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: Apr 03, 2026

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Question 1

A tech firm is developing a model to predict credit risk and wants to reduce testing bias while still evaluating performance. Which approach should it use?

A : Conduct black-box testing to assess functionality without internal bias.

B : Focus solely on white-box testing for thorough code analysis.

C : Rely on artificial test cases for full test coverage.

D : Avoid testing until after model deployment to prevent interruptions.

Answer: A

Question 2

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 3

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

A : Defining resilience as a measurable trait

B : Avoiding direct discrimination

C : Ensuring grades remain the sole basis for admissions

D : Guaranteeing equal admissions for all applicants

Answer: A

Question 4

A generative AI provider in China is designing its service to align with Chinese regulations. What is a key obligation it must meet under the Generative AI Measures?

A : Ensure all content generated is free from any factual errors.

B : Prioritize content generation for government-endorsed topics only.

C : Prevent the generation of illegal and discriminatory content, respecting privacy rights.

D : Avoid transparency in algorithm usage to maintain competitive advantage.

Answer: C

Question 5

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

Page: 1 / 66

Total 330 Questions | Updated On: Apr 03, 2026

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