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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: Extend and enhance Sales | 10–15% | - Extending Dynamics 365 Sales with AI capabilities - Integration with Microsoft Copilot and Power Platform |
| Topic 3: Configure Dynamics 365 Sales core features for AI | 15–20% | - Data and process setup for AI features - Sales environment configuration |
| Topic 4: Qualify and prioritize leads using AI | 15–20% | - Lead scoring and qualification models - AI-driven lead prioritization workflows |
| 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 # 27
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: A,C
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 # 28
A sales manager wants AI-generated forecasts but also requires representatives to adjust projections when unique business circumstances exist. Which statement is correct?
Answer: B
Explanation:
Dynamics 365 forecasting combines AI-generated insights with seller expertise. Representatives and managers can review predicted outcomes and manually adjust forecasts when exceptional circumstances or business knowledge justify modifications beyond AI recommendations.
NEW QUESTION # 29
You manage Dynamics 365 Sales for a company.
A sales manager wants a weekly performance view of the Sales Close Agent in Research mode.
The sales manager also reports that a specific Opportunity stopped receiving automated outreach from the Sales Close Agent in Engage mode.
You need to do the following:
. Determine if the engagement for the opportunity record is pending, completed, or failed.
. Provide a performance view that includes the Last refreshed and the time period filter.
You need to identify the correct monitoring metrics for each requirement.
Which metrics should you review? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Requirement
Component
Record engagement is pending, completed, or failed
Sales Agent Runs table view
Weekly performance view of the Sales Close Agent in Research mode
Insights and metrics for the Sales Close Agent
For a specific opportunity that stopped receiving automated outreach, use the Sales Agent Runs table view .
Microsoft states that to resolve the engagement status of a specific record, administrators can go to the sales agent run record view and filter the Regarding column by the record of interest. The Status field shows whether the engagement is Active , Failure , or Completed ; Active means pending, Failure means the engagement failed, and Completed means it finished successfully.
For the manager's weekly performance requirement, use Insights and metrics for the Sales Close Agent .
That is the performance reporting surface for the agent, not the per-record run table. The requirement specifically mentions a weekly performance view plus Last refreshed and a time period filter , which maps to the agent's insights dashboard/metrics area. The Sales Agent Runs view is operational monitoring for individual records, while the insights and metrics view is for aggregate performance analysis such as engagement outcomes, response rates, and trend monitoring. Do not select Engage settings because settings configure how the agent behaves; they do not provide performance metrics. Opportunity pipeline view helps sellers manage opportunities, but it is not the agent performance monitoring dashboard.
References/topics: Sales Close Agent monitoring; Sales Agent Runs table; engagement status; Sales Close Agent insights and metrics; Research mode performance reporting.
NEW QUESTION # 30
You are preparing to deploy AI agents for a company ' s sellers.
The company wants to ensure that AI capacity is available before agents begin operating.
You need to configure Dynamics 365 so AI agents can consume AI credits.
Which action should you perform?
Answer: B
Explanation:
The correct action is to assign AI capacity to the Dynamics 365 environment . AI agents and AI-powered features run inside a Power Platform/Dynamics 365 environment, and the environment must have available AI capacity or credits before those features can execute reliably. Microsoft's AI capacity guidance states that once acquired, AI credits can be allocated or assigned to a specific environment, and when an environment has access to the credits, AI features are enabled in that environment. It also states that if consumption exceeds available credits, some features may be blocked.
Option A is wrong because creating a new environment does not automatically provide AI capacity. The existing Dynamics 365 Sales environment can consume AI credits only when capacity is assigned or available to it. Option C is also wrong because Copilot Studio author permissions allow users to design or create agents; that is an authoring permission, not a capacity configuration. Option D is useful after deployment because administrators can monitor consumption in the Power Platform admin center, but monitoring does not make credits available. Microsoft also notes that AI Builder capacity is licensed as an add-on that must be allocated to a Power Platform environment by an administrator.
References/topics: AI capacity allocation; Copilot/AI credits; Power Platform environment capacity; Dynamics 365 Sales AI agents; agent deployment prerequisites.
NEW QUESTION # 31
Drag and Drop Question
A company is using Dynamics 365 Sales.
The company wants sellers to use a repeatable sequence for opportunities. The company has the following requirements for the opportunity stages:
- Must define the flow of work sellers must complete before closing an
opportunity.
- Must guide sellers through data entry at each stage.
- Must report on the business process flow execution.
- Must ensure background process occurs after stage changes.
You need to configure a solution for each requirement.
Which configuration should you use for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The correct solution is based on the Opportunity Sales Process business process flow. Business process flow stages define the sequence of work sellers must follow, such as qualifying, developing, proposing, and closing an opportunity. These stages give sellers a repeatable, controlled path through the opportunity lifecycle and align execution with the organization's sales methodology.
Required step fields are used to guide data entry inside each stage. A business process flow stage can contain steps mapped to Dataverse columns, and marking a step as required ensures sellers complete key information before moving forward. This directly supports consistent opportunity data capture.
For reporting on business process flow execution, use the Active Opportunity Sales Process view. Business process flows have process instance records that can be viewed and reported on, allowing managers to monitor active process execution, stage progress, and process usage.
To run background logic after stage changes, use a Power Automate cloud flow. A cloud flow can react to Dataverse changes and perform automation such as notifications, updates, approvals, or follow-up task creation after a stage transition occurs.
NEW QUESTION # 32
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