IAPP Artificial Intelligence Governance Professional (AIGP) — Question 59

In the machine learning context, feature engineering is the process of:

Answer options

• A. Converting raw data into clean data.
• B. Creating learning schema for a model to apply.
• C. Developing guidelines to train and test a model.
• D. Extracting attributes and variables from raw data.

Correct answer: D

Explanation

The correct answer, D, highlights the essence of feature engineering, which involves identifying and extracting relevant attributes from raw data to improve model performance. Options A, B, and C describe related but distinct processes, such as data cleaning, model design, and training protocols, rather than the specific focus of feature engineering.