Q53 — AWS AIF-C01 Ch.2
Question 53 of 100 | ← Chapter 2
A company has terabytes of data in its database available for business analytics. It wants to build an AI-powered application that generates SQL queries based on natural-language text input from employees who have very limited technical expertise. Which solution meets this requirement?
- 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 understanding of AI technology applicability. Generating SQL queries from natural-language text—especially for non-technical users—requires strong language understanding and generation capability. Generative Pre-trained Transformers (GPT) excel at this due to their architecture and pre-training on vast text corpora. Residual Neural Networks, Support Vector Machines, and WaveNet are not designed for natural-language-to-code translation tasks. Therefore, option A is the correct solution.