A data engineering team is building an automated pipeline in Snowflake to process customer reviews. They need to use AI_COMPLETE to extract specific details like product, sentiment, and issue type, and store them in a strictly defined JSON format for seamless downstream integration. They aim to maximize the accuracy of the structured output and manage potential model limitations. Which statements accurately reflect the best practices and characteristics when using AI_COMPLETE with structured outputs for this scenario?

Correct Answer: B,C,E
Option A is incorrect because Structured Outputs do not incur additional compute cost for the overhead of verifying each AI_COMPLETE token against the supplied JSON schema, though the number of tokens processed (and thus billed) can increase with schema complexity. Option B is correct because for complex reasoning tasks, it is recommended to use the most powerful models and explicitly add 'Respond in JSON' to the prompt to optimize accuracy. Option C is correct as for OpenAI (GPT) models, the schema has specific requirements: response_format must be set to in every node, and the required field must include the names of every property in the schema. Option D additional Properties false is incorrect because AI_COMPLETE verifies each generated token against the JSON schema to ensure conformity, and if the model cannot generate a response that matches the schema, it will result in a validation error. Option E is correct as setting the option to e is recommended for temperature the most consistent results, regardless of the task or model, especially for structured outputs.