A consultant is preparing to enable predictive lead scoring for a client's Dynamics 365 Sales environment for the first time. Before turning it on, the consultant needs to confirm two separate prerequisites are met. (Select TWO.) Which two should the consultant verify?
Select all correct answers, then click Submit.
Short Explanation
Turning this feature on isn't just flipping a switch. You need to confirm the licensing tier includes predictive scoring, and you need enough historical leads with won and lost outcomes for the model to learn from.
Full Explanation
The correct answers are the licensing-tier requirement and the historical-outcome requirement. Predictive lead scoring is an AI capability gated behind a licensing tier such as Microsoft Dynamics 365 Sales Premium or Enterprise, so the consultant must confirm the environment is licensed at that level before the feature can even be turned on. Separately, because the model learns by finding patterns in past outcomes, it needs a meaningful volume of historical lead records that include both won and lost results; without that history the model has nothing reliable to learn from and its early predictions will be poor. The requirement that every existing lead already carry a manually assigned Hot, Warm, or Cool grade is incorrect because predictive scoring does not require manual grading of the whole historical dataset first; grading is what the model itself will produce once trained. The requirement that Sales Accelerator be disabled is incorrect because predictive lead scoring and Sales Accelerator are not mutually exclusive; they are designed to work together, with scoring often feeding the prioritization that Sales Accelerator's work queue uses, so disabling one is not a requirement for enabling the other.