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Free AAISM – Isaca AAISM Practice Test Question

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Showing 7–9 of 9 questions

Question 7 (Topic 1)

Which of the following is the MOST effective way to detect data poisoning in generative AI models?

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  • ○ Evaluating data normalization integrity before model training
  • ○ Evaluating model outputs using external benchmarks to measure consistency
  • ○ Monitoring the frequency of anomalous patterns in the training data
  • ○ Analyzing model performance by comparing outputs before and after updates
Question 8 (Topic 1)

Which of the following is the MOST effective and secure way to prevent model attribute attacks against an organization's centralized AI system training data that includes sensitive information about individuals?

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  • ○ Monitoring the output of AI learning models continuously
  • ○ Using federated learning to train AI algorithms
  • ○ Implementing a cross-validation AI learning model
  • ○ Removing private data from AI training datasets
Question 9 (Topic 1)

Which of the following is the MOST important reason to establish AI-specific key risk indicators (KRIs)?

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  • ○ Explainability and transparency deficiencies can be more quickly identified.
  • ○ AI systems learn and change as they interact with dynamic environments.
  • ○ Continuous availability is more critical for AI systems than for traditional systems.
  • ○ KRIs help to identify potential threats that may exploit AI system vulnerabilities.