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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure Dynamics 365 Sales core features for AI | 15–20% | - Evaluate prerequisites for deploying Sales - Examine Sales security model - Configure timeline and data import/export - Configure mailboxes and business process flows |
| Topic 2: Develop deals using intelligent opportunity research | 25–30% | - Configure and use Sales Research Agent insights - Configure Sales Close Agent and interpret actions - Optimize opportunity management and pipeline views |
| 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: Optimize AI-driven sales | 20–25% | - Set up conversational intelligence and forecasting - Design AI-first sales strategy with Copilot and agents - Prepare and deploy AI agents in Sales - Configure predictive scoring and relationship intelligence |
| Topic 5: 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 |
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NEW QUESTION # 71
A company is using Dynamics 365 Sales.
The company is NOT using predictive lead scoring. The company has historical sales records for the last three years.
You need to configure a predictive lead scoring model.
What is the minimum number of records required?
Answer: B
Explanation:
The minimum dataset for a predictive lead scoring model is 40 qualified leads and 40 disqualified leads. Microsoft's Dynamics 365 Sales documentation states that an organization must have created and closed at least 40 qualified and 40 disqualified leads within the selected training period to train the model. The broader lead and opportunity scoring documentation confirms the same threshold and distinguishes lead scoring from opportunity scoring: lead scoring requires qualified and disqualified leads, while opportunity scoring requires won and lost opportunities.
This distinction is critical. Predictive lead scoring predicts the likelihood that a lead will qualify or convert based on historical lead outcomes, so the model needs examples of both successful and unsuccessful lead qualification results. Won and lost opportunities are not the correct training records for lead scoring; they apply to predictive opportunity scoring. The question also states that the company has historical sales records for three years, but the model requirement is based on the minimum qualifying lead dataset, not merely the total age of available data. Therefore, the required minimum is 40 qualified leads and 40 disqualified leads.
NEW QUESTION # 72
A seller asks Copilot to prepare for an upcoming customer meeting. The customer has multiple open opportunities, recent emails, and support cases. What should Copilot primarily generate?
Answer: A
Explanation:
Copilot can generate meeting preparation summaries by combining CRM records, customer communications, opportunity status, and related activities. The summary provides sellers with relevant business context before customer meetings, improving readiness while reducing manual research.
NEW QUESTION # 73
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.
A company is evaluating AI agent capabilities for opportunity management.
Sales managers require insights about deals. You must ensure that the system does not perform automatic outreach to buyers.
You need to determine whether proposed solutions meet the requirements.
Solution: Configure the Sales Close Agent in Research mode.
Does the solution meet the goal?
Answer: B
Explanation:
Yes, the solution meets the goal. The requirement is very specific: sales managers need deal insights, but the organization must avoid automatic outreach to buyers. Sales Close Agent in Research mode is the correct configuration because it focuses on researching opportunities, analyzing deal context, identifying risks and signals, and providing recommendations to sellers without autonomously engaging customers.
Research mode is intended to help sellers understand an opportunity more quickly by surfacing insights such as deal health, signals, risks, and suggested next actions. It supports opportunity management by giving the team intelligence that can help progress deals, while leaving communication decisions in the hands of the seller. That directly aligns with the stated requirement for insights about deals.
The critical distinction is that Engage mode is the mode that performs automated outreach and customer interaction. Since the company explicitly does not want automatic outreach to buyers, Engage mode would violate the requirement. By configuring the Sales Close Agent in Research mode, the company gets AI-assisted opportunity analysis without autonomous communications.
NEW QUESTION # 74
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: A
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 # 75
A company is using Dynamics 365 Sales and Microsoft 365.
The company has the following requirements for sales representatives:
Must store opportunity files in a central location.
Must collaborate using chat conversations associated with sales records.
You need to configure the required integrations.
Which two integrations should you configure? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: D,E
NEW QUESTION # 76
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