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| Section | Weight | Objectives |
|---|---|---|
| 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) |
| 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 |
| Develop deals using intelligent opportunity research | 25–30% | - Optimize opportunity management and pipeline views - Configure and use Sales Research Agent insights - Configure Sales Close Agent and interpret actions |
| Configure Dynamics 365 Sales core features for AI | 15–20% | - Examine Sales security model - Configure mailboxes and business process flows - Evaluate prerequisites for deploying Sales - Configure timeline and data import/export |
| Optimize AI-driven sales | 20–25% | - Configure predictive scoring and relationship intelligence - Design AI-first sales strategy with Copilot and agents - Set up conversational intelligence and forecasting - Prepare and deploy AI agents in Sales |
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NEW QUESTION # 86
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?
Answer: B
Explanation:
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 .
References/topics: Dynamics 365 Sales consumption-based billing; prepaid capacity; Copilot Studio message packs; Power Platform environment capacity assignment; pay-as-you-go billing policy.
NEW QUESTION # 87
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: A,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.
References/topics: Dynamics 365 Sales mobile app; Dataverse security roles; mobile access privilege; Sales Hub mobile access; Dynamics 365 Sales licensing.
NEW QUESTION # 88
A sales administrator wants AI predictions to improve over time as additional closed opportunities become available. Which statement accurately describes predictive models in Dynamics 365 Sales?
Answer: A
Explanation:
Predictive AI models continuously learn from an organization's historical opportunity outcomes and available CRM data. As more opportunities close successfully or unsuccessfully, the model can improve prediction quality by identifying additional patterns associated with sales success.
NEW QUESTION # 89
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-powered research capabilities for the sales team.
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.
Answer:
Explanation:
Explanation:
For Blueprints, the correct configuration is to name the blueprint workspace and pin the workspace. The requirement is not asking to regenerate analysis; it asks for a reliable way to return to frequently used research output. In Sales Research Agent, a generated blueprint exists inside a workspace, and Microsoft states that the workspace displays the workspace name, can be renamed, and can be switched from the workspace menu. That makes naming and pinning the workspace the correct operational pattern for reusable research access.
For Questions, the correct configuration is to create a business function with seeded prompts.
Sales Research Agent business functions are designed to tailor research to a specific use case, and administrators can add starter prompts. Microsoft explains that starter prompts appear on the Sales Research Agent home page for quick access and that the full prompt is sent to the agent when selected. This directly satisfies the requirement to retain a reusable library of approved questions.
Do not select regenerate the blueprint because regeneration refreshes or recreates analysis, but it does not create a persistent shortcut to frequently used research. Do not select custom table or manual prompt questions in Sales Copilot because the native Sales Research Agent feature already supports reusable business-function prompts.
NEW QUESTION # 90
Hotspot Question
A company plans to deploy AI agents in Dynamics 365 Sales to help sellers research accounts and summarize opportunity activity.
The company has the following requirements:
- AI capabilities must be activated in the environment.
- Administrators must be able to design, create, and manage AI agents.
- Sellers must have permissions that allow them to interact with AI-
generated insights in Sales.
- AI agents must be able to read and analyze the organization's sales
data stored in the platform.
You need to configure platform capabilities required for AI agents.
Which configuration should you apply for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The environment-level AI prerequisite is to deploy Copilot in Dynamics 365 Sales. Microsoft states that Copilot features must be turned on for Dynamics 365 Sales and that enabling Copilot activates the embedded chat and Copilot experiences in sales apps. Microsoft also identifies AI Agents and AI insight cards as environment capabilities required for Sales agents.
Administrators who design or create agents need Copilot Studio author capability. Microsoft's Copilot Studio licensing guidance specifically lists the Copilot Studio authors role as a supported access configuration and explains that this role is assigned through the Power Platform admin center.
Sellers must receive appropriate Dynamics 365 Sales security roles because Sales agent access is role-driven. Microsoft states that users must be assigned Sales Manager or Salesperson roles to use Sales agent capabilities in Dynamics 365 Sales.
Finally, agents can only analyze sales records when Dataverse access is correctly configured.
Dataverse security roles define table privileges such as Read, Create, Write, Delete, Append, and Append To, so sales data access must be governed through Dataverse security permissions.
NEW QUESTION # 91
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