ISACA Advanced in AI Security Management Practice Mode

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose D1

  Measuring the error rate (incorrect predictions vs. total predictions) is a standard way to evaluate the operational effectiveness and business value of a system over time.

• Chose D3

  Analyzing incorrect predictions vs. total predictions is essentially measuring: Error rate, or Model accuracy These are classic model performance KPIs used to evaluate whether an AI/ML model is still effective and worth keeping in production. This aligns with operational monitoring and lifecycle management—not validation, explainability, or CSA.