A model governance team wants Watson OpenScale to generate an alert whenever a monitored model's fairness metric falls below 80%. Where must this threshold be configured?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Think of it this way: in real-world AI governance, watson openscale → subscription → alert thresholds within the fairness monitor configuration for the specific model is exactly what teams reach for when they need to handle this scenario. Watson OpenScale allows administrators to configure alert thresholds on a per-monitor per-subscription basis. On the exam, remember that this falls squarely under the 3.0 Configure watsonx.governance domain.
Full explanation below image
Full Explanation
Watson OpenScale allows administrators to configure alert thresholds on a per-monitor per-subscription basis. Within a model's subscription, each monitor (fairness, quality, drift, explainability) has configurable lower and upper threshold bounds that determine when alerts are triggered and surface in the monitoring dashboard. The correct answer, "Watson OpenScale → Subscription → Alert Thresholds within the fairness monitor configuration for the specific model", directly addresses the scenario described because it aligns with the specific governance requirement in question. The incorrect options ("OpenPages → Questionnaires → Fairness threshold field for the AI use case", "AI Factsheets → Lifecycle Events → Threshold Trigger", "watsonx.governance General Settings → Global Monitoring Alert Defaults") may seem plausible but do not satisfy the core requirement. Understanding the distinction between these concepts is critical for IBM watsonx.governance implementations and is frequently tested in the 3.0 Configure watsonx.governance section of the certification exam.