Q63 — AWS AIF-C01 Ch.1

Question 63 of 100 | ← Chapter 1

A company maintains a multi-terabyte database for business analytics. It wants to build a generative AI application that generates SQL queries from natural-language input provided by employees who have minimal technical expertise. Which solution satisfies these requirements?

• A. Generative Pre-trained Transformer (GPT) ✓
• B. Residual Neural Network
• C. Support Vector Machine
• D. WaveNet

Correct Answer: A. Generative Pre-trained Transformer (GPT)

Explanation

This question tests suitability of AI architectures for natural-language-to-SQL translation. GPT models excel at understanding and generating structured code from plain-text prompts, requiring minimal technical input from end users. Residual Neural Networks (Option B) and Support Vector Machines (Option C) lack native language generation capability and require heavy feature engineering. WaveNet (Option D) is an audio synthesis model—unsuitable for SQL generation. Therefore, Option A—GPT—is the only viable, low-friction solution for non-technical users.