Free GARP RAI Exam Questions

A tech firm is evaluating different models for an NLP project requiring high computational efficiency and parallel processing. Why might transformers be more suitable than RNNs for this task?

A retail bank uses self-training to classify loan applicants as high or low risk, but it finds that updating the model after each new labeled data point is computationally intensive. Which approach can the bank use to reduce this burden?

An admissions committee decides to incorporate a measure of resilience alongside grades in its AI-based selection criteria. Which challenge is the committee likely to face with this approach to individual fairnes

What is a primary reason to remove duplicate observations during data cleaning?

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?