Free GARP RAI Exam Questions
Absolute Free RAI Exam Practice for Comprehensive Preparation
-
GARP RAI Exam Questions
-
Provided By: GARP
- Exam: Risk and AI (RAI)
- Certification: GARP Certification
-
Total Questions: 320
-
Updated On: Mar 06, 2025
-
Rated: 4.9 |
-
Online Users: 640
-
Question 1
-
What is a primary reason to remove duplicate observations during data cleaning?
Answer: B
-
What is a primary reason to remove duplicate observations during data cleaning?
-
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?
Answer: B
-
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?
-
Question 3
-
A retail bank uses self-training to classify loan applicants as high or low risk, but it finds that updating the model after each new labeled data point is computationally intensive. Which approach can the bank use to reduce this burden?
Answer: A
-
A retail bank uses self-training to classify loan applicants as high or low risk, but it finds that updating the model after each new labeled data point is computationally intensive. Which approach can the bank use to reduce this burden?
-
Question 4
-
Which type of risk might an organization face if an AI algorithm breaches individual privacy or yields biased results?
Answer: C
-
Which type of risk might an organization face if an AI algorithm breaches individual privacy or yields biased results?
-
Question 5
-
A financial services firm is using a neural network with multiple hidden layers to predict the likelihood of loan default (binary classification). They find that the model isn’t learning well with the logistic activation function in the hidden layers. Which activation function should they consider switching to improve learning?
Answer: B
-
A financial services firm is using a neural network with multiple hidden layers to predict the likelihood of loan default (binary classification). They find that the model isn’t learning well with the logistic activation function in the hidden layers. Which activation function should they consider switching to improve learning?