What storage type allows you to validate the imported data against schema?

The correct choice is based on the functionality associated with tables within Workday Prism Analytics. Tables serve as structured data storage that enforces a defined schema, which is essentially a blueprint describing the structure of the data, including the organization of fields, their data types, and any relationships between them.

When data is imported into tables, the system automatically validates the incoming data against this schema. This validation process ensures that the data adheres to the expected format and standards defined by the schema, which helps maintain data integrity and accuracy.

In contrast, while files, views, and lists may serve various purposes in data handling and analysis, they do not inherently provide the same level of validation against a schema at the time of data import. Files can be unstructured and lack schema constraints, views are typically visual representations of data that display existing data without physical storage implications, and lists are more suited for dynamic or simple data entries without the structured validation of a table. Therefore, tables specifically enable the critical data validation process against predefined schemas, solidifying their role as the correct answer.