What describes a feature of tables with snapshot tracking in Caboodle?

In Caboodle's data model, tables with snapshot tracking are designed to efficiently monitor changes over time, enabling analysis of data at specific points in history. The correct answer highlights that one or more columns in these tables are specifically designated to track changes made to the data. This feature allows users to see how the data has evolved without altering the original dataset. By tracking changes in this manner, users can perform historical analyses, generate reports based on past states, and maintain data integrity while still being able to efficiently manage and query the data.

This capability is crucial for applications that rely on knowing the historical context of data, such as patient records in a healthcare setting, where understanding the evolution of a patient's condition is essential for providing appropriate care. The other options do not adequately capture the essence of snapshot tracking—real-time data is not a defining feature, and the focus on only essential columns or performance concerns does not reflect the primary attribute of this tracking method.