Tag each model and version resource on AI Platform with the corresponding BigQuery table name used for training, ensuring traceability but requiring manual updates for new tables.

Query BigQuery's INFORMATION_SCHEMA metadata tables to list all table names in your project and manually identify the needed table, a method that is straightforward but not scalable for thousands of datasets.

Utilize Data Catalog to search BigQuery datasets by keywords found in table descriptions, leveraging Google Cloud's native service for metadata management and search.

Create and maintain a BigQuery lookup table that links table descriptions to table IDs, then query this lookup table to find the correct table ID, a solution that introduces maintenance overhead.