Free GARP RAI Exam Questions

Become GARP Certified with updated RAI exam questions and correct answers

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Total 320 Questions | Updated On: Jan 10, 2025
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Question 1

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?


Answer: B
Question 2

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 3

A problem-solving AI model is being developed to solve the Tower of Hanoi puzzle by systematically planning moves to achieve the final goal. The model needs to evaluate intermediate steps to clear disks strategically for future moves. Which approach would best help the model to complete this task?


Answer: B
Question 4

During an NLS optimization, the analyst uses a gradient descent algorithm to update model parameters. If the improvement in the objective function falls below a certain threshold, the optimization process stops. What is the purpose of this threshold in NLS optimization?


Answer: C
Question 5

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


Answer: A
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Total 320 Questions | Updated On: Jan 10, 2025
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