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

AB-210 real exams

Exam Code: AB-210

Exam Name: Accelerating Sales Pipelines with AI in Dynamics 365

Updated: Oct 17, 2026

Q & A: 91 Questions and Answers

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Microsoft AB-210 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Optimize AI-driven sales workflows and insights20-25%- Set up conversational intelligence
- Configure Copilot for Sales
- Configure Sales accelerator and work distribution
- Implement predictive scoring and relationship intelligence
Topic 2: Develop deals by using intelligent opportunity research25-30%- Use AI for opportunity research and insights
- Configure forecasting and goal management
- Optimize opportunity management workflows
- Deploy and configure Sales Close Agent
Topic 3: Extend and enhance sales solutions with AI10-15%- Monitor and optimize AI performance
- Configure reporting and visualization
- Deploy and manage AI agents
- Implement collaboration features
Topic 4: Qualify and prioritize leads by using AI15-20%- Configure lead qualification processes
- Implement Sales Qualification Agent
- Fine-tune predictive lead scoring models
- Automate lead routing and prioritization
Topic 5: Configure Dynamics 365 Sales core features for AI15-20%- Set up core sales entities and relationships
- Configure security and access for AI features
- Design and configure sales data model
- Integrate Microsoft Power Platform components

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

Question #1

Sellers at a company require access to Dynamics 365 Sales from mobile devices.
Some sellers cannot access records after installing the sales mobile app.
You need to ensure that the sellers can use the mobile application.
Which two components should you configure? Each correct answer presents part of the solution.
Choose two.
NOTE: Each correct selection is worth one point.

  • A. Configure the mobile offline profile.
  • B. Assign appropriate user licenses.
  • C. Configure inbound and outbound profiles.
  • D. Configure mobile security roles.
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

Explanation: Only visible for Real4dumps members. You can sign-up / login (it's free).

Question #2

A company plans to deploy a Dynamics 365 Sales Hub app.
An administrator creates a Power Platform environment with the following configuration:
- The environment does not have a database.
- The environment is a sandbox environment.
- Access to the environment is restricted to a security group.
- The administrator has the System Administrator role.
You need to ensure that the administrator can deploy Dynamics 365 Sales.
Which two actions should you perform? Each correct answer presents part of the solution.
Choose two.
NOTE: Each correct selection is worth one point.

  • A. Assign a Dynamics 365 Sales enterprise license to the administrator role.
  • B. Remove the security group restriction.
  • C. Create a new environment.
  • D. Enable server-side synchronization.
  • E. Add Dataverse and enable Dynamics 365 apps.
Reveal Solution  Discussion  0

Correct Answer: A,E  🗳️

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Question #3

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
A company is evaluating AI agent capabilities for opportunity management.
Sales managers require insights about deals. You must ensure that the system does not perform automatic outreach to buyers.
You need to determine whether proposed solutions meet the requirements.
Solution: Configure the Sales Close Agent in Engage mode.
Does the solution meet the goal?

  • A. Yes
  • B. No
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #4

Hotspot Question
You manage Dynamics 365 Sales for a company.
A sales manager wants a weekly performance view of the Sales Close Agent in Research mode.
The sales manager also reports that a specific Opportunity stopped receiving automated outreach from the Sales Close Agent in Engage mode.
You need to do the following:
- Determine if the engagement for the opportunity record is pending,
completed, or failed.
- Provide a performance view that includes the Last refreshed and the
time period filter.
You need to identify the correct monitoring metrics for each requirement.
Which metrics should you review? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
For a specific opportunity that stopped receiving automated outreach, use the Sales Agent Runs table view. Microsoft states that to resolve the engagement status of a specific record, administrators can go to the sales agent run record view and filter the Regarding column by the record of interest. The Status field shows whether the engagement is Active, Failure, or Completed; Active means pending, Failure means the engagement failed, and Completed means it finished successfully.
For the manager's weekly performance requirement, use Insights and metrics for the Sales Close Agent. That is the performance reporting surface for the agent, not the per-record run table. The requirement specifically mentions a weekly performance view plus Last refreshed and a time period filter, which maps to the agent's insights dashboard/metrics area. The Sales Agent Runs view is operational monitoring for individual records, while the insights and metrics view is for aggregate performance analysis such as engagement outcomes, response rates, and trend monitoring. Do not select Engage settings because settings configure how the agent behaves; they do not provide performance metrics. Opportunity pipeline view helps sellers manage opportunities, but it is not the agent performance monitoring dashboard.

Question #5

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 configure AI capabilities that prioritize leads and improve scoring accuracy in Dynamics 365 Sales.
How should each requirement be configured? To answer, select the appropriate options in the answer area.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
The correct capability for automatically prioritizing leads based on conversion probability is Predictive lead scoring. Dynamics 365 Sales predictive lead scoring assigns scores to leads so sellers can prioritize the leads most likely to qualify or convert. Microsoft's Sales documentation states that predictive lead scoring helps sales teams prioritize leads based on scores and improve lead qualification outcomes. This directly matches Contoso's requirement to guide sellers toward high- potential leads and reduce inconsistent manual prioritization across regions.
To meet the requirement that lead scoring must continuously improve based on historical sales outcomes, configure the model to automatically retrain. Microsoft's predictive lead scoring guidance explains that retraining uses the latest leads in the organization to improve model accuracy, and automatic retraining allows the application to retrain the model every 15 days. This is the correct option because Contoso wants the scoring model to improve continuously as more closed lead outcome data becomes available.
"Lead scoring model" is too generic; the AI capability required is specifically predictive lead scoring. "Relationship intelligence" supports relationship analytics and engagement insights, but it does not score leads by conversion probability. "Configure forecast" applies to pipeline forecasting, not lead scoring accuracy.

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