MB-910 Describe Dynamics 365 Customer Insights Practice Question
Exhibit
Refer to the exhibit.
{
"prediction": {
"modelType": "custom",
"target": "Purchase",
"timeWindow": 30,
"features": [
"TotalSpend",
"DaysSinceLastPurchase",
"EmailClickRate"
],
"output": "PurchaseLikelihoodScore"
}
}A data scientist reviews the custom prediction configuration shown. The prediction output includes a score between 0 and 1. What does a score of 0.9 indicate?
⚠ Common exam trap
Candidates often confuse the prediction score (probability of the event) with model confidence or a different prediction type (like churn), because the exam often tests the precise meaning of the 0–1 scale in the context of the configured prediction model.
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
✓
High likelihood of purchase within 30 days
In Dynamics 365 Customer Insights, the custom prediction model for purchase likelihood outputs a score between 0 and 1, where a higher score indicates a greater probability of the predicted event occurring. A score of 0.9 means the model predicts a 90% probability that the customer will make a purchase within the next 30 days, representing a high likelihood of purchase.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Low likelihood of purchase within 30 days
Why it's wrong here
0.9 is high.
- ✓
High likelihood of purchase within 30 days
Why this is correct
Score near 1 indicates high probability.
- ✗
Model confidence in the prediction
Why it's wrong here
Score is likelihood, not model confidence.
- ✗
Churn risk score
Why it's wrong here
Target is purchase, not churn.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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