MB-910 Describe Dynamics 365 Sales Practice Question
Which TWO data types are used by Dynamics 365 Sales to calculate a predictive score for an opportunity? (Choose two.)
⚠ Common exam trap
A common mix-up: candidates confuse 'predictive scoring' with 'lead scoring' or assume external data (like social sentiment or competitor data) is used, when in fact Dynamics 365 Sales predictive scoring relies solely on internal historical and real-time activity data.
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
✓
Real-time activity data
Dynamics 365 Sales uses real-time activity data (e.g., emails, meetings, and calls logged against the opportunity) to capture current engagement signals, which are critical for calculating a predictive score. Historical opportunity data (e.g., win/loss rates, deal size, and duration) provides the baseline patterns that the machine learning model learns from to forecast the likelihood of closing a deal.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Real-time activity data
Why this is correct
Recent customer interactions influence score.
- ✗
Product catalog details
Why it's wrong here
Not used for scoring.
- ✗
Social media sentiment
Why it's wrong here
Not part of predictive scoring.
- ✗
Competitor price lists
Why it's wrong here
Not used.
- ✓
Historical opportunity data
Why this is correct
Past win/loss data is used.
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