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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Dynamics 365 Sales core features for AI | 15–20% | - Examine Sales security model - Configure timeline and data import/export - Evaluate prerequisites for deploying Sales - Configure mailboxes and business process flows |
| Topic 2: Optimize AI-driven sales | 20–25% | - Prepare and deploy AI agents in Sales - Design AI-first sales strategy with Copilot and agents - Set up conversational intelligence and forecasting - Configure predictive scoring and relationship intelligence |
| Topic 3: 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) |
| Topic 4: Develop deals using intelligent opportunity research | 25–30% | - Configure Sales Close Agent and interpret actions - Configure and use Sales Research Agent insights - Optimize opportunity management and pipeline views |
| Topic 5: Qualify and prioritize leads using AI | 15–20% | - Configure Sales Qualification Agent and monitor its performance - Fine-tune predictive scoring model - Configure lead and opportunity experience |
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NEW QUESTION # 78
You are implementing Dynamics 365 Sales for a company.
The company sells products globally and requires pricing to be managed for different currencies.
The company has the following requirements:
. Must define the quantities in which a product can be sold.
. Must group product pricing based on different currencies.
. Must identify the sale price of a product.
You need to configure the product catalog.
How should each pricing requirement be configured? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Requirement
Configuration
Quantities a product can be sold
Unit group
Group product pricing for different currencies
Price list
Sale price of a product
Price list item
The correct configuration uses Unit group , Price list , and Price list item because these are the core Dynamics 365 Sales product catalog pricing components. A Unit group defines the collection of units in which a product can be sold. For example, a product might be sold as each, box, case, or pallet. The unit group provides the available quantity structure, while a primary unit identifies the default or base unit inside that group. Therefore, the requirement to define the quantities in which a product can be sold maps to Unit group , not just Unit or Primary unit.
A Price list is used to group product pricing, and each price list is associated with a currency. For a global company selling in different markets, separate price lists can be maintained for currencies such as USD, EUR, or GBP. The Price list item defines the actual sale price of a specific product within a price list, including the product, unit, currency context, and pricing amount. A discount list only defines discount rules, and a product family organizes products, not pricing.
References/topics: Product catalog configuration; unit groups and units; price lists; price list items; global pricing and currency-based product pricing in Dynamics 365 Sales.
NEW QUESTION # 79
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: D
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.
References/topics: Opportunity products; price lists; price list items; Price Per Unit calculation; system- calculated opportunity revenue.
NEW QUESTION # 80
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 # 81
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 Research mode.
Does the solution meet the goal?
Answer: A
Explanation:
Yes, the solution meets the goal. The requirement is very specific: sales managers need deal insights , but the organization must avoid automatic outreach to buyers . Sales Close Agent in Research mode is the correct configuration because it focuses on researching opportunities, analyzing deal context, identifying risks and signals, and providing recommendations to sellers without autonomously engaging customers.
Research mode is intended to help sellers understand an opportunity more quickly by surfacing insights such as deal health, signals, risks, and suggested next actions. It supports opportunity management by giving the team intelligence that can help progress deals, while leaving communication decisions in the hands of the seller. That directly aligns with the stated requirement for insights about deals.
The critical distinction is that Engage mode is the mode that performs automated outreach and customer interaction. Since the company explicitly does not want automatic outreach to buyers, Engage mode would violate the requirement. By configuring the Sales Close Agent in Research mode , the company gets AI- assisted opportunity analysis without autonomous communications.
References/topics: Sales Close Agent; Research mode; opportunity insights; deal analysis; recommended next actions; distinction between Research mode and Engage mode.
NEW QUESTION # 82
You are configuring Copilot capabilities in Dynamics 365 Sales for a company.
After enabling Copilot, sellers report that the summary insight banner on Opportunities, Leads, and Accounts is missing key business context and history.
You need to ensure that the missing information is displayed.
Which action should you perform?
Answer: A
Explanation:
The correct action is Configure table auditing. Copilot summaries and recent-change context for Opportunities, Leads, and Accounts depend on audit history. Microsoft's Dynamics 365 Sales Copilot setup guidance states that when Copilot is enabled, administrators can turn on audit history for the Lead, Opportunity, and Account tables, and Copilot needs audit history to display recent changes for those records.
This issue is not solved by predictive scoring or opportunity pipeline settings. Predictive scoring ranks leads or opportunities based on likelihood, but it does not provide historical summary context. The opportunity pipeline view controls how opportunities are displayed and managed in the pipeline, not what Copilot can summarize. AI insight cards are separate guided insight notifications and are not the underlying data-history source for the missing Copilot summary banner context. Microsoft also documents that Copilot's recent changes list is generated from audit history, and if auditing is turned off, the recent changes configuration is unavailable until auditing is enabled. Therefore, table auditing is the required configuration to make key history available for Copilot-generated summaries and recent-change insights.
NEW QUESTION # 83
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