Exam GES-C01 Topic 1 Question 262 Discussion

Option A is correct because this SQL syntax accurately demonstrates how to create a fine-tuning job using the SNOWFLAKE.CORTEX.FINETUNE function, specifying 'CREATE', a name for the tuned model, the base model, and a SQL query for the training data with aliased columns for 'prompt' and 'completion'. Option B is correct because the training data query result must include columns named 'prompt' and 'completion' for the fine-tuning job to proceed successfully. Option C is incorrect. While Cortex Fine-Tuned LLMs appear in the Model Registry's Snowsight UI, they are explicitly noted as not being managed by the model registry API. Specifically, models generated with Cortex Fine-tuning ('CORTEX_FINETUNED) do not contain user code and can be shared using Data Sharing, but 'USER MODEL' types (models containing user code) cannot currently be shared. The statement implies that models *with* user code are shareable, which is not currently the case for all model types in the registry. Option D is correct as the compute cost for the Snowflake Cortex Fine-tuning function is based on the number of tokens used in training, which is calculated as 'number of input tokens ' number of epochs trained'. Option E is incorrect because the 'max_epochs' option in the 'options' object has a value range from 1 to 10 (inclusive), not up to 50.