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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Qualify and prioritize leads using AI | 15–20% | - Configure Sales Qualification Agent and monitor its performance - Fine-tune predictive scoring model - Configure lead and opportunity experience |
| Topic 2: Optimize AI-driven sales | 20–25% | - Set up conversational intelligence and forecasting - Configure predictive scoring and relationship intelligence - Design AI-first sales strategy with Copilot and agents - Prepare and deploy AI agents in Sales |
| Topic 3: Extend and enhance Sales | 10–15% | - Deploy and configure Sales mobile app and Teams calling - Create Power Platform components (Power Automate, Power Apps, Power BI) |
| Topic 4: Configure Dynamics 365 Sales core features for AI | 15–20% | - Examine Sales security model - Evaluate prerequisites for deploying Sales - Configure mailboxes and business process flows - Configure timeline and data import/export |
| Topic 5: Develop deals using intelligent opportunity research | 25–30% | - Optimize opportunity management and pipeline views - Configure and use Sales Research Agent insights - Configure Sales Close Agent and interpret actions |
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NEW QUESTION # 60
A sales administrator evaluates AI recommendations after several months and notices increasing prediction accuracy. What most likely contributed to this improvement?
Answer: C
Explanation:
Machine learning models generally improve as they receive additional high-quality historical data, including successful and unsuccessful opportunities. Larger datasets enable AI to recognize stronger predictive patterns, resulting in increasingly accurate recommendations over time.
NEW QUESTION # 61
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:
Requirement
Configuration
Automatically prioritize leads based on conversion probability
Predictive lead scoring
Ensure the lead scoring improvement requirement is met
Automatically retrain model
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.
References/topics: Predictive lead scoring; lead prioritization; scoring model accuracy; automatic model retraining; AI-driven lead qualification.
NEW QUESTION # 62
Drag and Drop Question
A company uses the Sales Close Agent to assist sellers during the closing phase of opportunities.
The Sales Close Agent must meet the following requirements:
- Recommend targeted action for disengaged deals.
- Generate insights from CRM records, emails, meetings, and web
research into a unified deal view.
- Ensure customer interactions are compliant with company policies.
You need to identify the agent mode for each requirement.
Which agent mode should you recommend? To answer, move the appropriate requirements to the correct agent modes. You may use each agent mode 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 first two requirements belong to Research mode because they are insight-generation functions for opportunity management. Microsoft describes the opportunity-focused Sales agent as identifying risks such as disengaged stakeholders, slowing momentum, and competitive pressure, then recommending targeted actions to keep the deal moving forward. It also provides a comprehensive deal view by surfacing buyer needs, stakeholder roles, competitor mentions, and deal health in one unified place. This directly matches both "recommend targeted action for disengaged deals" and "generate insights from CRM records, emails, meetings, and web research into a unified deal view." The compliance requirement maps to Engage mode because compliance matters when the agent communicates externally with customers. Sales Close Agent Engage mode automates customer engagement through outreach and follow-up emails, and Microsoft states that admins configure an email delivery compliance profile so the agent's communications follow organizational policies and regulatory requirements. Research mode produces insights for sellers; it does not perform customer outreach. Therefore, use Research for opportunity intelligence and Engage for compliant customer interaction.
NEW QUESTION # 63
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 # 64
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 a billing policy for the Dynamics 365 Sales environment.
Does the solution meet the goal?
Answer: B
Explanation:
The solution does not meet the goal because a billing policy for the Dynamics 365 Sales environment is associated with the pay-as-you-go consumption model, not the prepaid-credit model required in the question. Microsoft separates Dynamics 365 Sales 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 charges for the actual number of messages consumed by agents during the month.
For prepaid AI credits, the correct configuration is to purchase the Copilot message pack subscription and then assign that prepaid capacity to the required Power Platform/Dynamics 365 Sales environment. Microsoft's setup steps for prepaid capacity specifically state that admins must purchase Copilot message packs through the Microsoft 365 admin center or Partner Center and assign prepaid capacity to the Power Platform environment through the Power Platform admin center.
So the proposed solution is wrong for the stated requirement. It may support monthly tracked consumption under pay-as-you-go, but it does not satisfy the explicit requirement to use pre-paid credits.
NEW QUESTION # 65
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