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MB-910 Lead scoring model Practice Question

Exhibit

Refer to the exhibit.
```json
{
  "salesInsightsSettings": {
    "leadScoring": {
      "model": "PredictiveML",
      "status": "Active",
      "features": [
        {"name": "CompanySize", "weight": 0.3},
        {"name": "Industry", "weight": 0.2},
        {"name": "EmailEngagement", "weight": 0.5}
      ]
    }
  }
}
```

A sales operations admin reviews this configuration. Which change would most improve lead prioritization based on recent interaction?

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

✓

Add a feature 'DaysSinceLastEmail' with weight 0.3

Adding a 'DaysSinceLastEmail' feature with weight 0.3 directly captures recency of interaction, which is the goal of improving lead prioritization based on recent interactions. Option A is wrong because deactivating the model would stop scoring entirely. Option B is wrong because increasing the weight of EmailEngagement (already at 0.5) would not add recency information. Option C is wrong because CompanySize is a firmographic attribute, not an interaction-based factor.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
Change model status to 'Inactive'
Why it's wrong here
Deactivating the model would stop lead scoring, not improve prioritization.
✗
Increase weight of EmailEngagement to 0.7
Why it's wrong here
EmailEngagement already has a high weight (0.5); increasing it further does not introduce recency information.
✗
Increase weight of CompanySize to 0.4
Why it's wrong here
CompanySize is a firmographic attribute, not based on recent interactions.
✓
Add a feature 'DaysSinceLastEmail' with weight 0.3
Why this is correct
Adding a 'DaysSinceLastEmail' feature with weight 0.3 directly captures recency of email interaction, improving prioritization based on recent contact.

Go deeper

MB-910 Lead scoring model Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

Related to this question