To enforce overarching, consistent behavior in SQL query generation regardless of user input, the 'custom_instructions' field in the semantic model YAML is the most appropriate mechanism. It allows providing unique business context and directives directly to the LLM that Cortex Analyst uses, enabling greater control over the generated SQL. Option A (verified queries) is good for specific questions but would require an exhaustive and potentially unmanageable list to cover *all* user inputs for general rules. Option C (logical table-level filters) can apply 'WHERES' clauses but doesn't inherently enforce a specific date format across all date columns consistently without further explicit definition for each time dimension, and the source doesn't detail a filter mechanism for global date format enforcement. Option D ('task_description' in "CLASSIFY _ TEXT) is for task-specific classification and not for controlling SQL generation by Cortex Analyst. Option E (custom UDFs for post- processing) is an external step to Cortex Analyst's core text-to-SQL generation and adds unnecessary complexity, losing the benefit of Cortex Analyst's managed nature, and is not a direct configuration *within* Cortex Analyst to influence SQL generation.