Which configuration is valid for a JDBC connector?

Defining table and column mappings explicitly is essential for ensuring that data is correctly interpreted and managed when using a JDBC connector. By providing explicit definitions of how tables and their corresponding columns in a database translate to fields in the identity governance framework, it allows for accurate data extraction and integrity during synchronization processes. This kind of configuration minimizes ambiguity and helps facilitate seamless integration with other systems by ensuring that the data structures align properly.

The other options present various pitfalls related to database connectivity and security. Using a JDBC template without validating the schema could lead to issues if the schema changes in the database, causing potential runtime errors or data inconsistencies. Securing the connection with SSL settings is a best practice for protecting sensitive information during transmission, but it does not specifically relate to the necessary configuration for a JDBC connector. Lastly, utilizing hard-coded database credentials is a risky practice that can expose sensitive information and lead to vulnerabilities, making it a poor choice for secure application development.

Thus, the validity of defining table and column mappings explicitly ensures that the JDBC connector functions optimally, providing a reliable foundation for data management and integration.