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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Extend and enhance sales solutions with AI | 10-15% | - Configure reporting and visualization - Implement collaboration features - Deploy and manage AI agents - Monitor and optimize AI performance |
| Topic 2: Configure Dynamics 365 Sales core features for AI | 15-20% | - Design and configure sales data model - Configure security and access for AI features - Integrate Microsoft Power Platform components - Set up core sales entities and relationships |
| Topic 3: Qualify and prioritize leads by using AI | 15-20% | - Automate lead routing and prioritization - Configure lead qualification processes - Fine-tune predictive lead scoring models - Implement Sales Qualification Agent |
| Topic 4: Develop deals by using intelligent opportunity research | 25-30% | - Use AI for opportunity research and insights - Deploy and configure Sales Close Agent - Configure forecasting and goal management - Optimize opportunity management workflows |
| Topic 5: Optimize AI-driven sales workflows and insights | 20-25% | - Implement predictive scoring and relationship intelligence - Set up conversational intelligence - Configure Copilot for Sales - Configure Sales accelerator and work distribution |
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NEW QUESTION # 87
A company uses Dynamics 365 Sales to manage opportunities using a custom form.
Sellers spend significant time manually reviewing information about opportunities before contacting customers.
You need to reduce the time required for reviewing opportunities.
What should you add to the form?
Answer: D
Explanation:
The correct answer is Opportunity summary . The requirement is not to score the opportunity, show the next activity, or display health indicators; it is to reduce the seller's manual review effort before contacting the customer. Microsoft's Copilot capability for Dynamics 365 Sales provides AI-generated summaries for opportunity records so sellers can quickly understand key deal context, related activities, emails, and important history without reading the full timeline manually. Microsoft specifically states that Copilot record summarization generates concise summaries of key information from sales records such as opportunities, leads, and accounts.
Because the company uses a custom opportunity form , the opportunity summary widget must be added to that form. Microsoft's implementation guidance explicitly flags custom opportunity forms and asks whether the opportunity summary widget has been added, and the Copilot summary documentation notes that the opportunity summary widget is available by default on the standard form but must be added to custom forms.
Up next guides sellers to the next activity, Health score and Predictive opportunity scoring evaluate opportunity risk or likelihood, and Timeline highlights is narrower than the full AI-generated opportunity overview.
References/topics: Copilot opportunity summary; custom opportunity forms; AI-generated sales record summaries; seller productivity in Dynamics 365 Sales.
NEW QUESTION # 88
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 # 89
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:
Requirement
Configuration
Enable AI features in the environment
Deploy Copilot in Dynamics 365 Sales
Allow administrators to create agents
Assign Copilot Studio author role
Allow sellers to use AI insights
Assign Dynamics 365 Sales security roles
Allow agents to analyze sales records
Configure Dataverse security permissions
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 .
References/topics: Copilot in Dynamics 365 Sales; Sales agents prerequisites; Copilot Studio author role; Dynamics 365 Sales security roles; Dataverse security permissions.
NEW QUESTION # 90
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: B
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 # 91
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: D
Explanation:
The correct answer is Goal metric. In Dynamics 365 Sales, the goal metric defines how goal performance is calculated. Microsoft explains that each goal uses a goal metric to determine how the goal is tracked, and goal metrics can track actual, in-progress, and custom values through rollup fields. For won opportunity revenue, the metric can use the Opportunity table as the source and roll up the actual value for opportunities that are closed as won.
The quarterly requirement is handled by the goal's time period. The goal metric specifies the calculation logic, including the source table, source attribute, date attribute, and source status such as Won. Microsoft's goal metric documentation states that the date attribute is validated against the goal time period, so records participate in the rollup only when their date falls between the goal start and end dates. A rollup query is not the best answer because it only applies additional filtering criteria to an existing goal metric; it does not create the core calculation.
NEW QUESTION # 92
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