Question 1

Organizations implementing fairness in AI systems should enforce which measures? (Select TWO)

Options :

A : Using the same fairness metric for all AI systems

B : Multi-metric fairness evaluation covering individual and group fairness dimensions

C : Optimizing for perfect demographic parity in all cases

D : Regular fairness audits by diverse stakeholder groups including affected communities

Answer: B,D

Question 2

Organizations employing data scientists should implement which security measures? (Select TWO)

Options :

A : Activity baselines with behavioral analytics to detect anomalous data access patterns

B : Providing unlimited computational resources to speed up analysis

C : Requiring PhD degrees for all data scientist positions

D : Mandatory collaboration requirements preventing solo work on sensitive datasets

Answer: A,D

Question 3

A cybersecurity engineer is testing a chatbot based on a large language model (LLM). The chatbot reveals sensitive internal policies when prompted with indirect questions. Which OWASP LLM Top 10 vulnerability does this scenario represent?

Options :

A : Insecure Output Handling

B : Training Data Poisoning

C : Model Denial of Service

D : Prompt Injection

Answer: A

Question 4

An AI security analyst is tasked with documenting a new vulnerability in a machine learning model that allows data reconstruction from model outputs. To ensure this is standardized and globally referenced, which initiative should the analyst coordinate with?

Options :

A : CVE AI Working Group

B : OWASP LLM Top 10

C : NIST AI RMF

D : MITRE ATLAS

Answer: A

Question 5

An enterprise uses AI in its CI/CD workflow to simulate various input data scenarios and evaluate how updated ML models respond compared to the baseline model. Which two testing types are combined in this process?

Options :

A : Load testing

B : Penetration testing

C : Model testing

D : Regression testing

Answer: C,D

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