AWS Certified AI Practitioner (AIF-C01) — Question 95

A company wants to build a lead prioritization application for its employees to contact potential customers. The application must give employees the ability to view and adjust the weights assigned to different variables in the model based on domain knowledge and expertise.

Which ML model type meets these requirements?

Answer options

• A. Logistic regression model
• B. Deep learning model built on principal components
• C. K-nearest neighbors (k-NN) model
• D. Neural network

Correct answer: A

Explanation

The logistic regression model is suitable because it allows for easy interpretation and adjustment of feature weights based on user input. In contrast, deep learning models and neural networks are generally more complex and less interpretable, making it difficult for employees to adjust weights directly. K-nearest neighbors (k-NN) does not involve weight adjustments in the same way, focusing instead on distance metrics for classification.