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: Jan 28, 2026

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Question 1

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

Question 2

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 3

A tech firm is evaluating different models for an NLP project requiring high computational efficiency and parallel processing. Why might transformers be more suitable than RNNs for this task?

A : They use contextual embeddings

B : They are sequence-dependent

C : They allow for parallel processing

D : They rely on sequence ordering

Answer: C

Question 4

You are given the following feature vector and statistical parameters:Feature Vector: [1, 3.6, 9, 10]Mean: 5Variance: 2.89What is the standardized feature vector?

A : [−2.35,−0.82, 2.35, 2.94]

B : [−2.34,−0.81, 1.81, 1.97]

C : [−1.81,−0.81, 2.34, 2.76]

D : [−2.34,−0.81, 2.34, 3.76]

Answer: A

Question 5

A trading firm uses reinforcement learning to determine the best time to buy or sell an asset. They have partial information about the state transitions and aim to maximize long-term profits by identifying the best action in each state. Which reinforcement learning approach is most suitable for this scenario?

A : Model-based approach

B : Policy gradient

C : Value-based approach

D : Supervised learning

Answer: C

Page: 1 / 66

Total 330 Questions | Updated On: Jan 28, 2026

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