Free GARP RAI Exam Questions
Absolute Free RAI Exam Practice for Comprehensive Preparation
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GARP RAI Exam Questions
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Provided By: GARP
- Exam: Risk and AI (RAI)
- Certification: GARP Certification
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Total Questions: 330
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Updated On: Jan 13, 2026
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Rated: 4.9 |
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Online Users: 660
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Question 1
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An admissions committee decides to incorporate a measure of resilience alongside grades in its AI-based selection criteria. Which challenge is the committee likely to face with this approach to individual fairnes
Answer: A
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An admissions committee decides to incorporate a measure of resilience alongside grades in its AI-based selection criteria. Which challenge is the committee likely to face with this approach to individual fairnes
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Question 2
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An insurance firm uses a predictive model to detect fraud. In the interest of balancing sensitivity and specificity, which of the following challenges might the firm face?
Answer: A
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An insurance firm uses a predictive model to detect fraud. In the interest of balancing sensitivity and specificity, which of the following challenges might the firm face?
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Question 3
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A portfolio manager is using reinforcement learning to maximize returns over time. To evaluate each policy, he wants to calculate the long-term value of returns using the Bellman equation, considering both immediate rewards and discounted future rewards. Which function does he use to achieve this?
Answer: C
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A portfolio manager is using reinforcement learning to maximize returns over time. To evaluate each policy, he wants to calculate the long-term value of returns using the Bellman equation, considering both immediate rewards and discounted future rewards. Which function does he use to achieve this?
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Question 4
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A government agency uses an AI system to determine eligibility for welfare benefits but faces public concerns about fairness due to its black-box nature. What is the best step to increase transparency?
Answer: B
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A government agency uses an AI system to determine eligibility for welfare benefits but faces public concerns about fairness due to its black-box nature. What is the best step to increase transparency?
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Question 5
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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?
Answer: C
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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?