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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Dynamics 365 Sales core features for AI | 15-20% | - Configure security and access for AI features - Integrate Microsoft Power Platform components - Set up core sales entities and relationships - Design and configure sales data model |
| Topic 2: Qualify and prioritize leads by using AI | 15-20% | - Implement Sales Qualification Agent - Fine-tune predictive lead scoring models - Automate lead routing and prioritization - Configure lead qualification processes |
| Topic 3: Optimize AI-driven sales workflows and insights | 20-25% | - Implement predictive scoring and relationship intelligence - Set up conversational intelligence - Configure Sales accelerator and work distribution - Configure Copilot for Sales |
| Topic 4: Develop deals by using intelligent opportunity research | 25-30% | - Use AI for opportunity research and insights - Configure forecasting and goal management - Optimize opportunity management workflows - Deploy and configure Sales Close Agent |
| Topic 5: Extend and enhance sales solutions with AI | 10-15% | - Configure reporting and visualization - Deploy and manage AI agents - Monitor and optimize AI performance - Implement collaboration features |
These Accelerating Sales Pipelines with AI in Dynamics 365 (AB-210) practice test questions are customizable and give real Accelerating Sales Pipelines with AI in Dynamics 365 (AB-210) exam experience. Windows computers support desktop software. The web-based AB-210 Practice Exam is supported by all browsers and operating systems.
NEW QUESTION # 83
Your company is preparing sellers for complex enterprise opportunities.
The company wants sellers to gather relevant insights before initial account engagement.
You need to determine when using the Sales Research Agent is appropriate.
In which two scenarios are you able to use the Sales Research Agent? Each correct answer is a complete solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: A,B
Explanation:
The correct scenarios are B and C . Sales Research Agent is designed for research and analysis, not autonomous record updates or email engagement. Microsoft describes the agent as an AI-powered research canvas that lets users solve complex business questions through natural language, generate research blueprints, review sales-data insights, and ask follow-up questions to refine the analysis. It can use Dynamics
365 Sales data, uploaded offline files such as CSV, Excel, or PDF, and connected data sources to support pipeline exploration and sales operations analysis.
Option B is correct because Microsoft states that Sales Research Agent may use Bing Search only when the Bing search consent setting is enabled. When Bing search is disabled, the agent operates only on internal data sources that the user already has permission to access. Option C is also correct because the agent generates a research blueprint with visualizations and a text overview, and users can continue iterating by asking follow- up questions or changing visualizations on the canvas. Option A is wrong because Sales Research Agent is analytical; it does not update opportunities with risk or importance values. Option D is wrong because automatic email engagement is the domain of sales/qualification engagement agents, not Sales Research Agent.
References/topics: Sales Research Agent; research canvas; AI-generated blueprints; Bing search consent; internal sales data analysis; intelligent opportunity research.
NEW QUESTION # 84
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.
Answer:
Explanation:
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.
NEW QUESTION # 85
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.
Answer: A,D
Explanation:
The correct components are mobile security roles and appropriate user licenses . Installing the mobile app alone does not grant access to Dynamics 365 Sales records. Microsoft's mobile setup guidance states that Dataverse security privileges control access to Dynamics 365 mobile apps, and the required mobile privilege is preconfigured for Sales roles but may need to be added to custom roles. It also states that the app must be shared with the security role assigned to the user, and users without the privilege can see an empty app list or an access error.
The license requirement is equally important. The Dynamics 365 Sales mobile experience exposes Sales Hub or Sales Professional according to the user's license, so sellers must have the correct Dynamics 365 Sales license assigned before they can access the appropriate Sales app and records. Mobile offline profiles are used for offline synchronization scenarios; they are not the base requirement for record access after app installation. Inbound and outbound profiles are unrelated to Sales mobile access and are not used to authorize sellers in the mobile application.
References/topics: Dynamics 365 Sales mobile app; Dataverse security roles; mobile access privilege; Sales Hub mobile access; Dynamics 365 Sales licensing.
NEW QUESTION # 86
Drag and Drop Question
You are implementing a sales automation solution for a company.
The sales team wants to automate actions when new leads are created or when opportunities reach specific milestones. The company plans to use Power Automate to automate these actions.
The automation must meet the following requirements:
- Automatically notify a manager when a high-value opportunity is
created.
- Validate the products with an external ERP system every Sunday.
- Display a guided lead qualification interface on the lead form.
- Update an external ERP system when an opportunity is won.
You need to identify which automation type to use for each requirement.
Which automation type should you use? To answer, move the appropriate automation types to the correct requirements. You may use each automation type once, more than once, or not at all.
You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
A Power Automate automated cloud flow is the correct automation type when work must run automatically after a business event occurs. Microsoft describes cloud flows as flows that can perform actions automatically after an event triggers them, such as sending a notification after a triggering event occurs. Therefore, notifying a manager when a high-value opportunity is created and updating an external ERP system when an opportunity is won are both event-driven scenarios, so they should use automated cloud flows with Dataverse triggers.
A Power Automate scheduled cloud flow is correct for validating products with an external ERP system every Sunday. Microsoft states that a scheduled cloud flow runs at a specific time or recurring schedule, such as daily or weekly, and uses a recurrence trigger. That directly matches the weekly Sunday validation requirement.
A Business process flow is correct for displaying a guided lead qualification interface on the lead form. Business process flows provide a streamlined user experience that guides users through defined processes, and Dynamics 365 Sales documentation explains that stages and steps display in a control at the top of a form. Instant cloud flow is not used because none of the requirements ask for a manually triggered user action.
NEW QUESTION # 87
A company wants sellers to identify customers whose engagement has steadily declined over several weeks before opportunities are lost. Which capability is most appropriate?
Answer: D
Explanation:
Relationship Analytics tracks engagement trends across customer communications over time.
Declining interaction patterns can indicate increasing sales risk, allowing sellers to intervene proactively before opportunities become inactive or are lost.
NEW QUESTION # 88
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