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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Extend and enhance Sales | 10–15% | - Integration with Microsoft Copilot and Power Platform - Extending Dynamics 365 Sales with AI capabilities |
| Topic 2: Qualify and prioritize leads using AI | 15–20% | - Lead scoring and qualification models - AI-driven lead prioritization workflows |
| Topic 3: Optimize AI-driven sales | 20–25% | - Copilot and AI assistant capabilities in Sales - Sales productivity and automation enhancement |
| Topic 4: Configure Dynamics 365 Sales core features for AI | 15–20% | - Sales environment configuration - Data and process setup for AI features |
| Topic 5: Develop deals using intelligent opportunity research | 25–30% | - Opportunity insights and forecasting - AI-assisted deal progression strategies |
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NEW QUESTION # 54
You need to configure the required billing for Copilot and agent capabilities.
What should you use for each requirement? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation:
Requirement
Tool
Perform purchase required by CFO
Microsoft 365 admin center
Configure Sandbox billing
Power Platform admin center
Configure Production billing
Microsoft 365 admin center
Why: Production requires reliable AI capacity so sellers are not blocked when prepaid Copilot capacity is depleted. The correct production setup is pay-as-you-go / billing policy configuration through the Microsoft
365 admin center . Azure portal is not the best answer here because the scenario says no Azure subscriptions are available , and Microsoft 365 admin center can be used for the billing policy workflow.
Microsoft Agent 365 is for agent management/governance, not billing configuration.
NEW QUESTION # 55
A company uses the Sales Qualification Agent to analyze leads and determine qualification probability.
The Sales Qualification Agent is configured in Research-only mode. The agent processes a lead and determines the lead ' s target customer profile suitability is Low.
You need to determine the outcome of the agent ' s action.
What should you infer about the agent?
Answer: A
Explanation:
The correct outcome is that the agent disqualifies the lead, notifies the supervisor, and the lead continues to be assigned to the agent . In Research-only mode, the Sales Qualification Agent evaluates whether the lead fits the target customer profile. Microsoft states that when target customer profile suitability is high or medium , the lead is handed over to a seller according to the configured assignment rule. When target customer profile suitability is low , the agent disqualifies the lead, notifies the supervisor, and the lead remains assigned to the agent.
Option A is wrong because Research-only mode does not always transfer every lead to a seller; low-fit leads can be disqualified. Option C describes Research and engage behavior, where the agent sends outreach, manages responses, and hands over leads when positive intent is detected. Research-only mode generates outreach drafts but does not send outreach emails or engage with leads. Option D is also wrong because BANT criteria are only used by Research and engage mode, not Research-only mode. Therefore, a low target customer profile suitability result in Research-only mode results in agent disqualification and supervisor notification.
References/topics: Sales Qualification Agent; Research-only mode; target customer profile suitability; lead disqualification; supervisor notification; lead handoff rules.
NEW QUESTION # 56
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: Create an Azure subscription.
Does the solution meet the goal?
Answer: B
Explanation:
The solution does not meet the goal. Creating an Azure subscription is associated with pay-as- you-go billing scenarios, not the required pre-paid credits model. Microsoft's Dynamics 365 Sales agent billing guidance states that Sales Copilot and agent capabilities support two billing models:
prepaid capacity and pay-as-you-go. Prepaid capacity uses Copilot Studio message pack subscriptions purchased in advance, while pay-as-you-go bills for actual message consumption during the month.
Because the requirement explicitly says AI billing must use pre-paid credits, the correct approach is to purchase Copilot Studio message packs or Copilot Credits and assign/manage that capacity for the relevant environment. Power Platform guidance explains that Copilot Studio credits/capacity are managed and monitored through the Power Platform admin center, and if prepaid capacity is exhausted, admins must reallocate capacity, purchase more credits, or enable pay-as-you-go. An Azure subscription may be required for pay-as-you-go cost management, but it does not satisfy a prepaid-credit requirement by itself. Therefore, the proposed solution is incorrect.
NEW QUESTION # 57
Hotspot Question
A company generates leads from a webform. Salespeople manage leads by country/region. All salespeople are part of the same Dynamics 365 Sales team.
The sales manager requires the following functionality:
- Automate lead assignments.
- Ensure each seller can never have more than 20 open leads.
You create a country/region attribute for the process. You must simplify the process. You plan to use segments when possible.
You need to create a lead assignment rule for each country/region.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The clean configuration is to create one reusable segment for webform leads, then add the varying country/region condition inside each country-specific assignment rule. Dynamics 365 Sales assignment rules are built by selecting the eligible segment first, then adding rule conditions to further filter records. Microsoft also recommends splitting conditions between segments and assignment rules to keep rules simpler and more efficient.
For routing to the correct sellers, use sellers with matching attributes. The scenario says salespeople manage leads by country/region and that a country/region attribute has been created. Assignment rules support assigning records to sellers who satisfy matching seller attributes or existing seller record fields, which avoids hardcoding individual sellers and is much easier to maintain as sellers change regions.
For distribution, use load balancing because the requirement is capacity-based: no seller should exceed 20 open leads. Dynamics 365 Sales load balancing distributes records based on seller workload/capacity, and seller capacity is calculated by subtracting active assigned records from the maximum configured capacity. Round robin is weaker here because it primarily considers assignment order, not workload.
NEW QUESTION # 58
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 # 59
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