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| Section | Weight | Objectives |
|---|---|---|
| Develop deals using intelligent opportunity research | 25–30% | - AI-assisted deal progression strategies - Opportunity insights and forecasting |
| Configure Dynamics 365 Sales core features for AI | 15–20% | - Data and process setup for AI features - Sales environment configuration |
| Qualify and prioritize leads using AI | 15–20% | - AI-driven lead prioritization workflows - Lead scoring and qualification models |
| Optimize AI-driven sales | 20–25% | - Copilot and AI assistant capabilities in Sales - Sales productivity and automation enhancement |
| Extend and enhance Sales | 10–15% | - Extending Dynamics 365 Sales with AI capabilities - Integration with Microsoft Copilot and Power Platform |
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NEW QUESTION # 30
A company tracks opportunities using the pipeline view.
The sales managers want pipeline stages configured so they can quickly identify deal progress.
The configuration must meet the following requirements:
. Open the Pipeline view by default in Opportunities.
. Open a specific form for the opportunity side panel.
. Provide the ability to expand or collapse the grid by sections, for example Owner or Account.
. Display the average value at the bottom of the grid.
You need to identify the opportunity configuration.
Which configuration should you apply for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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
Answer:
Explanation:
Explanation:
Requirement
Configuration
Open the Pipeline view by default in Opportunities
Configure Opportunity main form
Open a specific form for the opportunity side panel
Set the default Opportunity form
Ability to expand or collapse the grid by sections
Enable aggregation on view controls
Display the average value at the bottom of the grid
Enable aggregation on view controls
To open the Pipeline view by default, configure the Opportunity main form by adding the Pipeline view control for Opportunities. Microsoft states that the read-only grid is the default view for opportunities, but administrators can set the Opportunities pipeline view as the default by customizing the Opportunity table form and adding the Pipeline view component. The configuration includes selecting the Opportunities table, choosing the opportunity view, and enabling grouping and aggregation.
To open a specific form in the opportunity side panel, use Set the default Opportunity form . Microsoft's configuration guidance states that when sellers open an opportunity from the pipeline view, the side panel displays opportunity details, and administrators can change the default side-panel form to the main opportunity form or a custom form.
For expanding/collapsing by sections such as Owner or Account and displaying average values at the bottom of the grid, enable aggregation/grouping behavior on the Pipeline view control. Microsoft states that Enable grouping and Enable aggregation allow sellers to group and aggregate opportunities in the pipeline view.
This supports sectioned grid behavior and aggregate values such as average, sum, or count. The quick create form is irrelevant because it controls record creation, not pipeline display behavior.
References/topics: Opportunity pipeline view; Opportunity main form; side panel default form; grouping and aggregation; pipeline grid configuration.
NEW QUESTION # 31
You are implementing an agent in Dynamics 365 Sales for a company.
The customer runs weekly webinars that generate thousands of inbound leads.
The sales team needs to automate the first part of qualification but transfer promising leads to sellers.
The marketing team needs to analyze lead information and determine qualification possibility. However, all outreach to prospects must be managed by human sellers due to compliance requirements.
You have the following requirements for the agent:
. The agent must research inbound leads and if they match the target customer profile.
. The agent must evaluate Budget, Authority, Need, and Timeline during early engagement before transferring to sellers.
. The agent must send the initial outreach email automatically, manage responses, and detect positive intent.
. The leads that do NOT match the target customer profile should be disqualified automatically, and sales supervisors should be notified.
. The qualified and positive intent leads should be transferred to sellers.
You need to determine which configuration should be used.
Which agent and mode should you use?
Answer: C
Explanation:
The correct configuration is Sales Qualification Agent in Research and engage mode . The question contains one conflicting sentence about human-managed outreach, but the explicit agent requirements require autonomous outreach, response handling, BANT evaluation, positive-intent detection, disqualification of poor- fit leads, supervisor notification, and seller handoff. Those capabilities map only to Research and engage mode.
Microsoft's Sales Qualification Agent documentation states that both modes can research leads and check target customer profile fit, but only Research and engage mode checks BANT criteria, sends outreach emails, detects positive intent, sends follow-up emails, and engages with leads based on their responses.
Microsoft's handoff criteria documentation also states that BANT criteria are only used by Research and engage mode, and that leads satisfying BANT and purchase-interest criteria are handed over to sellers, while leads that do not satisfy the configured criteria are disqualified and added for supervisor review.
Option B or D would be correct only if the controlling requirement were strictly "human sellers must manage all outreach." But the listed automation requirements go beyond Research-only mode, so the exam answer is C
.
References/topics: Sales Qualification Agent; Research and engage mode; target customer profile; BANT; purchase intent; lead handoff; supervisor review.
NEW QUESTION # 32
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 # 33
A company uses Dynamics 365 Sales with the Sales Research Agent enabled. Sellers review the research canvas before planning outreach to customers.
You generate a Sales Research Agent blueprint on the research canvas.
You need to update a single component in the blueprint.
What should you do?
Answer: D
Explanation:
The correct action is Update a single block in the canvas. In Sales Research Agent, the research canvas generates a blueprint that contains research findings, visualizations, and blocks of insight.
Microsoft states that users can interact with visualizations through the AI cursor, ask follow-up questions, and then choose whether to update the existing block or generate a new blueprint. If Update block is selected, the existing block is updated with the new information; if Generate new blueprint is selected, the agent creates a new blueprint and adds a journey line.
This distinction matters. The requirement is to update one component, not rebuild the full blueprint. Regenerate the blueprint or Refresh the blueprint would affect the broader blueprint output:
Microsoft documents refresh/regenerate as actions for using latest data or producing new visualizations and insights, not for targeted single-block editing. The Dynamics 365 AI Optimization hub is unrelated to editing individual research canvas blocks.
NEW QUESTION # 34
A company enables Copilot for sellers. Management wants representatives to generate personalized customer emails while preserving seller control before messages are sent. Which behavior should be expected?
Answer: D
Explanation:
Copilot generates personalized draft emails using CRM information and customer context, but sellers review, edit, and approve the content before sending. This approach balances AI productivity with human oversight and organizational communication standards.
NEW QUESTION # 35
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