Q73 — AWS AIF-C01 Ch.2

Question 73 of 100 | ← Chapter 2

A company is developing an ML model that requires explainability—i.e., understanding why a particular prediction was made. Which development phase supports implementing explainability techniques?

• A. Data preprocessing
• B. Model training
• C. Feature engineering
• D. Model evaluation ✓

Correct Answer: D. Model evaluation

Explanation

During ML model development, the model evaluation phase is a critical step—not only for assessing model performance but also for supporting the implementation of explainability techniques. In this phase, developers can apply explainability methods (e.g., SHAP, LIME) to interpret the model’s internal mechanisms and clarify individual predictions, thereby fulfilling business stakeholders’ need to understand model decisions. Therefore, option D, 'Model evaluation', is the development phase that supports implementing explainability techniques.