Free AWS AIF-C01 Certified AI Practitioner Actual Exam Questions - Question 1 Discussion
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?
B. PDPs really stand out because they visually break down how each feature influences the forecast, making it easier for non-technical stakeholders to grasp. Options A and C feel too technical or risky to share openly—code and raw data aren’t usually needed for transparency. D might show the training process but doesn’t explain the actual decisions the model is making, which is what matters most here.
B. Partial dependence plots give clear visuals about feature impacts, which is key for explainability. The other options either expose too much technical detail or don’t directly clarify how the model makes decisions.
B/D? PDPs are solid for showing how features affect predictions, which helps explain what’s driving forecasts. But convergence tables also give some confidence that the model actually learned well, which is part of transparency too. So including both gives a fuller picture—PDPs for explainability, convergence tables for transparency about training.
I don’t think A or C fit here since raw code and sample data might be too technical or sensitive for stakeholders. D could help show the model’s training process but isn’t really about explaining predictions. PDPs (B) specifically highlight how features affect outputs, which is exactly what you want for explainability. Plus, they’re more digestible than convergence stats, so I’d back B as well.
Probably B, PDPs give clear insights without overwhelming non-technical stakeholders.
B/D? PDPs explain feature influence; convergence tables show training quality.
Option B, PDPs show clear feature impact unlike code or raw data.
B imo, partial dependence plots help explain model behavior clearly.