A team of data application developers is leveraging Snowflake Copilot to streamline the creation of analytical SQL queries within their Streamlit in Snowflake application. They observe that Copilot sometimes struggles with complex joins or provides suboptimal queries when dealing with a newly integrated, deeply nested dataset. Based on Snowflake's best practices and known limitations, which actions or considerations would help improve Copilot's performance in this scenario?
Correct Answer: A,C,E
To improve Snowflake Copilot's performance, creating curated views with descriptive names, appropriate data types, and capturing common/complex joins is a key best practice. Copilot can build complex queries through a conversation by asking follow-up questions. It also uses the names of databases, schemas, tables, and columns, and their data types to determine available data, so ensuring these are meaningful and correctly set for the session is crucial for relevant responses. Option B is incorrect because CORTEX_MODELS_ALLOWLIST controls access to specific LLMs but doesn't guarantee higher accuracy for Copilot's SQL generation. Option D is incorrect as Snowflake Copilot does not have access to the data inside tables; it operates on metadata. Granting privileges would not change this fundamental operational principle and is ACCOUNTADMIN against best practices for least privilege.