Free GARP RAI Exam Questions

While using Naïve Bayes for text classification, a bank wants to classify customer feedback as “Good” or “Bad.” How does the model handle the probability of classifying feedback with words it hasn’t encountered?

A social media platform’s content recommendation algorithm repeatedly suggests similar content to users based on previous interactions, creating a feedback loop that reinforces certain perspectives. What type of algorithmic bias does this illustrate?

A game developer uses a multi-arm bandit model to recommend different in-game offers to players. The model tracks which offers players respond to and adjusts future recommendations accordingly. In MAB terms, what is the purpose of the "policy" in this context?

During training, an RNN model used for forecasting exhibits extremely high gradients at certain steps, causing instability in learning. Which of the following best describes this problem?

In cost complexity pruning, a bank uses a parameter, α, to balance the residual sum of squares (RSS) and the number of terminal nodes. What is the primary role of this parameter?