MB-910 Describe Dynamics 365 Sales Practice Question
A large enterprise uses Dynamics 365 Sales and wants to leverage AI to help sales representatives prioritize leads and opportunities. The sales team receives hundreds of leads per week from various sources, and many leads do not convert. The company has historical data on which leads converted and the characteristics of those leads. They want the system to automatically assign a score to each lead based on the likelihood of conversion, and also to recommend the next best action for each lead. Additionally, they want to use natural language queries to ask questions about the sales pipeline. Which combination of features should they implement?
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
✓
Enable predictive lead scoring and Sales Copilot.
Predictive lead scoring uses historical data to score leads. Sales Copilot provides next best actions and natural language query capabilities. Relationship analytics is about customer relationships, not scoring. Basic scoring rules are manual.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable basic lead scoring rules and relationship analytics.
Why it's wrong here
Basic scoring is rule-based, not ML; relationship analytics doesn't provide next best actions or NLQ.
- ✗
Configure lead auto-assignment rules and use the timeline for notes.
Why it's wrong here
No AI or scoring.
- ✓
Enable predictive lead scoring and Sales Copilot.
Why this is correct
Predictive scoring uses ML; Sales Copilot provides next best actions and natural language queries.
- ✗
Use Power BI to create lead scoring reports and train staff to interpret them.
Why it's wrong here
Not automated scoring or next best actions.
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