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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Optimize AI-driven sales | 20–25% | - Configure predictive scoring and relationship intelligence - Prepare and deploy AI agents in Sales - Set up conversational intelligence and forecasting - Design AI-first sales strategy with Copilot and agents |
| Topic 2: Qualify and prioritize leads using AI | 15–20% | - Configure Sales Qualification Agent and monitor its performance - Configure lead and opportunity experience - Fine-tune predictive scoring model |
| Topic 3: 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 4: 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 |
| Topic 5: Develop deals using intelligent opportunity research | 25–30% | - Configure and use Sales Research Agent insights - Configure Sales Close Agent and interpret actions - Optimize opportunity management and pipeline views |
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47. Frage
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.
Drag and Drop Question
You need to automate the quote approval process.
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.
Antwort:
Begründung:
Explanation:
The correct automation pattern is an automated Power Automate cloud flow triggered by a Dataverse event. The case study states that the process must notify the seller's manager when a draft quote is created and requires approval, and that approvals must use the Power Automate Approvals connector. Therefore, the flow should first be created as a cloud flow, then started by a Dataverse trigger such as when a row is added, modified, or deleted on the Quote table, filtered for the draft quote condition. Microsoft's Dataverse trigger guidance confirms that this trigger runs when a selected Dataverse table row is created, modified, or deleted.
After the trigger is defined, the flow must include an approval step using Power Automate approvals. Microsoft's approval workflow guidance states that Power Automate can manage approvals across services including Dynamics 365 and Dataverse-based processes. The final action is to test and activate the flow so the quote approval automation is available to users. Do not use a scheduled trigger because the requirement is event-driven, not time-based. Do not connect to the existing desktop flow because that desktop flow processes partner orders for fulfillment, not draft quote approvals. A Teams step is optional collaboration, not the required approval mechanism.
48. Frage
Hotspot Question
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.
Antwort:
Begründung:
Explanation:
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.
49. Frage
You are customizing Dynamics 365 Sales for a company.
Sales representatives need several enhancements to the opportunity form.
The enhancements must include the following:
Provide a guided interface to capture custom data during calls.
. Display revenue analytics directly within the opportunity record with the ability to ask questions.
. Automatically send a Microsoft Teams alert when an opportunity value exceeds a specific amount.
. Allow sellers to view product sales trends by region.
You need to determine which Microsoft Power Platform component should be implemented.
Which solution should you use for each requirement? To answer, move the appropriate solutions to the correct requirements. You may use each solution 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.
Antwort:
Begründung:
Explanation:
Requirement
Solution
Provide an interface to capture data during calls
Embedded canvas app
Display revenue analytics in the opportunity record
Power BI report
Send a Microsoft Teams alert when an opportunity value exceeds a specific amount Power Automate flow Allow sellers to view product sales trends by region Power BI report An embedded canvas app is the correct component for capturing custom data during calls because canvas apps are used to design tailored interfaces and can be embedded inside model-driven app forms. This gives sellers a purpose-built call capture experience directly on the Opportunity form instead of forcing them to use only standard fields or a rigid stage process. A Business process flow guides users through stages, but it is not the best fit for a custom call-data capture interface. Microsoft describes business process flows as guided process bars that lead users through defined stages and steps, not as custom UI components for call forms.
A Power BI report is required for both revenue analytics inside the opportunity record and product sales trends by region. Microsoft states that Power BI reports can be embedded in model-driven app main forms to bring rich reporting and analytics directly into record context, and Power BI Q & A allows users to ask natural language questions over report data.
A Power Automate flow is the correct solution for sending a Teams alert when opportunity value exceeds a threshold. A Dataverse-triggered cloud flow can run when an opportunity is created or updated, evaluate the value condition, and use the Microsoft Teams connector to post a message or card.
References/topics: Embedded canvas apps; Power BI embedded analytics; Power BI Q & A; Power Automate Dataverse triggers; Microsoft Teams connector; Dynamics 365 Sales extensibility.
50. Frage
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.
You are deploying AI agents for a company using Microsoft Dynamics 365 Sales.
The company wants to ensure that AI usage is tracked and billed monthly.
The company requires that AI billing uses pre-paid credits.
You need to configure the billing based on the requirements.
Solution: Create a billing policy for the Dynamics 365 Sales environment.
Does the solution meet the goal?
Antwort: B
Begründung:
The solution does not meet the goal because a billing policy for the Dynamics 365 Sales environment is associated with the pay-as-you-go consumption model, not the prepaid-credit model required in the question. Microsoft separates Dynamics 365 Sales Copilot and agent billing into two models:
prepaid capacity and pay-as-you-go. Prepaid capacity uses Copilot Studio message pack subscriptions that are purchased in advance, while pay-as-you-go charges for the actual number of messages consumed by agents during the month.
For prepaid AI credits, the correct configuration is to purchase the Copilot message pack subscription and then assign that prepaid capacity to the required Power Platform/Dynamics 365 Sales environment. Microsoft's setup steps for prepaid capacity specifically state that admins must purchase Copilot message packs through the Microsoft 365 admin center or Partner Center and assign prepaid capacity to the Power Platform environment through the Power Platform admin center.
So the proposed solution is wrong for the stated requirement. It may support monthly tracked consumption under pay-as-you-go, but it does not satisfy the explicit requirement to use pre-paid credits.
51. Frage
You use price lists in Dynamics 365 Sales. Some price lists have expired.
Users need to be able to continue to manage their opportunities.
Which option is possible?
Antwort: A
52. Frage
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