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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Qualify and prioritize leads by using AI | 15-20% | - Fine-tune predictive lead scoring models - Implement Sales Qualification Agent - Automate lead routing and prioritization - Configure lead qualification processes |
| Topic 2: Configure Dynamics 365 Sales core features for AI | 15-20% | - Integrate Microsoft Power Platform components - Design and configure sales data model - Configure security and access for AI features - Set up core sales entities and relationships |
| Topic 3: Extend and enhance sales solutions with AI | 10-15% | - Deploy and manage AI agents - Configure reporting and visualization - Implement collaboration features - Monitor and optimize AI performance |
| Topic 4: Optimize AI-driven sales workflows and insights | 20-25% | - Configure Sales accelerator and work distribution - Implement predictive scoring and relationship intelligence - Set up conversational intelligence - Configure Copilot for Sales |
| Topic 5: Develop deals by using intelligent opportunity research | 25-30% | - Use AI for opportunity research and insights - Deploy and configure Sales Close Agent - Optimize opportunity management workflows - Configure forecasting and goal management |
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NEW QUESTION # 66
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: Configure capacity overages to the billing plan on the Dynamics 365 Sales environment.
Does the solution meet the goal?
Answer: A
Explanation:
The solution does not meet the goal. The requirement is explicit: AI billing must use pre-paid credits. Microsoft's Dynamics 365 Sales billing guidance separates 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 bills for the actual number of messages consumed during the month.
Configuring capacity overages to a billing plan is not the prepaid-credit model. Overages are tied to consumption beyond allocated capacity and are handled through billing-plan/pay-as-you-go behavior. That conflicts with the requirement to use pre-purchased credits. For prepaid billing, the correct approach is to purchase Copilot Studio message packs or capacity packs and assign that prepaid capacity to the Dynamics 365/Power Platform environment. Microsoft's Power Platform capacity guidance states that prepaid capacity can be assigned to environments, and when prepaid capacity is exhausted, administrators must reallocate capacity, purchase more credits, or enable pay-as-you-go billing.
Therefore, configuring overages may support monthly usage billing, but it does not satisfy the stated requirement that billing must use prepaid credits.
NEW QUESTION # 67
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 .
References/topics: Predictive lead scoring; lead scoring model prerequisites; qualified leads; disqualified leads; AI-driven lead prioritization.
NEW QUESTION # 68
An organization wants Copilot responses to include CRM information while respecting existing security permissions. What should administrators expect?
Answer: A
Explanation:
Copilot follows existing Dynamics 365 security models and only surfaces information users are already authorized to access. This ensures AI-generated responses remain consistent with organizational security and data governance policies.
NEW QUESTION # 69
A regional manager wants to determine whether a declining opportunity score resulted from reduced customer engagement rather than pricing changes. Which feature provides the most relevant insight?
Answer: B
Explanation:
Relationship Analytics monitors communication frequency, responsiveness, and engagement quality between sellers and customers. Managers can review interaction trends to understand whether reduced communication contributed to declining opportunity health instead of pricing or product-related factors.
NEW QUESTION # 70
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: D
NEW QUESTION # 71
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