A sales organization wants to use predictive scoring for opportunities. The admin has enabled opportunity scoring and trained the model. However, the sales team notices that the opportunity score is not displayed on the opportunity form. What should the admin do to make the score visible?

Ask users to refresh their browser cache.

Re-train the model with more historical data.

Add the score field to the opportunity form layout.

Enable the 'Show score' setting in the opportunity scoring configuration.

An administrator needs to configure which fields are required when a salesperson moves an opportunity to the next stage. Where should this be configured?

In the sales settings for opportunity

In the business process flow designer

In the opportunity form properties

A company has a predictive lead scoring model that has been in production for six months. The model's accuracy is acceptable, but the sales team wants to increase the number of leads they follow up on by focusing on a broader set of high-scoring leads. They want to adjust the model to be more inclusive. What should you do?

Retrain the model with more data to improve its accuracy, which will naturally include more leads.

Add more attributes to the model to capture a wider range of lead characteristics.

Adjust the model's threshold for what is considered a high score, so more leads are included in the high-priority category.

Manually increase the scores of leads that are just below the threshold.

A company has a custom predictive lead scoring model that is performing well, but the sales team wants to understand why certain leads receive high scores. They need to explain the scoring to prospects and internal stakeholders. What should you do?

Provide the sales team with the model's formula so they can calculate scores manually.

Enable the model's interpretability features to show the top attributes that influenced the score for each lead.

Ask the AI model to generate a natural language explanation for each score.

Create a report that lists all leads with their scores and the sales team can infer the reasons.

A sales manager wants to evaluate whether the predictive lead scoring model is performing well. The model's AUC is 0.72. The manager asks the admin what this value means. Which explanation is accurate?

The model correctly predicts 72% of all leads that will convert.

The model is 72% accurate in classifying leads as qualified or not qualified.

The model has a 72% chance of ranking a randomly chosen converted lead higher than a randomly chosen non-converted lead.

The model will score 72% of leads above the threshold.

Microsoft Certified:Dynamics 365 Sales AI Consultant Associate

Domain 3Objective 1

Generate and Nurture Leads AB-210 Practice Questions (Page 6)

Part of the Qualify and prioritize leads by using AI domain, which accounts for 15–20% of the AB-210 exam. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~8–16 in this domain), expect 4–8 from this objective — we provide 32 practice questions to prepare you well beyond it. (estimate)

32questions here

7free pages

5concepts

15–20%of the exam

Questions 26–30

26application · medium
A sales organization wants to use predictive scoring for opportunities. The admin has enabled opportunity scoring and trained the model. However, the sales team notices that the opportunity score is not displayed on the opportunity form. What should the admin do to make the score visible?
Select an answer first
27foundation · easy
An administrator needs to configure which fields are required when a salesperson moves an opportunity to the next stage. Where should this be configured?
Select an answer first
28expert · medium
A company has a predictive lead scoring model that has been in production for six months. The model's accuracy is acceptable, but the sales team wants to increase the number of leads they follow up on by focusing on a broader set of high-scoring leads. They want to adjust the model to be more inclusive. What should you do?
Select an answer first
29expert · medium
A company has a custom predictive lead scoring model that is performing well, but the sales team wants to understand why certain leads receive high scores. They need to explain the scoring to prospects and internal stakeholders. What should you do?
Select an answer first
30application · medium
A sales manager wants to evaluate whether the predictive lead scoring model is performing well. The model's AUC is 0.72. The manager asks the admin what this value means. Which explanation is accurate?
Select an answer first

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