Q5 — AWS AIF-C01 Ch.2

Question 5 of 100 | ← Chapter 2

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

• A. Generative Adversarial Network (GAN) ✓
• B. XGBoost
• C. Residual Neural Network (ResNet)
• D. WaveNet

Correct Answer: A. Generative Adversarial Network (GAN)

Explanation

Among the options, Generative Adversarial Networks (GANs) are deep learning models explicitly designed to generate new, realistic data samples by learning the underlying distribution of input data. This makes GANs ideal for synthesizing data from existing datasets. XGBoost is a gradient-boosted decision tree framework for tabular prediction tasks; ResNet is primarily used for image recognition; WaveNet is an autoregressive model for audio generation—not general-purpose synthetic data generation. Therefore, option A is the best choice.