During a model risk assessment in watsonx.governance, a risk officer completes a structured form covering model complexity, data quality, regulatory exposure, and operational risk. The responses automatically compute a risk score. What is this process called?

Questionnaire-based risk assessments in watsonx.governance are structured forms containing questions across multiple risk dimensions such as model complexity, data quality, intended use, and regulatory sensitivity. Each response carries a weighted value, and the platform automatically aggregates responses to produce inherent risk and residual risk scores. This structured approach ensures consistent, repeatable, and auditable risk quantification across the model portfolio and provides the evidence base for governance decisions such as approval routing and monitoring intensity. The correct answer, "A questionnaire-based risk assessment that collects structured responses to calculate inherent and residual risk scores", directly addresses the scenario described because it aligns with the specific governance requirement in question. The incorrect options ("A compliance accelerator framework alignment exercise that maps regulatory requirements to the use case", "A model card review that summarizes model performance and limitations for governance stakeholders", "An AI Factsheet manual entry session capturing model metadata and intended use fields") 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 2.0 AI Lifecycle Governance section of the certification exam.