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: May 12, 2025
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Rated: 4.9 |
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Online Users: 660
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Question 1
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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?
Answer: B
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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?
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Question 2
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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?
Answer: C
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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?
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Question 3
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What is a primary reason to remove duplicate observations during data cleaning?
Answer: B
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What is a primary reason to remove duplicate observations during data cleaning?
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Question 4
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A critical infrastructure provider in the U.S. wants to ensure responsible AI deployment to enhance service reliability. How should the provider proceed under guidance from the AI Safety and Security Board (AISSB)?
Answer: D
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A critical infrastructure provider in the U.S. wants to ensure responsible AI deployment to enhance service reliability. How should the provider proceed under guidance from the AI Safety and Security Board (AISSB)?
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Question 5
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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?
Answer: C
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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?