Comprehensive and Detailed Explanation:
When setting up CodeQL analysis for compiled languages, there are two primary methods to buildyour code:
GitHub Docs
Autobuild: CodeQL attempts to automatically build your codebase using the most likely build method. This is suitable for standard build processes.
GitHub Docs
Custom Build Steps: For complex or non-standard build processes, you can implement custom build steps by specifying explicit build commands in your workflow. This provides greater control over the build process.
GitHub Docs
The init action initializes the CodeQL analysis but does not build the code. The jobs.analyze.runs-on specifies the operating system for the runner but is not directly related to building the code. Uploading compiled binaries is not a method supported by CodeQL for analysis.

The GitHub Code Scanning API includes endpoints that allow you to:
* List alertsfor a repository (filtered by branch, state, or tool) - useful for monitoring security over time.
* Get a single alertby its ID to inspect its metadata, status, and locations in the code.
However, GitHub doesnotsupport modifying the severity of alerts via API - severity is defined by the scanning tool (e.g., CodeQL). Likewise, alertscannot be deletedvia the API; they are resolved by fixing the code or dismissing them manually.

When defining a custom pattern for secret scanning, two key fields are required:
* Name of the pattern: A unique label to identify the pattern
* Secret format: A regular expression that defines what the secret looks like (e.g., token format) You can optionally specifyadditional match requirements(like required context keywords), but they're not mandatory. Listing repositories is also not part of the required fields during pattern creation.

To grant specific users access toview and manage secret scanning alerts, you do this via theSettingstab of the repository. From there, under the"Code security and analysis"section, you can add individuals or teams with roles such assecurity manager.
The Security tab only displays alerts; access control is handled in Settings.

Comprehensive and Detailed Explanation:
By default, users with write access to a repository have the ability to merge pull requests, including those created by Dependabot for security updates. This access level allows contributors to manage and integrate changes, ensuring that vulnerabilities are addressed promptly.
Users with only read access cannot merge pull requests, and enterprise administrators do not automatically have merge rights unless they have write or higher permissions on the specific repository.