MB-910 Describe Dynamics 365 Sales Practice Question
A sales organization wants to use AI to prioritize leads that are most likely to convert. The data shows that leads from email campaigns have a higher conversion rate. What should they configure?
⚠ Common exam trap
Many exam-takers confuse AI-driven predictive scoring (D) with manual rule-based scoring (C), assuming that simply assigning points based on a single data point (email source) is sufficient, but the question explicitly asks for AI prioritization, which requires a model that learns from multiple patterns automatically.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Predictive Lead Scoring model
Predictive Lead Scoring (D) uses machine learning to analyze historical data—such as conversion rates by lead source—and automatically assign a score indicating likelihood to convert. This directly addresses the requirement to prioritize leads based on data showing email campaigns have higher conversion rates, as the model learns from that pattern without manual rules.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Copilot
Why it's wrong here
Copilot provides suggestions but does not score leads.
- ✗
Sequence
Why it's wrong here
Sequence is for sales steps, not lead prioritization.
- ✗
Manual lead scoring based on email campaign source
Why it's wrong here
Manual scoring is not AI-driven and less accurate.
- ✓
Predictive Lead Scoring model
Why this is correct
AI model that scores leads based on historical conversion data.
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