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: Dec 16, 2025
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Question 1

A data scientist is tuning the ridge regression model’s hyperparameter, λ, to control the trade-off between model fit and complexity. If λ is set too high, what effect is most likely?


Answer: B
Question 2

A financial services firm is using a neural network with multiple hidden layers to predict the likelihood of loan default (binary classification). They find that the model isn’t learning well with the logistic activation function in the hidden layers. Which activation function should they consider switching to improve learning?


Answer: B
Question 3

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


Answer: C
Question 4

An insurance company uses two different AI models for policy approval, one for Group A and another for Group B. The confusion matrices for each group are as follows:Group A Confusion Matrix:True Positives: 50False Positives: 10False Negatives: 40True Negatives: 90Group B Confusion Matrix:True Positives: 30False Positives: 20False Negatives: 70True Negatives: 80What fairness technique should the company use to balance the performance between the two groups?


Answer: D
Question 5

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


Answer: C
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Total 330 Questions | Updated On: Dec 16, 2025
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