Microsoft Accelerating Sales Pipelines with AI in Dynamics 365 : AB-210

AB-210 real exams

Exam Code: AB-210

Exam Name: Accelerating Sales Pipelines with AI in Dynamics 365

Updated: Sep 10, 2026

Q & A: 91 Questions and Answers

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Microsoft AB-210 Exam Syllabus Topics:

SectionWeightObjectives
Optimize AI-driven sales20–25%- Sales productivity and automation enhancement
- Copilot and AI assistant capabilities in Sales
Qualify and prioritize leads using AI15–20%- Lead scoring and qualification models
- AI-driven lead prioritization workflows
Develop deals using intelligent opportunity research25–30%- Opportunity insights and forecasting
- AI-assisted deal progression strategies
Configure Dynamics 365 Sales core features for AI15–20%- Data and process setup for AI features
- Sales environment configuration
Extend and enhance Sales10–15%- Integration with Microsoft Copilot and Power Platform
- Extending Dynamics 365 Sales with AI capabilities

Microsoft Accelerating Sales Pipelines with AI in Dynamics 365 Sample Questions:

Question #1

A company wants sellers to add products to opportunities and ensure the deal value is automatically calculated.
Sales managers report that when adding products from the product catalog to Opportunities, the Price Per Unit remains at zero. This results in incorrect total calculations.
You need to ensure the estimated revenue on opportunities is correct.
Which action should you perform?

  • A. Set the Opportunity Revenue to User Provided.
  • B. Ensure the opportunity currency matches the currency used by the price list items for the products being added.
  • C. Create a discount list and attach it to the price list item.
  • D. Select a valid price list on the opportunity and verify that the product has a matching price list item for the selected unit.
Answer: D

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Question #2

An organization wants Copilot responses to include CRM information while respecting existing security permissions. What should administrators expect?

  • A. Copilot ignores security roles.
  • B. Copilot exports all customer data.
  • C. Copilot respects Dynamics 365 security permissions.
  • D. Copilot displays all CRM records.
Answer: C

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Question #3

Hotspot Question
A company plans to implement AI capabilities in Dynamics 365 Sales to automate multiple seller workflow tasks.
The company needs to assign AI capabilities that provide the following:
- Must identify contextual insights about accounts before outreach.
- Must generate overviews of opportunity activities and emails.
- Must evaluate and qualify incoming leads automatically.
You need to match the appropriate AI capability to each seller workflow task.
Which configuration should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:


Explanation:
The correct capability for identifying contextual account insights before outreach is Sales Research Agent. This agent is designed to help sellers and sales leaders gather AI-generated research about customers, prospects, and sales targets, which directly supports pre-outreach preparation and account intelligence. It is not Conversation Intelligence, because Conversation Intelligence analyzes calls and seller-customer conversations after or during interactions, not account research before outreach.
For generating an opportunity overview, the correct capability is Copilot summarization. Copilot in Dynamics 365 Sales can generate quick summaries of opportunity and lead records, including relevant activity and communication context, so sellers can quickly understand the state of a deal without manually reviewing all historical interactions.
For automating lead processing, the correct capability is Sales Qualification Agent. This agent evaluates incoming leads against qualification criteria, researches lead context, determines fit, and can qualify or disqualify leads according to configured business rules. Predictive lead scoring prioritizes leads by likelihood to convert, but it does not perform autonomous lead qualification processing. Sales Close Agent is focused on opportunity/deal execution, not lead qualification.

Question #4

Case Study 2 - Contoso Ltd
Background
Contoso Ltd. is a global technology distributor headquartered in Redmond, Washington. The company sells networking equipment, cloud infrastructure, and managed services to enterprise customers across North America and Europe.
Contoso Ltd. currently manages its sales operations by using Microsoft Dynamics 365 Sales and plans to enable Sales Insights in the future.
The leadership team wants to modernize the sales organization by introducing capabilities that help sellers prioritize leads, analyze opportunities, and accelerate deal closure.
The company has approximately 150 field sellers, 40 insider sellers, 20 sales managers, and a central IT team responsible for configuring the sales platform. Contoso Ltd.'s executive leadership has defined the following goals for the new sales platform implementation:
Improve seller productivity by reducing manual research and data entry.
Use Al insights to prioritize leads and opportunities.
Provide automated recommendations to sales representatives throughout the deal lifecycle.
Improve collaboration between sellers and sales managers.
Current Environment:
Sales platform
Contoso Ltd. uses Microsoft Dynamics 365 Sales integrated with Microsoft 365 services.
The following components are currently deployed:

Data and lead management
Leads are important for driving new business at Contoso Ltd. They are generated from multiple sources including:
- Marketing automation campaigns
- Website registrations
- Partner referrals
- Trade show contact imports
Marketing teams import lead lists weekly into Dynamics 365 Sales by using spreadsheet imports.
Sellers currently evaluate leads manually.
Sales managers report that this process results in inconsistent prioritization across regions.
Opportunity management
Opportunities are tracked in Dynamics 365 Sales through a defined qualification-to-opportunity lifecycle to ensure accurate reporting.
Sales leadership has requested the Contoso Ltd. IT team to evaluate the following capabilities:
- AI-generated summaries of opportunity records.
- AI-driven research for customer organizations.
- Automated recommendations for closing deals.
Business Requirement:
Contoso Ltd.'s executives have defined the following business requirements:
Lead management
Inside sellers must use a seller engagement workspace that prioritizes leads automatically based on predicted likelihood to convert.
All sellers are guided through a consistent set of qualification steps aligned to Contoso Ltd.'s sales strategy.
Leads cannot be advanced to the development stage until a decision maker has been confirmed.
Sales leadership requires flexibility in how leads are converted. Inside sales need automatic opportunity creation. Field sellers need the option to manually decide whether an opportunity should be created when a lead is qualified.
Lead scoring must be implemented to help sellers identify high potential leads automatically.
Lead scoring must continuously improve based on historical sales outcomes.
Opportunity development
The opportunity flow must be improved by using Al-driven research and automated insights.
Field sellers must be able to access contextual research about customers and competitors while working on opportunities.
Opportunity records must display Al-generated summaries to reduce the time required to review historical activities.
Field sellers must use the Opportunity pipeline view to visualize, prioritize, and manage opportunities.
All opportunity revenue must be calculated using opportunity line items based on selected Contoso Ltd.'s products and standard pricing.
Sales managers must receive an external quarterly competitive intelligence brief to help with their research. This should be delivered as a PDF document.
Sales performance
Sales managers require improved pipeline and revenue forecasting capabilities. The managers need to report on their business performance and use insights, visuals, and recommended next actions.
The new solution must provide the following:
- Allow sales managers to configure forecasts for opportunity pipelines.
- Notify the seller's manager when a draft quote is created and requires approval.
- Allow leadership to track performance against revenue goals.
- Ask questions about Dynamics 365 Sales data to support executive analysis and decision making.
- Support data definitions used at Contoso Ltd. when reporting.
Technical Requirement:
Contoso Ltd.'s IT department defines the following priorities for the sales platform.
AI capabilities
The platform must support the following Al features:
- Lead scoring to guide sellers to priority items.
- Opportunity research insights to prepare deal analysis.
- Copilot-generated summaries of sales records to help with decision making.
- AI-powered research and analytics to aid leadership reporting.
- When performing sales research, sales managers must be able to save their favorite prompts.
Automation
Automation must be implemented to guide sellers through recommended next steps during the sales cycle.
Any approvals must use the Power Automate Approvals connector.
Field sellers use the existing Lead to Opportunity Business Process Flow to manage their leads.
A Power Automate desktop flow is used to process orders into a partner ordering application that completes fulfillment.
Collaboration
All sellers must be able to collaborate by using Teams and store related sales documents in SharePoint.
AI-driven insights
The company is deploying the Sales accelerator to guide seller activities.
The Sales Research Agent
Sales managers will use the Sales Research Agent to gather intelligence about customer organizations.
The sales managers have the following requirements:
- Must be able to reuse visualizations after they are created; they don't want to recreate them.
- Must have a consistent method to quickly return to a blueprint that they frequently use.
- Must be able to retain a library of questions to receive consistent responses based on definitions approved by the company.
- Should have Bing search enabled on the environment for generative Al feature settings.
Platform extensions
The IT department plan to extend the platform by doing the following:
- Create Power Automate flows to automate seller tasks.
- Embed Power Apps components inside model-driven forms.
- Embed Power BI reports for sales analytics.
Testing
The IT department is testing predictive lead scoring with a small group of sellers.
The IT department edits the existing lead scoring model by adding new fields.
Issues:
Users have reported the following issues:
- Field sellers spend a significant amount of time researching customers before engaging with prospects.
- Sales managers cannot easily identify the most promising opportunities across regions.
- Lead prioritization varies significantly between sales teams.
- Testers report they cannot access the field changes in the lead score.
- A sales manager generated a blueprint but forgot the competitive intelligence brief.
Hotspot Question
You need to standardize the lead qualification process for field sellers.
What should you configure? To answer, select the appropriate options in the answer area.

Answer:


Explanation:
The lead qualification process should be controlled through the Lead to Opportunity Business Process Flow, because the case study states that field sellers use this existing process to manage leads. To prevent a lead from advancing to the Development stage until a decision maker is confirmed, configure the Decision Maker step as required in the business process flow.
Microsoft's business process flow guidance states that each stage contains steps mapped to columns, and a step can be made required so users must enter data before moving to the next stage. This stage-gating behavior directly satisfies the requirement that leads cannot progress until the decision maker is confirmed.
To ensure the correct process is applied for field sellers, authorize the business process flow for the field seller security role. Microsoft explains that business process flows can be associated with security roles so only users with those roles can view or use them, and that the first active process available for a user's security role is applied by default according to process order.
Do not choose Power Automate to advance the lead; the requirement is to block advancement until a required qualification criterion is completed, not to automate progression. "Switch to a different process" is user action, not a configuration standard.

Question #5

A company is using AI agents in Dynamics 365 Sales.
The company requires that the agent must do the following:
- Research incoming leads and generate initial outreach email.
- Autonomously contact leads, follow up, and evaluate qualification
during the process.
You need to identify which AI agent in Sales supports these requirements.
Which agent type should you use?

  • A. Sales Qualification Agent: Research-only
  • B. Sales Qualification Agent: Research and engage
  • C. Sales Close Agent: Engage
  • D. Sales Close Agent: Research
Answer: B

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