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 08, 2026

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Question 1

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?

A : It cannot adapt to new demand patterns over time.

B : It requires high amounts of labeled data for training.

C : It may initially perform poorly as it learns from trial-and-error.

D : It only works for supervised learning tasks.

Answer: C

Question 2

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 3

A financial institution is creating a model inventory. Which of the following should be included to ensure comprehensive governance?

A : Only the model’s purpose and validation report.

B : Model owner, but not developer information, for clarity.

C : A description of model assumptions but not its risk classification.

D : Model owner, purpose, methodology, assumptions, limitations, and risk tier.

Answer: D

Question 4

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

A : Existential risk

B : Operational risk

C : Reputational and regulatory risk

D : Environmental risk

Answer: C

Question 5

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?

A : The model will overfit the data

B : The model will be underfit, as coefficients are heavily penalized

C : The model will become equivalent to OLS regression

D : The model will ignore the penalty term entirely

Answer: B

Page: 1 / 66

Total 330 Questions | Updated On: Mar 08, 2026

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