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| Section | Weight | Objectives |
|---|---|---|
| Optimize AI-driven sales workflows and insights | 20-25% | - Configure Sales accelerator and work distribution - Set up conversational intelligence - Implement predictive scoring and relationship intelligence - Configure Copilot for Sales |
| Develop deals by using intelligent opportunity research | 25-30% | - Configure forecasting and goal management - Optimize opportunity management workflows - Use AI for opportunity research and insights - Deploy and configure Sales Close Agent |
| Configure Dynamics 365 Sales core features for AI | 15-20% | - Configure security and access for AI features - Design and configure sales data model - Set up core sales entities and relationships - Integrate Microsoft Power Platform components |
| Extend and enhance sales solutions with AI | 10-15% | - Deploy and manage AI agents - Implement collaboration features - Monitor and optimize AI performance - Configure reporting and visualization |
| Qualify and prioritize leads by using AI | 15-20% | - Implement Sales Qualification Agent - Configure lead qualification processes - Fine-tune predictive lead scoring models - Automate lead routing and prioritization |
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問題 #70
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.
You need to resolve the competitive intelligence brief issue for the sales manager.
What three actions should you do? Each correct answer presents part of the solution. Choose three.
答案：B,D,E
解題說明：
The issue is that the sales manager already generated a Sales Research Agent blueprint but forgot to include the quarterly competitive intelligence brief. The brief is an external document and the case study states it is delivered as a PDF document, so the correct first content action is to upload the competitive intelligence brief as a PDF file, not CSV. Microsoft's Sales Research Agent documentation states that users can select Add data to upload files including CSV, Excel, or PDF to augment research with additional data.
The second required action is to add a data source, because the competitive intelligence brief is not part of the default Dynamics 365 Sales data. Sales Research Agent connects to Dynamics
365 Sales data by default, but additional external files must be added as supporting data sources before they can influence the analysis. The documentation identifies the Data area as the place where the research data source is specified and where additional data sources can be added.
The final action is to regenerate the canvas/blueprint so the agent reprocesses the analysis using the newly added PDF. Refreshing alone is not the best answer because the problem is not stale data; it is missing context. Regeneration creates updated research output with the new source included.
問題 #71
A company uses the Sales Close Agent in Dynamics 365 Sales to help sellers close deals.
The sales managers want to ensure the agent is used only in specific scenarios.
You need to identify the behavior of the Sales Close Agent.
What should you use to review the agent ' s behavior?
答案：C
解題說明：
The correct answer is C . To review the Sales Close Agent behavior for an opportunity, you open an opportunity researched by the agent and select See full research . Microsoft's current Dynamics 365 Sales documentation describes this flow: sellers open the My top opportunities from AI agent view, open an opportunity, review the summary section, and then select See full research to open the Opportunity research page , which contains the complete research insights and recommendations.
This page is the right place to understand what the agent is surfacing and why it is helping progress deals. The Opportunity research page includes deal importance, deal risks and mitigations, deal overview, key signals, and other research-driven insights. Option A is incomplete and incorrectly starts from Forecast; the documented entry point is the Opportunities area and the AI-agent opportunity view. Option B is not the best answer because Sales Agent Runs is used for operational run records and permissions, not the seller-facing full research output. Option D is fabricated; there is no requirement to configure the opportunity pipeline view to force the full research page into every opportunity side panel.
References/topics: Sales Close Agent Research mode; Sales Opportunity Agent; Opportunity research page; See full research; AI-generated opportunity insights and recommendations.
問題 #72
You are the Dynamics 365 Sales administrator for an electronics company.
The sales team is having difficulty locating different products in the same category -- for instance, all versions of flat screen TVs available.
You need to organize the products in a way that makes it easier for the sales team to search for products.
What should you use?
答案：D
解題說明：
The correct answer is Product families because the requirement is to organize similar products into searchable categories. In Dynamics 365 Sales, product families are used to classify and group related products under a product hierarchy. Microsoft's product catalog guidance explains that products can be created as standalone products or inside a family depending on how the organization wants to organize and classify them, and the training module specifically describes creating product family hierarchies that include product bundles and individual products.
For the example in the question, "flat screen TV" would be the product family, while individual versions such as 42-inch, 55-inch, OLED, QLED, or 4K models would be products inside that family. This makes browsing and searching easier for sellers because related variants are grouped logically. Product unit groups define how products are sold, such as each, box, or case; they do not categorize products. Related products are used for cross-sell, upsell, substitute, or accessory recommendations, not primary catalog organization. Product bundles combine multiple products sold together as a package. Therefore, the correct catalog structure is Product families.
問題 #73
A sales manager wants to set up goals for all salespeople. The goal measurement is based on the total outgoing calls finished each year. The goals for the fiscal year are based on a calendar year, January- December.
You need to create the rollup query for the goal metrics.
Which option should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
答案：
解題說明：
Explanation:
The correct date field is Actual End because the goal is based on calls that are finished during the calendar year. For the Phone Call table, Microsoft defines Actual End as the actual end date and time of the phone call, which is the proper date to evaluate whether the completed call falls within the January-December goal period.
The correct rollup field is Actual (Integer) because the goal measures the number of outgoing calls, not revenue or another money-based amount. Microsoft's goal metric guidance explains that goal metrics can use count/integer values, and specifically gives sales calls made by a salesperson as an example of an integer goal metric. The actual integer field represents the achieved count as of the latest rollup calculation.
The correct source record type status is Made because the requirement is for outgoing calls that were completed. Microsoft's Phone Call status reason options include Open , Made , Canceled , and Received ;
"Made" represents completed outgoing phone calls, while "Received" represents completed incoming calls.
Therefore, the rollup must count Phone Call records with status Made , using Actual End as the date boundary and Actual (Integer) as the accumulated value.
References/topics: Dynamics 365 Sales goals; goal metrics; rollup fields; phone call activity status; Actual End date; completed outgoing call tracking.
問題 #74
A seller asks Copilot to identify important customer concerns discussed across multiple emails before preparing a proposal. Which capability should be used?
答案：A
解題說明：
Conversation summarization analyzes multiple email exchanges to identify recurring concerns, commitments, questions, and discussion themes. Sellers receive a concise overview that helps them prepare proposals aligned with customer priorities and expectations.
問題 #75
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