Integrate GRC into AI Projects CY0-001 Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   Which of the following is an example of an ethical risk associated with AI systems?

   • AHigh computational cost of model training
   • BSlow inference speed in production
   • CLack of sufficient storage capacity
   • DBias in training data leading to unfair outcomes
   Reveal Solution Discussion Select an answer first
2. 27application · medium

   A bank has deployed an AI system for fraud detection. The model's performance has degraded over time due to changing fraud patterns. The GRC team wants to ensure the model remains effective and compliant. Which action should they take?

   • ADocument the performance degradation and continue using the model.
   • BReplace the model with a rule-based system to avoid drift.
   • CSet a fixed schedule to retrain the model every six months regardless of performance.
   • DImplement automated monitoring to detect model drift and trigger retraining when needed.
   Reveal Solution Discussion Select an answer first
4. 28application · medium

   A city government is planning to deploy an AI system for predictive policing. Community groups have expressed concerns about potential bias and lack of transparency. Which stakeholder engagement approach best addresses these concerns?

   • AShare only the final model's accuracy metrics with the public.
   • BLimit stakeholder input to internal law enforcement experts.
   • CHold public forums and publish an impact assessment report before deployment.
   • DProceed with deployment and issue a press release after the system is live.
   Reveal Solution Discussion Select an answer first
5. 29expert · hard

   A healthcare AI system has been deployed for two years. The GRC team notices that the model's accuracy has declined for certain demographic groups, raising concerns about bias. The team must address this while ensuring the system remains available for clinical use. Which action should they take?

   • AImmediately take the system offline for a full audit.
   • BReplace the AI system with a manual review process.
   • CRetrain the model with updated data and implement ongoing bias monitoring.
   • DContinue using the system and document the bias as a known limitation.
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6. 30foundation · easy

   Why is stakeholder engagement important in AI GRC?

   • AIt helps ensure transparency and accountability in AI governance
   • BIt eliminates the need for technical experts
   • CIt guarantees that all stakeholders agree on every decision
   • DIt speeds up the AI development process by reducing oversight
   Reveal Solution Discussion Select an answer first