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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Develop deals using intelligent opportunity research | 25–30% | - Opportunity insights and forecasting - AI-assisted deal progression strategies |
| Topic 2: Extend and enhance Sales | 10–15% | - Extending Dynamics 365 Sales with AI capabilities - Integration with Microsoft Copilot and Power Platform |
| Topic 3: Optimize AI-driven sales | 20–25% | - Copilot and AI assistant capabilities in Sales - Sales productivity and automation enhancement |
| Topic 4: Qualify and prioritize leads using AI | 15–20% | - Lead scoring and qualification models - AI-driven lead prioritization workflows |
| Topic 5: Configure Dynamics 365 Sales core features for AI | 15–20% | - Data and process setup for AI features - Sales environment configuration |
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NEW QUESTION # 51
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
You are deploying AI agents for a company using Microsoft Dynamics 365 Sales.
The company wants to ensure that AI usage is tracked and billed monthly.
The company requires that AI billing uses pre-paid credits.
You need to configure the billing based on the requirements.
Solution: Configure capacity overages to the billing plan on the Dynamics 365 Sales environment.
Does the solution meet the goal?
Answer: A
Explanation:
The solution does not meet the goal. The requirement is explicit: AI billing must use pre-paid credits .
Microsoft's Dynamics 365 Sales billing guidance separates Copilot and agent billing into two models:
prepaid capacity and pay-as-you-go . Prepaid capacity uses Copilot Studio message pack subscriptions that are purchased in advance, while pay-as-you-go bills for the actual number of messages consumed during the month.
Configuring capacity overages to a billing plan is not the prepaid-credit model. Overages are tied to consumption beyond allocated capacity and are handled through billing-plan/pay-as-you-go behavior. That conflicts with the requirement to use pre-purchased credits. For prepaid billing, the correct approach is to purchase Copilot Studio message packs or capacity packs and assign that prepaid capacity to the Dynamics
365/Power Platform environment. Microsoft's Power Platform capacity guidance states that prepaid capacity can be assigned to environments, and when prepaid capacity is exhausted, administrators must reallocate capacity, purchase more credits, or enable pay-as-you-go billing.
Therefore, configuring overages may support monthly usage billing, but it does not satisfy the stated requirement that billing must use prepaid credits.
References/topics: Dynamics 365 Sales consumption-based billing; prepaid capacity; Copilot Studio message packs; Copilot credit capacity; pay-as-you-go overage handling.
NEW QUESTION # 52
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: C
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 # 53
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 standardize the lead qualification process for field sellers.
What should you configure? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation:
The lead qualification process should be controlled through the Lead to Opportunity Business Process Flow, because the case study states that field sellers use this existing process to manage leads. To prevent a lead from advancing to the Development stage until a decision maker is confirmed, configure the Decision Maker step as required in the business process flow.
Microsoft's business process flow guidance states that each stage contains steps mapped to columns, and a step can be made required so users must enter data before moving to the next stage. This stage-gating behavior directly satisfies the requirement that leads cannot progress until the decision maker is confirmed.
To ensure the correct process is applied for field sellers, authorize the business process flow for the field seller security role. Microsoft explains that business process flows can be associated with security roles so only users with those roles can view or use them, and that the first active process available for a user's security role is applied by default according to process order.
Do not choose Power Automate to advance the lead; the requirement is to block advancement until a required qualification criterion is completed, not to automate progression. "Switch to a different process" is user action, not a configuration standard.
NEW QUESTION # 54
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
You are deploying AI agents for a company using Microsoft Dynamics 365 Sales.
The company wants to ensure that AI usage is tracked and billed monthly.
The company requires that AI billing uses pre-paid credits.
You need to configure the billing based on the requirements.
Solution: Configure capacity overages to the billing plan on the Dynamics 365 Sales environment.
Does the solution meet the goal?
Answer: A
Explanation:
The solution does not meet the goal. The requirement is explicit: AI billing must use pre-paid credits. Microsoft's Dynamics 365 Sales billing guidance separates Copilot and agent billing into two models:
prepaid capacity and pay-as-you-go. Prepaid capacity uses Copilot Studio message pack subscriptions that are purchased in advance, while pay-as-you-go bills for the actual number of messages consumed during the month.
Configuring capacity overages to a billing plan is not the prepaid-credit model. Overages are tied to consumption beyond allocated capacity and are handled through billing-plan/pay-as-you-go behavior. That conflicts with the requirement to use pre-purchased credits. For prepaid billing, the correct approach is to purchase Copilot Studio message packs or capacity packs and assign that prepaid capacity to the Dynamics 365/Power Platform environment. Microsoft's Power Platform capacity guidance states that prepaid capacity can be assigned to environments, and when prepaid capacity is exhausted, administrators must reallocate capacity, purchase more credits, or enable pay-as-you-go billing.
Therefore, configuring overages may support monthly usage billing, but it does not satisfy the stated requirement that billing must use prepaid credits.
NEW QUESTION # 55
You configure Dynamics 365 Sales for a company.
The company plans to implement the Sales Close Agent in Research mode.
You need to identify the capabilities of the agent.
Which two capabilities should you identify? Each correct answer presents a complete solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
The correct Research mode capabilities are analyzing historical interaction data to generate opportunity insights and reviewing deal signals with risks and recommended mitigations . Microsoft's Sales Opportunity Agent documentation describes the opportunity-focused agent as helping sellers focus on important opportunities by identifying high-value and at-risk deals, providing critical insights and recommendations, and helping sellers mitigate risks. Microsoft also states that the agent gathers information from multiple sources and provides a streamlined research experience, stakeholder and competitor intelligence, and actionable risk mitigation strategies.
Option C is correct because the agent uses opportunity context, CRM history, emails, meetings, and other available signals to generate deal insights. Option D is also correct because Microsoft's Responsible AI FAQ specifically identifies early risk detection and recommended mitigation strategies based on historical data and communication analysis. Options A and B describe customer engagement behavior: running sales sequences or initiating follow-up communication. That belongs to engagement automation, not Research mode. Option E is too workflow-task oriented; Research mode surfaces insights and recommendations, but it is not primarily a task-generation or outreach automation engine.
References/topics: Sales Close Agent Research mode; Sales Opportunity Agent; opportunity insights; deal signals; risk mitigation; intelligent opportunity research.
NEW QUESTION # 56
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