Free GARP RAI Exam Questions

A financial institution is developing a credit risk model using a machine learning algorithm. The data science team decides to split their dataset into three parts: training, validation, and test sets. What is the primary purpose of the validation set in this setup?

In an effort to understand why certain loan applications were denied, a bank deploys LIME (local interpretable model-agnostic explanations). What is the primary advantage of using LIME?

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

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

Which type of risk might an organization face if an AI algorithm breaches individual privacy or yields biased results?