A compliance team needs to share a standardized summary of a credit risk model's purpose, performance characteristics, and risk profile with business stakeholders who lack access to the full governance platform. What does watsonx.governance generate for this purpose?

Model cards in watsonx.governance are auto-generated documents derived from AI Factsheet data that provide a concise, readable summary of a model's intended use, performance metrics, training data, known limitations, and risk level. They serve as a bridge between the detailed technical Factsheet and business stakeholders who need model transparency without accessing the full governance platform. Generating model cards from Factsheets ensures the summary content is always consistent with the underlying governance record and does not require additional manual documentation effort. The correct answer, "A model card generated from AI Factsheet data that provides a concise model summary", directly addresses the scenario described because it aligns with the specific governance requirement in question. The incorrect options ("A compliance accelerator report listing all applicable regulatory controls and their completion status", "A risk scorecard PDF exported from the model risk assessment module", "A governance workflow summary email automatically sent when the approval workflow closes") 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.