Free GARP RAI Exam Questions

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 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 3

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 4

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 5

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