What modifications can be made to a schema after ingesting data to a dataset?

The correct answer highlights that you can add new fields and change mandatory fields to optional after ingesting data into a dataset. This flexibility is essential for evolving datasets in response to changing data requirements or when new information needs to be captured.

Adding new fields allows for the inclusion of additional data points that may enhance the dataset's usability and analytical capabilities. For instance, if a new metric becomes important after the data has been initially ingested, the schema can be updated to incorporate this variable.

Transforming mandatory fields into optional ones is also crucial because it enables the schema to accommodate a wider variety of data entries. This can be particularly beneficial when the completeness of incoming data varies, allowing for more comprehensive data analysis without being hindered by strict requirements that may not always be met.

This adaptability in schema management ensures that businesses can continually refine their datasets to align with their analytical needs or organizational changes.