Free GARP RAI Exam Questions

Become GARP Certified with updated RAI exam questions and correct answers

Page: 1 / 66

Total 330 Questions | Updated On: Jun 16, 2026

Add To Cart

Question 1

In an effort to understand why certain loan applications were denied, a bank deploys LIME (local interpretable model-agnostic explanations). What is the primary advantage of using LIME?

A : LIME trains a new model for each decision made by the AI

B : LIME provides an approximate explanation of a complex model’s behavior in a local context

C : LIME permanently alters the original model to make it interpretable

D : LIME identifies the most accurate model among several candidates

Answer: B

Question 2

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 3

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 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 financial institution is developing a credit risk model using a machine learning algorithm. The data science team decides to split their dataset into three parts: training, validation, and test sets. What is the primary purpose of the validation set in this setup?

A : To finalize the model by evaluating it on unseen data

B : To select the best performing model among multiple algorithms

C : To adjust model parameters to fit the training data

D : To test the model’s performance under different scenarios

Answer: B

Page: 1 / 66

Total 330 Questions | Updated On: Jun 16, 2026

Add To Cart