A feature dataset in a geodatabase can contain which of the following?

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A feature dataset in a geodatabase is specifically designed to store multiple feature classes that share a common spatial reference and coordinate system. This allows for better organization and management of spatial data. The ability to group related feature classes within the same feature dataset is essential for tasks that involve spatial analysis, where features need to be analyzed in conjunction with one another without the complications of differing coordinate systems.

Feature datasets serve to maintain relationships among feature classes, for example, in hydrological modeling or transportation networks, where multiple layers of data may interact. This capability enhances the efficiency of data analysis and integrity by ensuring that all relevant data for a project can be accessed within a single container.

The other options present scenarios that do not align with the fundamental purpose of a feature dataset. Only one feature class would limit the dataset's purpose, while having no feature classes contradicts the definition of a feature dataset entirely. As for only containing raster data, that refers to a different type of data structure; raster datasets have specific characteristics and uses distinct from vector feature classes. Thus, the correct answer accurately reflects the nature and function of feature datasets within a geodatabase.