Your question is LLM and Text-to-SQL. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Explain what an LLM is and how you would build a text-to-SQL system.
Discuss the model's token-based architecture, pretraining objective, inference behavior, and limitations. Then describe a practical pipeline covering schema representation, relevant-table retrieval, prompt construction or fine-tuning, SQL validation, execution safety, and evaluation. Include implementation choices, failure modes, and how you would prevent hallucinated tables, unauthorized queries, and incorrect aggregations.