MB-910 Describe Dynamics 365 Sales Practice Question
Exhibit
Refer to the exhibit. {
"Name": "Lead Scoring Model",
"Attributes": [
{"Attribute": "email_engagement", "Weight": 20},
{"Attribute": "job_title", "Weight": 15},
{"Attribute": "company_size", "Weight": 10},
{"Attribute": "lead_source", "Weight": 5}
],
"Scoring": "Predictive"
}Refer to the exhibit. Which attribute contributes the most to the lead score?
⚠ Common exam trap
Many candidates assume demographic or source attributes (like lead_source or company_size) are the primary scoring factors, but Microsoft emphasizes that behavioral engagement signals are the strongest predictors of conversion in predictive lead 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
✓
email_engagement
In Dynamics 365 Sales, lead scoring models assign points to attributes based on their predictive power. Email engagement (e.g., opens, clicks, replies) is typically weighted highest because it directly indicates active interest and intent, often contributing the most points to the lead score compared to static demographic fields like job title or company size.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
job_title
Why it's wrong here
Weight is 15, lower than email_engagement.
- ✗
lead_source
Why it's wrong here
Weight is 5.
- ✗
company_size
Why it's wrong here
Weight is 10.
- ✓
email_engagement
Why this is correct
Weight of 20 is the highest.
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