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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Dynamics 365 Sales core features for AI | 15–20% | - Sales environment configuration - Data and process setup for AI features |
| Topic 2: Extend and enhance Sales | 10–15% | - Integration with Microsoft Copilot and Power Platform - Extending Dynamics 365 Sales with AI capabilities |
| Topic 3: Qualify and prioritize leads using AI | 15–20% | - Lead scoring and qualification models - AI-driven lead prioritization workflows |
| Topic 4: Optimize AI-driven sales | 20–25% | - Copilot and AI assistant capabilities in Sales - Sales productivity and automation enhancement |
| Topic 5: Develop deals using intelligent opportunity research | 25–30% | - AI-assisted deal progression strategies - Opportunity insights and forecasting |
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NEW QUESTION # 46
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 # 47
You manage Dynamics 365 Sales.
The sales managers want to confirm that the Sales Close Agent generates insights that help progress deals. When monitoring the Sales Close Agent, you observe that some engagements are failing.
You need to determine how the Sales Close Agent handles engagement failures.
How should you expect the agent to behave when an error occurs?
Answer: D
Explanation:
The correct behavior is that the Sales Close Agent retries up to three times within the next hour, using an exponential backoff strategy. If those immediate attempts fail, the system continues retrying the engagement over the next three days. If the engagement still fails after that retry window, the record is marked as a failure. Microsoft's Sales Close Agent documentation explicitly describes this retry pattern for engagement errors and also identifies the possible run statuses as Active, Failure, and Completed.
NEW QUESTION # 48
A sales company uses the Sales Qualification Agent to evaluate inbound leads.
A sales manager updates the qualification criteria to better align with the target customer profile.
After the update, monitoring data shows the following:
. A shift in how leads are categorized compared to earlier results.
. Continued processing of incoming leads.
. No gaps in evaluation activity.
You need to interpret the monitoring data to understand the agent ' s behavior.
What should you conclude?
Answer: D
Explanation:
The correct conclusion is that lead outcomes reflect updated evaluation criteria applied during processing
. The Sales Qualification Agent evaluates inbound leads against the configured target customer profile and qualification settings. Microsoft states that the target customer profile suitability is determined by the attributes defined in the agent configuration's handoff criteria, and the agent categorizes leads as high, moderate, or low fit based on how well the lead matches those attributes.
Therefore, when the sales manager updates the qualification criteria, a shift in categorization is expected. It means the agent is applying the new criteria to processed leads, not that the old evaluations were incomplete or that external factors are necessarily driving the change. The continued processing and absence of evaluation gaps also indicate normal operational continuity. Microsoft's Sales Qualification Agent setup guidance explains that the agent works on assigned leads based on configured selection criteria and that stopping the agent prevents new lead processing; here, processing continued, so the agent remained active while using the revised configuration. Option A is too speculative: tuning might be useful later, but the evidence given does not prove a tuning problem. The clean interpretation is D .
References/topics: Sales Qualification Agent; target customer profile; qualification criteria; lead categorization; AI-driven lead qualification monitoring.
NEW QUESTION # 49
A company is using Dynamics 365 Sales and Microsoft 365.
The company has the following requirements for sales representatives:
- Must store opportunity files in a central location.
- Must collaborate using chat conversations associated with sales
records.
You need to configure the required integrations.
Which two integrations should you configure? Each correct answer presents part of the solution.
Choose two.
NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
The correct integrations are SharePoint document management and Teams conversation collaboration. SharePoint document management is required because the company wants opportunity files stored in a central location. Microsoft's Dynamics 365 Sales SharePoint integration is specifically designed to store documents related to Sales records in SharePoint while allowing users to access, share, and manage those documents from the Sales app.
Opportunity is one of the standard Sales records supported for SharePoint document integration.
Teams conversation collaboration is required because sellers must collaborate using chat conversations associated with sales records. Microsoft's Teams chat integration for Dynamics
365 Sales lets sellers start a new Teams chat or connect an existing chat directly to a Sales record, so conversations remain associated with the relevant opportunity, lead, account, or other record.
OneNote integration is for note-taking, not centralized file storage. Conversation intelligence analyzes calls and seller conversations for coaching and insights; it is not the feature for record- linked chat collaboration. Server-side synchronization with Exchange Online supports email, appointments, contacts, and tasks synchronization, but it does not satisfy the SharePoint file storage or Teams chat association requirements.
NEW QUESTION # 50
A company wants AI recommendations without replacing existing sales methodologies or approval processes. Which statement best reflects Dynamics 365 Sales AI?
Answer: A
Explanation:
Dynamics 365 Sales AI is designed to enhance existing sales methodologies by providing recommendations, predictions, and automation. Organizations continue using their established approval processes, governance, and CRM configurations while benefiting from AI-assisted productivity.
NEW QUESTION # 51
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