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| Section | Weight | Objectives |
|---|---|---|
| Configure Dynamics 365 Sales core features for AI | 15-20% | - Integrate Microsoft Power Platform components - Design and configure sales data model - Set up core sales entities and relationships - Configure security and access for AI features |
| Extend and enhance sales solutions with AI | 10-15% | - Deploy and manage AI agents - Implement collaboration features - Configure reporting and visualization - Monitor and optimize AI performance |
| Qualify and prioritize leads by using AI | 15-20% | - Implement Sales Qualification Agent - Configure lead qualification processes - Automate lead routing and prioritization - Fine-tune predictive lead scoring models |
| 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 |
| Develop deals by using intelligent opportunity research | 25-30% | - Use AI for opportunity research and insights - Optimize opportunity management workflows - Deploy and configure Sales Close Agent - Configure forecasting and goal management |
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NEW QUESTION # 69
Drag and Drop Question
You configure the product catalog for a company. The company sells drones, spare batteries, and accessories.
The company has the following requirements:
- Must define shared properties for several drone models.
- Must combine drones and accessories into a package.
- Must represent a single drone model.
You need to determine how product catalog elements should be configured.
Which catalog component should you use for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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:
The correct configuration is based on the product catalog hierarchy in Dynamics 365 Sales. A Product family is used when several related products need to share common characteristics or inherited properties. For example, a drone product family can define shared attributes such as flight time, camera type, battery compatibility, or warranty tier, and individual drone models can inherit or specialize those attributes. This is exactly what the requirement means by defining shared properties for several drone models.
A Bundle is used when multiple sellable products are combined into one package. If the company wants to sell a drone together with spare batteries, propellers, carrying cases, or accessories, that package should be configured as a bundle. The seller can then add the bundle to an opportunity, quote, order, or invoice instead of manually selecting each component.
A Product represents a single sellable item, such as one specific drone model. Price list is not correct for any of these requirements because price lists define pricing structures and currencies; they do not define catalog hierarchy, shared product properties, or bundled offerings.
NEW QUESTION # 70
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: A
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 # 71
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 # 72
A sales executive wants to measure whether Copilot adoption actually improves seller productivity over time. Which metric would provide the strongest evidence?
Answer: C
Explanation:
A meaningful productivity metric evaluates business outcomes rather than technical configuration.
Measuring reduced preparation time alongside maintained or improved customer engagement and sales performance demonstrates whether Copilot delivers measurable operational value without sacrificing effectiveness.
NEW QUESTION # 73
Drag and Drop Question
You are configuring a Dynamics 365 Sales implementation for a company.
The company has the following requirements:
- Must enable guided sales qualifications.
- Must allow sellers to create multiple opportunities when qualifying a lead.
- Must display full related emails with images on opportunities.
- Must notify supervisors when leads are qualified.
You need to configure the lead-to-opportunity qualification process based on the company's requirements.
What should you configure? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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:
Guided sales qualification is handled by a Business process flow because BPFs define the sales stages and required steps sellers follow during lead-to-opportunity execution. Microsoft describes lead qualification as the movement of a lead through the sales process into an opportunity, and business process flows are the native model-driven mechanism for guided stage-based work.
Creating multiple opportunities during qualification is controlled by the Lead qualification experience. Microsoft's lead qualification configuration allows administrators to customize how account, contact, and opportunity records are created when a lead is qualified, including seller- controlled conversion behavior.
Full related emails, including rich email content, belong in the Timeline because the timeline control displays activities related to a record, including emails, appointments, phone calls, notes, and tasks. Microsoft also states the enhanced email experience is available from the Timeline section of customer engagement apps.
Supervisor notification should be implemented with a Power Automate cloud flow. A Dataverse- triggered cloud flow can run when a lead row changes status or when a qualification process creates an opportunity, then notify the supervisor.
NEW QUESTION # 74
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