Free GARP RAI Exam Questions

A company wants to apply reinforcement learning to manage its warehouse inventory, learning when to restock based on demand fluctuations. What is a potential drawback of using reinforcement learning in this scenario?

A financial services firm is using a neural network with multiple hidden layers to predict the likelihood of loan default (binary classification). They find that the model isn’t learning well with the logistic activation function in the hidden layers. Which activation function should they consider switching to improve learning?

A bank is developing its model risk governance framework to address ML/AI models. What foundational approach should the bank take?

Which term best describes a dataset that includes a mix of organized, structured financial data and unstructured text data from customer reviews?

A data scientist is tuning the ridge regression model’s hyperparameter, λ, to control the trade-off between model fit and complexity. If λ is set too high, what effect is most likely?