MB-910 Describe Dynamics 365 Sales Practice Question
A sales team is struggling with low conversion rates from leads to opportunities. They want to use historical data to identify which lead attributes are most predictive of conversion. Which feature should they use?
⚠ Common exam trap
Candidates often confuse Predictive Lead Scoring with Lead Management (A), thinking that managing leads inherently includes prediction, but Lead Management is a manual or automated workflow process without machine learning-based scoring.
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
Predictive Lead Scoring (B) uses historical data and machine learning to analyze lead attributes (e.g., industry, company size, engagement) and calculate a score indicating the likelihood of conversion. This directly addresses the need to identify which attributes are most predictive, enabling the sales team to prioritize high-potential leads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Lead Management
Why it's wrong here
Lead Management is a broad process.
- ✓
Predictive Lead Scoring
Why this is correct
It uses historical data to score leads based on attributes.
- ✗
Sales Sequence Designer
Why it's wrong here
It automates activities, not scoring.
- ✗
Relationship Intelligence
Why it's wrong here
It provides insights but not predictive scoring.
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