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

A global organization's AI image generator unintentionally produces culturally insensitive content during a marketing campaign, triggering public backlash and media criticism. Which two risks are illustrated?

Options :

A : Accidental data leakage

B : Introduction of bias

C : Operational downtime

D : Reputational loss

Answer: B,D

Question 3

An organization wants to understand how adversaries exploit machine learning models through model inversion and data poisoning. Which framework would best guide their threat analysis?

Options :

A : NIST SP 800-53

B : MIT AI Risk Repository

C : ISO 42001

D : MITRE ATLAS

Answer: D

Question 4

An organization deploys an AI engine that scans applications and identifies unpatched libraries, weak encryption methods, and insecure configurations. Which use case does this represent?

Options :

A : Code quality and linting

B : Vulnerability analysis

C : Automated penetration testing

D : Signature matching

Answer: B

Question 5

A threat intelligence system correlates IP logs, DNS requests, and dark web chatter to automatically detect coordinated cyber threats. Which two AI techniques are combined here?

Options :

A : Reconnaissance

B : Social engineering

C : Automated data correlation

D : Anomaly detection

Answer: A,C

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