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| Section | Weight | Objectives |
|---|---|---|
| Optimize AI-driven sales | 20–25% | - Copilot and AI assistant capabilities in Sales - Sales productivity and automation enhancement |
| Develop deals using intelligent opportunity research | 25–30% | - Opportunity insights and forecasting - AI-assisted deal progression strategies |
| Extend and enhance Sales | 10–15% | - Extending Dynamics 365 Sales with AI capabilities - Integration with Microsoft Copilot and Power Platform |
| Qualify and prioritize leads using AI | 15–20% | - AI-driven lead prioritization workflows - Lead scoring and qualification models |
| Configure Dynamics 365 Sales core features for AI | 15–20% | - Data and process setup for AI features - Sales environment configuration |
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質問 # 31
The remote sales workforce of your organization has been using the integrated Teams chat to collaborate internally. To save time, you indicate to the sales leader that suggested contacts can be displayed when a seller starts a new connected chat.
The sales leader asked you to configure the ability to use suggested contacts.
Which three rules does Dynamics 365 provide as default options to use for suggesting contacts? Each correct answer presents a complete solution. Choose three.
NOTE: Each correct selection is worth one point.
正解：C、D、F
解説：
The three default rule-style suggestions are the Record Owner of the initiating record , the Created By user of the initiating record , and the manager assigned on the seller's system user record . Suggested contacts in Dynamics 365 Sales Teams chat are intended to help sellers quickly find coworkers who are relevant to the record they are working on. Microsoft states that administrators can enable suggested contacts when a seller starts a new connected chat, and that rules-based contact suggestions can be configured for supported Dynamics 365 record types.
The rule engine supports relational rules: Microsoft explains that a relational rule suggests a user who has a relationship with the linked record type or one of its related records, and administrators can select a user field directly on the record or through related entities. The record owner and created-by user are direct relational users on the initiating record. The seller's manager is reached through the system user relationship. The business-unit owner is not the default suggestion path for seller collaboration, and "last modified by" or a user who updated a timeline activity are not the default rule answers in this configuration set.
References/topics: Teams chat in Dynamics 365 Sales; suggested contacts; rules-based contact suggestions; relational suggestion rules; sales collaboration.
質問 # 32
A company plans to deploy a Dynamics 365 Sales Hub app.
An administrator creates a Power Platform environment with the following configuration:
. The environment does not have a database.
The environment is a sandbox environment.
. Access to the environment is restricted to a security group.
. The administrator has the System Administrator role.
You need to ensure that the administrator can deploy Dynamics 365 Sales.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.
正解：D、E
解説：
The administrator must have both the correct license and an environment that supports Dynamics 365 apps .
Microsoft states that when creating a production or sandbox Power Platform environment with a Dataverse database, administrators can add Dynamics 365 apps such as Dynamics 365 Sales, but they must select Enable Dynamics 365 apps during database provisioning. Microsoft also states that a valid Dynamics 365 license is required to enable Dynamics 365 apps.
Therefore, the administrator must be assigned a Dynamics 365 Sales Enterprise license , and the environment must have Dataverse added with Dynamics 365 apps enabled . After the Sales license is available, Dynamics 365 Sales apps such as Sales Hub can be installed from the Power Platform admin center under the environment's Dynamics 365 apps resources.
Option A is wrong because server-side synchronization is used for Exchange email, appointments, contacts, and tasks integration; it is not required to deploy Sales Hub. Option D is not required because a sandbox environment can support Dynamics 365 apps when Dataverse and Dynamics 365 apps are enabled. Option E is unnecessary unless the administrator is excluded from the security group; the scenario already states the administrator has the System Administrator role.
References/topics: Power Platform environment provisioning; Dataverse database; Enable Dynamics
365 apps; Dynamics 365 Sales licensing; Sales Hub deployment.
質問 # 33
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?
正解：B
解説：
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.
質問 # 34
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 capabilities that prioritize leads and improve scoring accuracy in Dynamics 365 Sales.
How should each requirement be configured? To answer, select the appropriate options in the answer area.
正解：
解説：
Explanation:
The correct capability for automatically prioritizing leads based on conversion probability is Predictive lead scoring. Dynamics 365 Sales predictive lead scoring assigns scores to leads so sellers can prioritize the leads most likely to qualify or convert. Microsoft's Sales documentation states that predictive lead scoring helps sales teams prioritize leads based on scores and improve lead qualification outcomes. This directly matches Contoso's requirement to guide sellers toward high- potential leads and reduce inconsistent manual prioritization across regions.
To meet the requirement that lead scoring must continuously improve based on historical sales outcomes, configure the model to automatically retrain. Microsoft's predictive lead scoring guidance explains that retraining uses the latest leads in the organization to improve model accuracy, and automatic retraining allows the application to retrain the model every 15 days. This is the correct option because Contoso wants the scoring model to improve continuously as more closed lead outcome data becomes available.
"Lead scoring model" is too generic; the AI capability required is specifically predictive lead scoring. "Relationship intelligence" supports relationship analytics and engagement insights, but it does not score leads by conversion probability. "Configure forecast" applies to pipeline forecasting, not lead scoring accuracy.
質問 # 35
A seller is reviewing an opportunity in Dynamics 365 Sales. The Sales Close Agent in Research mode generates a summary.
The seller must decide how to proceed with the opportunity. The seller plans to use the research insights to move the deal forward.
You need to identify the information that the agent provides.
Which agent-provided insights should you share with the seller?
正解：A
解説：
The correct insight to share is Recommended actions . Sales Close Agent in Research mode is opportunity- focused: it helps sellers understand the state of a deal, identify risks, and decide what to do next. Microsoft explains that the opportunity agent provides critical insights and recommendations so sellers can ramp up on opportunities, engage the right stakeholders, and mitigate risks effectively. The Responsible AI FAQ also describes the agent as identifying deal risks early and providing recommended mitigation strategies based on historical data and communication analysis.
The question specifically says the seller must decide how to proceed and wants to move the deal forward.
That points directly to recommended actions, not static context. Financial health may be part of a broader opportunity view, but it is not the best answer for next-step guidance. Budget, Authority, Need, and Timeline is BANT qualification and belongs to lead qualification scenarios, especially Sales Qualification Agent, not opportunity research. Blueprints are generated by the Sales Research Agent on a research canvas for analytics-style exploration, not by the Sales Close Agent opportunity summary. Therefore, the correct insight category is Recommended actions .
References/topics: Sales Close Agent Research mode; opportunity recommendations; deal risk mitigation; Sales Opportunity Agent insights; opportunity progression.
質問 # 36
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