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 26, 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 Board of Directors at a global tech firm is considering developing a data-collection AI that could enhance user experience but involves intrusive tracking. According to rule consequentialism, how should they decide?

A : Approve the AI if it increases company revenue and shareholder value

B : Approve the AI if it adheres to rules that generally maximize trust and benefit users

C : Reject the AI if it does not comply with all regional data privacy laws

D : Reject the AI as it could potentially reduce the number of future data projects

Answer: B

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?

A : It assigns zero probability to the class if a new word is present.

B : It ignores the new word in classification.

C : It calculates probabilities based on prior data alone.

D : It smooths probabilities to avoid zero probabilities.

Answer: D

Question 4

A tech firm is developing a model to predict credit risk and wants to reduce testing bias while still evaluating performance. Which approach should it use?

A : Conduct black-box testing to assess functionality without internal bias.

B : Focus solely on white-box testing for thorough code analysis.

C : Rely on artificial test cases for full test coverage.

D : Avoid testing until after model deployment to prevent interruptions.

Answer: A

Question 5

A financial institution is implementing an AI model that uses proxies for loan approval decisions. Which of the following is a potential risk associated with using proxies?

A : Proxies might result in simplified metrics that don’t align with the actual objective.

B : Proxies require extensive computational resources.

C : Proxies ensure a direct alignment with the model’s intended objective.

D : Proxies make the model fully explainable to external auditors.

Answer: A

Page: 1 / 66

Total 330 Questions | Updated On: Mar 26, 2026

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