A company wants to automate the qualification of inbound leads. The sales manager wants an AI agent that can ask qualifying questions, capture responses, and create lead records in Dynamics 365. The company uses Dataverse as the data platform. What should the administrator do?

Configure a Power Automate flow triggered by a new email to create a lead.

Use the default Dynamics 365 Sales bot for lead qualification.

Create a custom copilot in Copilot Studio that uses a Dataverse connector to create leads.

Enable the lead scoring model in Sales Insights and set a qualifying score threshold.

A sales analyst wants to create a visualization that shows the distribution of deal sizes across the sales pipeline. The goal is to identify whether most deals are small, medium, or large. What visualization technique should the analyst use?

A line chart of deal sizes over time.

A scatter plot of deal size versus close date.

A company wants to implement AI-driven sales predictions and also needs to comply with data residency requirements that mandate customer data remain in a specific geographic region. They are planning their Dataverse data model. What should the AI consultant consider?

Use a global Dataverse environment and rely on data classification labels to meet residency.

Deploy Dynamics 365 Sales in a datacenter region that meets the data residency requirement, and design the Dataverse data model to store all relevant data in that environment.

Use multiple Dataverse environments in different regions and synchronize data between them.

Store all data in on-premises SQL Server and use a separate AI service in the cloud.

A multinational company is implementing Dynamics 365 Sales and needs to support multiple currencies and languages. They want to use AI-driven forecasting and also need to report on pipeline by region. The data model must be designed to handle these requirements. What should the AI consultant do?

Use the standard currency and language fields in Dataverse, and create a Power BI report that uses the currency conversion and language filters.

Store all data in a single currency and language to simplify the model.

Create separate Dataverse environments for each currency and language.

Use custom fields for currency and language and build custom AI models.

Microsoft Certified:Dynamics 365 Sales AI Consultant Associate

Domain 2Objective 1

Design an AI-first Sales Strategy AB-210 Practice Questions (Page 2)

Part of the Optimize AI-driven sales domain, which accounts for 20–25% of the AB-210 exam. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~10–20 in this domain), expect 3–7 from this objective — we provide 37 practice questions to prepare you well beyond it. (estimate)

37questions here

8free pages

6concepts

20–25%of the exam

Questions 6–10

6foundation · easy
Which Dynamics 365 Sales feature allows sellers to use natural language prompts to get insights and take actions directly within their workflow?
Select an answer first
7application · medium
A company wants to automate the qualification of inbound leads. The sales manager wants an AI agent that can ask qualifying questions, capture responses, and create lead records in Dynamics 365. The company uses Dataverse as the data platform. What should the administrator do?
Select an answer first
8application · medium
A sales analyst wants to create a visualization that shows the distribution of deal sizes across the sales pipeline. The goal is to identify whether most deals are small, medium, or large. What visualization technique should the analyst use?
Select an answer first
9expert · hard
A company wants to implement AI-driven sales predictions and also needs to comply with data residency requirements that mandate customer data remain in a specific geographic region. They are planning their Dataverse data model. What should the AI consultant consider?
Select an answer first
10expert · hard
A multinational company is implementing Dynamics 365 Sales and needs to support multiple currencies and languages. They want to use AI-driven forecasting and also need to report on pipeline by region. The data model must be designed to handle these requirements. What should the AI consultant do?
Select an answer first

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