AWS Certified AI Practitioner (AIF-C01) — Question 42

A company is building an application that needs to generate synthetic data that is based on existing data.
Which type of model can the company use to meet this requirement?

Answer options

• A. Generative adversarial network (GAN)
• B. XGBoost
• C. Residual neural network
• D. WaveNet

Correct answer: A

Explanation

A Generative adversarial network (GAN) is specifically designed for generating synthetic data similar to existing datasets, making it the best choice. XGBoost, a boosting algorithm, is not intended for data generation; it focuses on predictive analytics. Similarly, a Residual neural network and WaveNet are not primarily used for generating synthetic data, but rather for specific tasks like image classification and audio generation, respectively.