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A data science team is fine-tuning a mistral-lb model within Snowflake Cortex using proprietary customer interaction logs. Which of the following principles and practices apply to this fine-tuning process concerning data privacy, model ownership, and subsequent inference?
Correct Answer: B,C,D
Cortex Fine-tuning is a fully managed service that lets you fine-tune popular LLMs using your data, all within Snowflake. Your Usage and Customer Data (including inputs and outputs) are NOT used to train, re-train, or fine-tune Models made available to others. Fine-tuned Models built using your data can only be used by you. Therefore, Option A is incorrect. Options B and C are correct, as the fine-tuned model is exclusive to the customer, and the process is managed within Snowflake's boundaries. Option D is also correct because models generated with Cortex Fine- tuning (CORTEX_FINETUNED type) can be shared using Data Sharing. Option E is incorrect because Cortex Fine-Tuned LLMs appear in the model registry's Snowsight UI, but are not managed by the model registry API.