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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Optimize AI-driven sales | 20–25% | - Copilot and AI assistant capabilities in Sales - Sales productivity and automation enhancement |
| Topic 2: Qualify and prioritize leads using AI | 15–20% | - Lead scoring and qualification models - AI-driven lead prioritization workflows |
| Topic 3: Extend and enhance Sales | 10–15% | - Extending Dynamics 365 Sales with AI capabilities - Integration with Microsoft Copilot and Power Platform |
| 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% | - AI-assisted deal progression strategies - Opportunity insights and forecasting |
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NEW QUESTION # 19
Case Study 1 - AdventureWorks
Background
AdventureWorks Cycles is a global manufacturer of high-performance bicycles headquartered in Seattle. The company sells products through distributors, specialty retailers, and a growing direct- to-consumer online channel. AdventureWorks Cycles recently expanded its product catalog to include the athlete package. This package includes a cycle, connected devices and subscription- based analytics services.
To support this expansion, the company wants to modernize its sales operations by implementing Microsoft Dynamics 365 Sales. The leadership team wants sellers to focus on building relationships with distributors and enterprise buyers rather than manually qualifying leads or assembling product packages.
The sales operations team is responsible for configuring the Dynamics 365 Sales environment.
Their goal is to implement Al-driven processes that streamline the lead-to-cash workflow while ensuring that sellers can easily identify the most promising opportunities.
Current Environment
AdventureWorks Cycles previously used a legacy CRM system that tracked leads and opportunities but lacked predictive intelligence or automated lead qualification. Sellers manually evaluate incoming leads, which creates delays and inconsistent prioritization.
The global sales team manages approximately 15,000 leads per month generated from marketing campaigns, trade shows, and partner referrals.
Product data is stored in multiple systems. Product managers maintain products and pricing in spreadsheets. Information regarding custom relationships, competitor analysis, and region- specific marketing content is stored in a SharePoint site called the sales portfolio.
The organization has identified several challenges they want to resolve with a new solution:
Sellers often spend significant time researching leads that ultimately do not convert.
Regional managers require in-depth reporting using information from the sales pipeline and seller activities, the point-of-sale solution, website analytics, and the accounting system.
Multiple product offerings are difficult to manage because components are defined in different systems.
Team leads require real-time information on active opportunities, as well as visibility of seller's appointments and phone calls, without needing to navigate into multiple views.
All sellers are assigned Dynamics 365 Sales Enterprise licenses, Also, the CFO has requested that Copilot message packs are pre-purchased by using the Copilot Studio subscription license.
A Dynamics 365 sales sandbox environment has been in use for six months. There are 60 leads records with 30 records that are qualified and 20 that are disqualified. Ten of the qualified leads are over three months old.
Business Requirements:
AdventureWorks Cycles has defined the following business requirements for the production environment of Dynamics 365 Sales:
Sellers in all regions should be able to review the new mountaineer cycles. The cycles include economy and premium fittings. When creating opportunities, sellers should be able to select a metal type when adding a mountaineer cycle to an opportunity. The metal types include chrome, aluminum, and titanium.
Pricing managers must be able to create deals for the same products in their own currencies and at their own prices, without reference to the cost of the product.
Sellers must be able to quickly view their own opportunities by phase.
Predictive scoring should be enabled for leads created within the last three months in the sandbox environment. This should provide seller training on the scoring's interpretation and usage.
A segment of leads named Hot is needed that will contain all leads where the source is phone, employee referral or partner. Leads from this segment should be distributed to sellers by using a round robin method.
Agents should not be able to take action on any data that is created in the production environment before they are started.
All sellers should be able to access disqualified leads.
Technical Information and Requirements:
The new Dynamics 365 Sales environment must meet the following technical requirements:
Agents must use a dedicated service identity to execute write actions with a controlled security role in Dataverse.
The sales operations team lead must be assigned the Power Platform administrator role.
The lead pricing manager must be assigned to the Microsoft 365 billing admin role.
The vice president of sales must be assigned the Al admin role.
A sandbox and a production environment must be created. Both of the environments must be enabled for Al capacity, but usage should be capped on the sandbox environment.
A trial environment must be created, with the Sales Qualification Agent configured to business requirements.
Sellers must be assigned the security roles on the production environment only.
All sellers must be assigned a customized version of the salesperson role. This role should grant read access only to the leads that the sellers own.
The EnableRoleBasedSystemViews property must be set to true for the production environment.
No Azure subscriptions are available in the tenant.
Issues:
During early testing, the sales operations team identify the following issues:
The Sales Qualification Agent has disqualified several leads in the trial environment. The vice president of sales has requested to understand the reason for the disqualified leads.
Sellers are unable to create agents in the production environment.
Agent consumption has been unreliable. The company requires that Al capacity is always available to sellers.
You need to allow sellers to view leads disqualified by the Sales Qualification Agent in production.
Which two actions should you perform? Each correct answer presents part of the solution.
Choose two.
Answer: B,D
Explanation:
The required fix is about visibility and security, not agent operating mode. In the scenario, production has EnableRoleBasedSystemViews set to true, which restricts system views based on role configuration. Because the business requirement says all sellers should be able to access disqualified leads, the role-based system view setting must be updated so sellers can access the view that exposes leads disqualified by the Sales Qualification Agent.
The second required action is to change Lead table permissions. The customized Salesperson role currently grants sellers read access only to leads they own. That is too restrictive because leads disqualified by the Sales Qualification Agent may not be owned by each seller. To let all sellers view those records, sellers need organization-level Read permission on the Lead table.
Option A is wrong because upgrading the agent to research and engage mode affects how the agent researches and interacts with leads; it does not solve seller access to disqualified records.
Option C is also wrong because the look-back period controls which historical leads the agent evaluates, not who can view disqualified leads.
NEW QUESTION # 20
Hotspot Question
You are configuring Microsoft Teams calling for a company. The company uses Dynamics 365 Sales and Microsoft Teams. The Microsoft Teams dialer is enabled with all the prerequisites.
Sellers report the following issues:
- The Microsoft Teams dialer is enabled and the security role is
assigned in the dialer configuration, but sellers in the security role
are not able to access the dialer in Sales Hub.
- Sellers report that their existing third-party telephony system
stopped working in Sales.
- Sellers are able to use the Microsoft Teams dialer in Sales Hub, but
sellers that are using a custom model-driven app are not able to access the dialer.
You need to resolve the issues.
How should you configure the Microsoft Teams dialer setup? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
For the first issue, the security role must be associated with the root business unit. Microsoft states that when Teams dialer is enabled for specific security roles, the selected roles must be associated with the root business unit; otherwise, users do not see the Teams dialer in Sales Hub. Merely assigning the role in the dialer configuration is not enough if the role is not rooted correctly.
For the second issue, Teams dialer conflicts with third-party telephony integrations that use Dynamics 365 Channel Integration Framework. Microsoft explicitly notes that when Microsoft Teams dialer is enabled, other telephony systems connected through Channel Integration Framework stop working for users for whom Teams dialer is enabled. Therefore, sellers who must continue using the third-party telephony system should not have Teams dialer enabled.
For the custom model-driven app issue, the dialer must be made available for that app in the dialer configuration. In the Teams dialer advanced options, administrators select the apps where the dialer should be available; Sales Hub is selected by default, so custom apps must be added explicitly.
NEW QUESTION # 21
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.
NEW QUESTION # 22
You manage Dynamics 365 Sales.
The sales managers want to confirm that the Sales Close Agent generates insights that help progress deals. When monitoring the Sales Close Agent, you observe that some engagements are failing.
You need to determine how the Sales Close Agent handles engagement failures.
How should you expect the agent to behave when an error occurs?
Answer: D
Explanation:
The correct behavior is that the Sales Close Agent retries up to three times within the next hour, using an exponential backoff strategy. If those immediate attempts fail, the system continues retrying the engagement over the next three days. If the engagement still fails after that retry window, the record is marked as a failure. Microsoft's Sales Close Agent documentation explicitly describes this retry pattern for engagement errors and also identifies the possible run statuses as Active, Failure, and Completed.
NEW QUESTION # 23
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.
Answer:
Explanation:
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.
NEW QUESTION # 24
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