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.

First, the dataset should be encrypted before being stored. This ensures that the data is protected when stored in a repository.
The encrypted dataset can be stored in a GitHub secret, ensuring it is securely kept and not exposed publicly.
The encryption key needed to decrypt the dataset should also be stored in a GitHub secret to maintain security during the workflow, allowing access only when needed.

The key is required because it uniquely identifies the cache. It is used to store and retrieve cached data. When creating or restoring a cache, you need to define a key that will be used to identify the cache.
The path is the file path on the runner that you want to cache. This is where the cached files or dependencies are located and should be specified to tell GitHub where to store or retrieve the cache from.

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.

ADocker container actionis 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.