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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Extend and enhance Sales | 10–15% | - Create Power Platform components (Power Automate, Power Apps, Power BI) - Deploy and configure Sales mobile app and Teams calling |
| Topic 2: Develop deals using intelligent opportunity research | 25–30% | - Configure Sales Close Agent and interpret actions - Optimize opportunity management and pipeline views - Configure and use Sales Research Agent insights |
| Topic 3: Qualify and prioritize leads using AI | 15–20% | - Configure lead and opportunity experience - Configure Sales Qualification Agent and monitor its performance - Fine-tune predictive scoring model |
| Topic 4: Optimize AI-driven sales | 20–25% | - Prepare and deploy AI agents in Sales - Design AI-first sales strategy with Copilot and agents - Configure predictive scoring and relationship intelligence - Set up conversational intelligence and forecasting |
| Topic 5: Configure Dynamics 365 Sales core features for AI | 15–20% | - Configure mailboxes and business process flows - Configure timeline and data import/export - Evaluate prerequisites for deploying Sales - Examine Sales security model |
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NEW QUESTION # 72
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?
Answer: A
Explanation:
No, the solution does not meet the goal. The requirement clearly states that sales managers need insights about deals , but the system must not perform automatic outreach to buyers . Sales Close Agent Engage mode is designed for autonomous customer engagement. It can interact with buyers, send outreach or follow- up communications, and help progress sales conversations automatically. That violates the restriction in the question.
For this scenario, the appropriate configuration is Sales Close Agent in Research mode , not Engage mode.
Research mode supports opportunity management by analyzing deal context, surfacing risks, identifying signals, and providing recommended next actions to sellers. It gives managers and sellers AI-generated deal insights while keeping buyer communication under human control. That is exactly what the company requires.
Engage mode would only be acceptable if the company wanted the agent to actively contact buyers or automate customer-facing communication. Since the requirement explicitly prohibits automatic outreach, Engage mode fails the stated goal.
References/topics: Sales Close Agent; Research mode versus Engage mode; opportunity insights; deal risk analysis; AI-assisted opportunity management without autonomous outreach.
NEW QUESTION # 73
You are implementing an agent in Dynamics 365 Sales for a company.
The customer runs weekly webinars that generate thousands of inbound leads.
The sales team needs to automate the first part of qualification but transfer promising leads to sellers.
The marketing team needs to analyze lead information and determine qualification possibility.
However, all outreach to prospects must be managed by human sellers due to compliance requirements.
You have the following requirements for the agent:
- The agent must research inbound leads and if they match the target
customer profile.
- The agent must evaluate Budget, Authority, Need, and Timeline during
early engagement before transferring to sellers.
- The agent must send the initial outreach email automatically, manage
responses, and detect positive intent.
- The leads that do NOT match the target customer profile should be
disqualified automatically, and sales supervisors should be notified.
- The qualified and positive intent leads should be transferred to
sellers.
You need to determine which configuration should be used.
Which agent and mode should you use?
Answer: C
Explanation:
The correct configuration is Sales Qualification Agent in Research and engage mode. The question contains one conflicting sentence about human-managed outreach, but the explicit agent requirements require autonomous outreach, response handling, BANT evaluation, positive- intent detection, disqualification of poor-fit leads, supervisor notification, and seller handoff. Those capabilities map only to Research and engage mode.
Microsoft's Sales Qualification Agent documentation states that both modes can research leads and check target customer profile fit, but only Research and engage mode checks BANT criteria, sends outreach emails, detects positive intent, sends follow-up emails, and engages with leads based on their responses. Microsoft's handoff criteria documentation also states that BANT criteria are only used by Research and engage mode, and that leads satisfying BANT and purchase-interest criteria are handed over to sellers, while leads that do not satisfy the configured criteria are disqualified and added for supervisor review.
Option B or D would be correct only if the controlling requirement were strictly "human sellers must manage all outreach." But the listed automation requirements go beyond Research-only mode, so the exam answer is C.
NEW QUESTION # 74
A company implements Dynamics 365 Sales.
The company has the following requirements:
Employees must have quarterly goals. The goals must calculate all deals won by quarter for each goal.
Managers must be able to look at the goals and calculations at any time.
The solution must use goal features WITHOUT customization.
You need to create the calculation.
What should you configure?
Answer: C
Explanation:
Topic 2, Contoso Ltd Case Study
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.
NEW QUESTION # 75
You configure Dynamics 365 Sales for a company.
Sales managers require sellers to use a structured lead qualification process before converting leads to opportunities.
You need to ensure sellers use a structured lead qualification process.
What should you configure?
Answer: D
Explanation:
The correct configuration is Business process flow. A structured lead qualification process requires sellers to move through defined stages and steps before a lead is converted into an opportunity. Microsoft describes business process flows as a way to guide users through stages of sales, marketing, or service processes toward completion. Business process flows can also include branching logic and defined steps, which makes them the correct mechanism for standardizing how sellers qualify leads before conversion.
NEW QUESTION # 76
A company uses Dynamics 365 Sales to manage enterprise opportunities. The sales team enables the Sales Research Agent to generate research summaries for each opportunity.
Sales managers must determine whether opportunities have strong external indicators that support deal progression.
You need to analyze insights from the research canvas for evidence that a deal environment is favorable.
Which two research canvas insights should you provide to the sales managers? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
The correct insights are recent public developments and strategic landscape analysis relative to the seller' s value proposition . The question is asking for external indicators that show whether the account's deal environment is favorable. Sales Research Agent is designed to analyze business questions using sales and business data, generate a blueprint with analysis, recommendations, charts, and graphs, and allow users to add external data sources such as PDFs, Excel, or CSV files to augment research. Microsoft describes the blueprint as a research output containing findings, visualizations, and recommendations that can support evidence-based sales decisions.
Option B is correct because recent public developments can reveal external buying triggers, market pressure, expansion activity, regulatory change, funding, partnerships, or competitive movement that may support deal progression. Option D is correct because strategic landscape analysis connects those external conditions to the seller's value proposition, which is exactly what managers need to judge deal favorability. Option A is internal CRM engagement data, useful but not an external indicator. Option C is administrative audit metadata and does not indicate market fit, urgency, or strategic opportunity.
References/topics: Sales Research Agent; research canvas; AI-generated blueprint; external business context; opportunity research insights.
NEW QUESTION # 77
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