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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: 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 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: 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 5: Configure Dynamics 365 Sales core features for AI | 15–20% | - Evaluate prerequisites for deploying Sales - Configure timeline and data import/export - Examine Sales security model - Configure mailboxes and business process flows |
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NEW QUESTION # 23
Sellers at a company require access to Dynamics 365 Sales from mobile devices.
Some sellers cannot access records after installing the sales mobile app.
You need to ensure that the sellers can use the mobile application.
Which two components should you configure? Each correct answer presents part of the solution.
Choose two.
NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
The correct components are mobile security roles and appropriate user licenses. Installing the mobile app alone does not grant access to Dynamics 365 Sales records. Microsoft's mobile setup guidance states that Dataverse security privileges control access to Dynamics 365 mobile apps, and the required mobile privilege is preconfigured for Sales roles but may need to be added to custom roles. It also states that the app must be shared with the security role assigned to the user, and users without the privilege can see an empty app list or an access error.
The license requirement is equally important. The Dynamics 365 Sales mobile experience exposes Sales Hub or Sales Professional according to the user's license, so sellers must have the correct Dynamics 365 Sales license assigned before they can access the appropriate Sales app and records. Mobile offline profiles are used for offline synchronization scenarios; they are not the base requirement for record access after app installation. Inbound and outbound profiles are unrelated to Sales mobile access and are not used to authorize sellers in the mobile application.
NEW QUESTION # 24
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 an Azure subscription.
Does the solution meet the goal?
Answer: B
Explanation:
The solution does not meet the goal. Creating an Azure subscription is associated with pay-as- you-go billing scenarios, not the required pre-paid credits model. Microsoft's Dynamics 365 Sales agent billing guidance states that Sales Copilot and agent capabilities support two billing models:
prepaid capacity and pay-as-you-go. Prepaid capacity uses Copilot Studio message pack subscriptions purchased in advance, while pay-as-you-go bills for actual message consumption during the month.
Because the requirement explicitly says AI billing must use pre-paid credits, the correct approach is to purchase Copilot Studio message packs or Copilot Credits and assign/manage that capacity for the relevant environment. Power Platform guidance explains that Copilot Studio credits/capacity are managed and monitored through the Power Platform admin center, and if prepaid capacity is exhausted, admins must reallocate capacity, purchase more credits, or enable pay-as-you-go. An Azure subscription may be required for pay-as-you-go cost management, but it does not satisfy a prepaid-credit requirement by itself. Therefore, the proposed solution is incorrect.
NEW QUESTION # 25
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 # 26
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.
References/topics: Predictive lead scoring; model attributes; model retraining; scoring accuracy; lead prioritization in Dynamics 365 Sales.
NEW QUESTION # 27
A company plans to implement Dynamics 365 Sales and wants to design a Dataverse data model that supports AI-driven insights across the sales lifecycle.
The company must be able to track the progression of a deal from initial prospect identification through to finalized billing.
The data model must support the following requirements:
- Prospects must be captured before they become qualified sales deals.
- Qualified deals must support forecasting and pipeline analysis.
- Sales teams must be able to generate pricing proposals for customers.
- Accepted proposals must transition into fulfillment records and then
final billing records.
You need to design the Dataverse table model that supports the required sales lifecycle.
Which table relationship should you implement?
Answer: E
Explanation:
The correct sales lifecycle is Lead -> Opportunity -> Quote -> Order -> Invoice. In Dynamics 365 Sales, a lead captures an initial prospect before the person or organization is qualified.
Microsoft's sales process guidance explains that sellers generally work with leads during the qualifying stage, and the goal is to qualify and advance the lead to the next stage of the sales process. Once qualified, the deal becomes an opportunity, which is the record used for pipeline tracking, revenue estimation, sales stages, probability, and forecasting analysis. Microsoft's prospect-to-quote guidance states that Dynamics 365 Sales supports capturing, managing, scoring, and converting leads into opportunities when qualification criteria are met.
Quotes are then created from opportunities to present pricing proposals to customers. Microsoft states that quotes created from opportunities are prefilled with opportunity details and products.
Once the proposal is accepted, the quote can be converted into a sales order for fulfillment and then into an invoice for billing; Microsoft's quote/order/invoice process sample explicitly demonstrates converting an opportunity to a quote, a quote to a sales order, and a sales order to an invoice. Therefore, option B is the only sequence that correctly supports the full sales lifecycle.
NEW QUESTION # 28
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