A credit team wants a score estimating likelihood a case needs specialist review, based on historical Dataverse features, displayed in the agent before escalation. Which capability fits better than generative answers alone?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Prediction models learn from labeled history to output a risk score; generative answers summarize documents. Don't use a FAQ bot when you need a trained score.
Full explanation below image
Full Explanation
AI Builder prediction models address structured ML scoring scenarios. Generative answers address language Q&A over content. The exam expects distinguishing these.
Option A is correct.
Options B–D do not produce a valid predictive score from historical features.
Exam tip: Classification/prediction → AI Builder; document Q&A → generative answers + knowledge.