The best practice involves using Shared Libraries to modularize and reuse parts of job definitions. Shared Libraries allow you to define common functionality and use it across multiple projects.

Jenkins can automatically poll source control systems like Git to detect changes in the source code. This enables Jenkins to trigger builds when changes are pushed to the repository.

The Node Management plugin is vital for managing and scaling Jenkins nodes in a distributed setup. It allows administrators to add, remove, and monitor nodes, ensuring efficient resource utilization.

In a parameterized build, the "Array" parameter type is used for accepting multiple string inputs. This allows users to input a list of values during the build process.

It is recommended to check and apply updates to Jenkins at least once a month to ensure that the system benefits from the latest features, security patches, and bug fixes.

The process of automatically installing and configuring plugins during Jenkins setup is known as Bootstrapping. It ensures that the required plugins are set up and ready for use.

Large-scale Jenkins projects often require the use of Pipeline plugins. Pipelines allow for defining complex build and deployment workflows as code, offering enhanced functionality and flexibility.

Jenkins can be configured with load balancing strategies to handle a high volume of builds in large projects. Load balancing ensures the distribution of build tasks across available resources, optimizing performance.

The Cobertura Plugin is essential for generating advanced reporting metrics like test results and coverage in Jenkins. It integrates with Cobertura, a code coverage tool, to provide detailed insights into code quality and test coverage.

To improve build times, configuring caching for frequently used dependencies can be effective. Caching dependencies locally reduces the need to fetch them repeatedly, thereby speeding up the build process.