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: Apr 14, 2026

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Question 1

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 : Automation bias

B : Explicit bias

C : Implicit bias

D : Cognitive bias

Answer: C

Question 2

A bank is developing its model risk governance framework to address ML/AI models. What foundational approach should the bank take?

A : Create an entirely new framework specific to AI/ML.

B : Build upon its existing model risk framework while adapting to new challenges from AI/ML.

C : Exclude traditional models from the risk framework.

D : Focus solely on AI/ML ethical aspects without considering statistical issues.

Answer: B

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?

A : Tactical lookahead, as it considers each immediate move without long-term planning.

B : Strategic planning, by identifying intermediate moves that contribute to the end goal.

C : Reinforcement learning, by rewarding moves that lead to progress in the puzzle.

D : Randomized search, by exploring different moves without a predefined plan.

Answer: B

Question 4

A justice system uses an AI model to predict failure-to-appear (FTA) rates in court. To ensure fairness without explicitly using protected group data, what could be a potential unintended outcome?

A : The model underestimates FTA for all demographics

B : The model’s accuracy decreases for high-risk groups

C : The model’s reliance on correlated variables increases potential bias in predictions

D : The model achieves demographic parity but lacks predictive accuracy

Answer: C

Question 5

Which of the following scenarios represents a binary classification problem?

A : Predicting the probability of different stock prices

B : Forecasting next month’s sales in dollars

C : Determining if a transaction is fraudulent or legitimate

D : Grouping customers into three income tiers

Answer: C

Page: 1 / 66

Total 330 Questions | Updated On: Apr 14, 2026

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