What should the configuration of the Auto Field Tool result in?

The Auto Field Tool in Alteryx is designed to optimize field types based on the data contained within each column of a dataset. The primary goal of this tool is to assign the smallest appropriate field type that can accommodate the data without loss of information, which leads to more efficiently storing data and optimizing performance during processing.

By selecting the smallest field type relative to the data, the Auto Field Tool ensures that memory usage is minimized. For example, instead of assigning an unnecessarily large data type like a Double to store small integers, it will use an Integer type if that suffices. This capability is particularly important in large datasets, where even small differences in field type allocation can lead to significant improvements in processing speed and resource consumption.

Other options suggest configurations that do not align with the Auto Field Tool's purpose—such as using fixed field types for all columns or only correct handling of numeric fields—thereby missing the essence of the tool’s flexibility and efficiency in data handling. The correct choice encapsulates the Auto Field Tool's functionality of ensuring data types are optimized based on the actual content of the fields.