Option A is incorrect because vector similarity functions, including

incur token-based costs. Option B is correct. Snowflake recommends executing queries that call Cortex AI SQL functions, which includes vector similarity functions, with a smaller warehouse (no larger than MEDIUM) because larger warehouses do not increase performance for these functions. Option C is incorrect. While cross-region inference involves data movement, the documentation states that user inputs, service generated prompts, and outputs are not stored or cached during cross-region inference. The cost is based on tokens or pages processed, and there's no mention of additional explicit data transfer charges for the function call itself for cross-region inference, only latency considerations. Option D is incorrect. Vector similarity functions do not incur token-based costs. Option E is correct. For