What must be done to correct errors found by schema validation?

To address errors identified by schema validation, creating a SQL script for adjustments is essential because it allows for precise modifications directly within the database structure. This approach ensures that data accurately conforms to the defined schema, enabling the correction of issues such as missing or incorrect data types, constraints not being properly enforced, or relationships between tables needing adjustment.

Utilizing SQL scripts facilitates the automation of modifications, which can help prevent future errors and ensure consistency across the database structure. Additionally, it allows for the documentation of changes made, thus promoting better practices in version control and change management.

Though creating a SQL script is integral to correcting these errors, the other options do not effectively address the immediate needs posed by schema validation errors. Documenting errors is critical for tracking issues but does not resolve them. Reverting to an earlier version of the database may not be practical or desirable, especially if it causes data loss or reintroduces previous errors. Consulting with users for approval may be a part of the process after identifying issues but does not directly correct the schema validation errors themselves.