AWS Certified AI Practitioner (AIF-C01) — Question 8

A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?

Answer options

• A. Code for model training
• B. Partial dependence plots (PDPs)
• C. Sample data for training
• D. Model convergence tables

Correct answer: B

Explanation

Partial dependence plots (PDPs) are effective tools for illustrating how features influence model predictions, thereby enhancing transparency and explainability to stakeholders. In contrast, code for model training, sample data for training, and model convergence tables do not provide the same level of insight into how the model operates and makes decisions.