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| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Configure Dynamics 365 Sales core features for AI | 15–20% | - Configure mailboxes and business process flows - Evaluate prerequisites for deploying Sales - Examine Sales security model - Configure timeline and data import/export |
| Extend and enhance Sales | 10–15% | - Deploy and configure Sales mobile app and Teams calling - Create Power Platform components (Power Automate, Power Apps, Power BI) |
| Optimize AI-driven sales | 20–25% | - Design AI-first sales strategy with Copilot and agents - Set up conversational intelligence and forecasting - Configure predictive scoring and relationship intelligence - Prepare and deploy AI agents in Sales |
| Qualify and prioritize leads using AI | 15–20% | - Configure lead and opportunity experience - Fine-tune predictive scoring model - Configure Sales Qualification Agent and monitor its performance |
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NEW QUESTION # 60
Drag and Drop Question
You are responsible for improving lead prioritization in Dynamics 365 Sales.
Sales managers report that predictive scores do not match current conversion trends.
You need to edit the predictive lead scoring model to improve accuracy based on recent lead data.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
The correct sequence starts by opening and configuring the predictive scoring settings for lead scoring. The administrator must access the predictive lead scoring configuration page before changing the model. Microsoft's predictive scoring configuration guidance states that the Predictive lead scoring page is where administrators configure model settings, including model criteria and field behavior.
Next, the administrator should edit model attributes. This is the actual model-tuning step.
Microsoft states that Edit model is used to update or add fields that affect the prediction accuracy score, especially when the organization wants the model to consider different fields or a unique business process.
After modifying the attributes, the model must be retrained. Retraining is required when prediction accuracy does not meet expectations or when recent data should be incorporated. Microsoft explains that retraining uses the latest leads in the organization so the model can provide more accurate scores.
Finally, the administrator must verify predictive score accuracy by reviewing the model accuracy and performance. Exporting all lead records is unnecessary, and editing health score grading applies to opportunity health scoring, not predictive lead scoring.
NEW QUESTION # 61
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?
Answer: B
Explanation:
The correct action is to select a valid price list on the opportunity and verify that the product has a matching price list item for the selected unit. Dynamics 365 Sales calculates Price Per Unit from the price list item when an existing catalog product is added to an opportunity, quote, order, or invoice. Microsoft states that if an existing product is associated with a price list, the price per unit is calculated from the related price list item; otherwise, it is set to 0.
The failure pattern described in the question is classic missing or mismatched price-list setup.
Price calculation will not occur when no price list is selected, when the selected price list does not contain the product, or when the required price list item is missing. Microsoft also notes that price lists tie the product, unit, and pricing details together. Option A is incomplete because matching currency alone does not create the product/unit price list item. Option B is wrong because User Provided revenue bypasses system calculation. Option D handles discounts only; it does not fix a zero base unit price.
NEW QUESTION # 62
A seller is reviewing an opportunity in Dynamics 365 Sales. The Sales Close Agent in Research mode generates a summary.
The seller must decide how to proceed with the opportunity. The seller plans to use the research insights to move the deal forward.
You need to identify the information that the agent provides.
Which agent-provided insights should you share with the seller?
Answer: B
Explanation:
The correct insight to share is Recommended actions. Sales Close Agent in Research mode is opportunity-focused: it helps sellers understand the state of a deal, identify risks, and decide what to do next. Microsoft explains that the opportunity agent provides critical insights and recommendations so sellers can ramp up on opportunities, engage the right stakeholders, and mitigate risks effectively. The Responsible AI FAQ also describes the agent as identifying deal risks early and providing recommended mitigation strategies based on historical data and communication analysis.
The question specifically says the seller must decide how to proceed and wants to move the deal forward. That points directly to recommended actions, not static context. Financial health may be part of a broader opportunity view, but it is not the best answer for next-step guidance. Budget, Authority, Need, and Timeline is BANT qualification and belongs to lead qualification scenarios, especially Sales Qualification Agent, not opportunity research. Blueprints are generated by the Sales Research Agent on a research canvas for analytics-style exploration, not by the Sales Close Agent opportunity summary. Therefore, the correct insight category is Recommended actions.
NEW QUESTION # 63
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.
You need to resolve the competitive intelligence brief issue for the sales manager.
What three actions should you do? Each correct answer presents part of the solution. Choose three.
Answer: B,C,D
Explanation:
The issue is that the sales manager already generated a Sales Research Agent blueprint but forgot to include the quarterly competitive intelligence brief. The brief is an external document and the case study states it is delivered as a PDF document, so the correct first content action is to upload the competitive intelligence brief as a PDF file, not CSV. Microsoft's Sales Research Agent documentation states that users can select Add data to upload files including CSV, Excel, or PDF to augment research with additional data.
The second required action is to add a data source, because the competitive intelligence brief is not part of the default Dynamics 365 Sales data. Sales Research Agent connects to Dynamics
365 Sales data by default, but additional external files must be added as supporting data sources before they can influence the analysis. The documentation identifies the Data area as the place where the research data source is specified and where additional data sources can be added.
The final action is to regenerate the canvas/blueprint so the agent reprocesses the analysis using the newly added PDF. Refreshing alone is not the best answer because the problem is not stale data; it is missing context. Regeneration creates updated research output with the new source included.
NEW QUESTION # 64
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:
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.
NEW QUESTION # 65
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