AAISM · Question #69
AAISM Question #69: Real Exam Question with Answer & Explanation
The correct answer is D: Monitoring model performance metrics during failover and recovery to assess system stability. Business continuity and disaster recovery (BC/DR) exercises for AI must validate that critical AI components (feature stores, model registries, inference services, pipelines) operate within agreed recovery objectives during failover and restoration. Monitoring and evaluating mode
Question
Which of the following BEST ensures AI components are validated as part of disaster recovery testing?
Options
- ADisconnecting primary model training clusters to test retraining workflow during extended outages
- BSimulating denial of service (DoS) attacks against AI APIs to evaluate detection capabilities
- CRunning simulated data loss scenarios by erasing test records from the AI system's feature store
- DMonitoring model performance metrics during failover and recovery to assess system stability
Explanation
Business continuity and disaster recovery (BC/DR) exercises for AI must validate that critical AI components (feature stores, model registries, inference services, pipelines) operate within agreed recovery objectives during failover and restoration. Monitoring and evaluating model performance and stability during DR tests provides objective evidence that AI services remain functional, accurate, and reliable under contingency conditions, thereby validating the AI stack end-to-end.
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