DSA-C03 Exam Dumps | You are tasked with fine-tuning a Snowflake Cortex LLM model using your own labeled dataset to improve

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Question 131/143

You are tasked with fine-tuning a Snowflake Cortex LLM model using your own labeled dataset to improve its performance on a specific sentiment analysis task related to customer reviews. You have already created a Snowflake stage 'my_stage' and uploaded your labeled data in CSV format to this stage. The labeled data contains two columns: 'review_text' and 'sentiment' (values: 'positive', 'negative', 'neutral'). Which of the following SQL commands, or sequences of commands, is MOST appropriate to initiate the fine-tuning process using the 'SNOWFLAKE.ML.FINETUNE LLM' function? Assume you have already set the necessary permissions for your role to access the model and stage.

A. Option A

B. Option B

C. Option C

D. Option D

E. Option E

Correct Answer: E

The correct answer is E. 'SNOWFLAKE.ML.FINETUNE LLM' function requires 'INPUT which specifies the location of the training data, 'MODEL' which is the base LLM model from Snowflake Cortex to fine-tune and 'TASK' to specify intent of fine tuning. Option D is incorrect, it adds 'parameter' which is not required. Option B is incorrect, it is adding 'target_accuracy' which is not part of the parameters. Option A and C has custom function definitions which is incorrect.

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