MB-910 Describe Dynamics 365 Sales Practice Question
Exhibit
Refer to the exhibit.
```json
{
"name": "Opportunity Scoring Model",
"entity": "opportunity",
"attributes": [
{"name": "estimatedvalue", "weight": 0.4},
{"name": "probability", "weight": 0.3},
{"name": "createdon", "weight": 0.2},
{"name": "ownerid", "weight": 0.1}
],
"scoring": {
"method": "weighted",
"normalization": "min-max"
}
}
```The exhibit shows a configuration for predictive scoring. A sales rep notices that opportunities with very high estimated values are always scored highest regardless of low probability. What is the most likely cause?
⚠ Common exam trap
A common mix-up: candidates assume the probability weight must be too low, but the real issue is the disproportionate weight on estimatedvalue (0.4) relative to other attributes, which directly causes the described behavior.
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
✓
The estimatedvalue weight of 0.4 overemphasizes revenue
The estimatedvalue weight of 0.4 is the highest single weight in the predictive scoring model, causing revenue to dominate the score. Even when probability is low, the high estimated value overrides other factors, leading to opportunities with very high estimated values always scoring highest. This imbalance means the model is not properly normalizing the influence of revenue versus likelihood of close.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The normalization method is incorrect
Why it's wrong here
Min-max normalization is standard; the issue is weight distribution.
- ✗
The createdon weight of 0.2 is too high
Why it's wrong here
Createdon weight is low and not the cause.
- ✓
The estimatedvalue weight of 0.4 overemphasizes revenue
Why this is correct
The highest weight on estimatedvalue causes high-value opportunities to dominate.
- ✗
The probability weight is too low
Why it's wrong here
Probability weight is 0.3, still significant but not dominant.
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