and dependencies, and your Python code can run inside that container.
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