A company uses Dynamics 365 Sales and wants to ensure that all leads are scored using the same predictive model. Currently, some salespeople are creating leads through a custom portal, and those leads are not being scored. What should you do to ensure all leads are scored consistently?

Ask the sales team to re-enter portal leads into the CRM so they are scored.

Configure the lead scoring model to apply to all lead records regardless of source.

Create a separate scoring model for portal leads and assign it to the portal's lead entity.

Use a workflow to manually score leads created through the portal.

A sales manager wants to use predictive scoring for opportunities to help prioritize deals. They have historical opportunity data with win/loss outcomes. They want to create a model that predicts the likelihood of winning an opportunity. What should you do?

Use the lead scoring model and apply it to opportunities.

Manually score opportunities based on the sales team's judgment.

Enable the opportunity scoring feature in the system settings.

Create a new opportunity scoring model and select the historical opportunity data as training data.

A company has been using the default predictive lead scoring model, but they want to create a custom model to better reflect their unique sales process. They have sufficient historical data. However, they are concerned that the custom model may not perform as well as the default model. What should you do to mitigate this risk?

Use the default model and manually adjust scores for leads that the sales team thinks are mis-scored.

Keep the default model active and create the custom model for testing only, without activating it.

Activate the custom model immediately and monitor its performance over time.

Create the custom model and compare its evaluation metrics with the default model before activating it.

What is the primary purpose of a predictive scoring model in Dynamics 365 Sales?

To enforce data entry standards

To rank leads or opportunities based on their likelihood to convert

To calculate the revenue amount of an opportunity

To automatically create tasks for salespeople

Microsoft Certified:Dynamics 365 Sales AI Consultant Associate

Domain 3Objective 1

Generate and Nurture Leads AB-210 Practice Questions (Page 1)

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 1–5

1foundation · easy
Which metric is commonly used to evaluate the effectiveness of a predictive scoring model in Dynamics 365 Sales?
Select an answer first
2application · medium
A company uses Dynamics 365 Sales and wants to ensure that all leads are scored using the same predictive model. Currently, some salespeople are creating leads through a custom portal, and those leads are not being scored. What should you do to ensure all leads are scored consistently?
Select an answer first
3application · medium
A sales manager wants to use predictive scoring for opportunities to help prioritize deals. They have historical opportunity data with win/loss outcomes. They want to create a model that predicts the likelihood of winning an opportunity. What should you do?
Select an answer first
4expert · medium
A company has been using the default predictive lead scoring model, but they want to create a custom model to better reflect their unique sales process. They have sufficient historical data. However, they are concerned that the custom model may not perform as well as the default model. What should you do to mitigate this risk?
Select an answer first
5foundation · easy
What is the primary purpose of a predictive scoring model in Dynamics 365 Sales?
Select an answer first

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