AWS Certified AI Practitioner (AIF-C01) — Question 238

A company wants to develop an interpretable ML model to assess the risk of loan applications.

Which type of ML model or algorithm will meet these requirements?

Answer options

• A. Deep learning model
• B. Logistic regression model
• C. K-means algorithm
• D. Random cut forest algorithm

Correct answer: B

Explanation

The logistic regression model is preferred for its interpretability, allowing stakeholders to understand how input features influence loan risk. In contrast, deep learning models are often considered black boxes, K-means is a clustering algorithm, and random cut forest is primarily used for anomaly detection, making them unsuitable for this specific requirement.