Free GARP RAI Exam Questions

Become GARP Certified with updated RAI exam questions and correct answers

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Total 330 Questions | Updated On: Mar 20, 2026
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Question 1

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?


Answer: B
Question 2

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


Answer: C
Question 3

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?


Answer: D
Question 4

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?


Answer: C
Question 5

Which of the following scenarios represents a binary classification problem?


Answer: C
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Total 330 Questions | Updated On: Mar 20, 2026
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