Option A is correct. Snowflake's privacy principles state that your Usage and Customer Data (including inputs and outputs for fine- tuning) are NOT used to train, re-train, or fine-tune Models made available to others. Option B is correct. Fine-tuned models built using your data can only be used by you, ensuring exclusivity. Option C is correct. Models generated with Cortex Fine-tuning (specifically of the type) can be shared using Data Sharing. Option D is incorrect. While Cortex Fine-Tuned LLMs appear in the Model Registry's Snowsight UI, they are *not* managed by the Model Registry API. Option E is incorrect. Cortex Fine-tuning is described as a 'fully managed service' within Snowflake, which abstracts away much of the underlying infrastructure management like GPU resources, although a warehouse is selected for the job. Explicit provisioning and management of compute pools with GPUs is more characteristic of Snowpark Container Services for custom models.