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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% | - Integration with Microsoft Copilot and Power Platform - Extending Dynamics 365 Sales with AI capabilities |
| Topic 3: Qualify and prioritize leads using AI | 15–20% | - Lead scoring and qualification models - AI-driven lead prioritization workflows |
| 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 # 85
You are implementing an agent in Dynamics 365 Sales for a company.
The customer runs weekly webinars that generate thousands of inbound leads.
The sales team needs to automate the first part of qualification but transfer promising leads to sellers.
The marketing team needs to analyze lead information and determine qualification possibility. However, all outreach to prospects must be managed by human sellers due to compliance requirements.
You have the following requirements for the agent:
. The agent must research inbound leads and if they match the target customer profile.
. The agent must evaluate Budget, Authority, Need, and Timeline during early engagement before transferring to sellers.
. The agent must send the initial outreach email automatically, manage responses, and detect positive intent.
. The leads that do NOT match the target customer profile should be disqualified automatically, and sales supervisors should be notified.
. The qualified and positive intent leads should be transferred to sellers.
You need to determine which configuration should be used.
Which agent and mode should you use?
Answer: A
Explanation:
The correct configuration is Sales Qualification Agent in Research and engage mode . The question contains one conflicting sentence about human-managed outreach, but the explicit agent requirements require autonomous outreach, response handling, BANT evaluation, positive-intent detection, disqualification of poor- fit leads, supervisor notification, and seller handoff. Those capabilities map only to Research and engage mode.
Microsoft's Sales Qualification Agent documentation states that both modes can research leads and check target customer profile fit, but only Research and engage mode checks BANT criteria, sends outreach emails, detects positive intent, sends follow-up emails, and engages with leads based on their responses.
Microsoft's handoff criteria documentation also states that BANT criteria are only used by Research and engage mode, and that leads satisfying BANT and purchase-interest criteria are handed over to sellers, while leads that do not satisfy the configured criteria are disqualified and added for supervisor review.
Option B or D would be correct only if the controlling requirement were strictly "human sellers must manage all outreach." But the listed automation requirements go beyond Research-only mode, so the exam answer is C
.
References/topics: Sales Qualification Agent; Research and engage mode; target customer profile; BANT; purchase intent; lead handoff; supervisor review.
NEW QUESTION # 86
A company plans to implement Dynamics 365 Sales and wants to design a Dataverse data model that supports AI-driven insights across the sales lifecycle.
The company must be able to track the progression of a deal from initial prospect identification through to finalized billing.
The data model must support the following requirements:
- Prospects must be captured before they become qualified sales deals.
- Qualified deals must support forecasting and pipeline analysis.
- Sales teams must be able to generate pricing proposals for customers.
- Accepted proposals must transition into fulfillment records and then
final billing records.
You need to design the Dataverse table model that supports the required sales lifecycle.
Which table relationship should you implement?
Answer: C
Explanation:
The correct sales lifecycle is Lead -> Opportunity -> Quote -> Order -> Invoice. In Dynamics 365 Sales, a lead captures an initial prospect before the person or organization is qualified.
Microsoft's sales process guidance explains that sellers generally work with leads during the qualifying stage, and the goal is to qualify and advance the lead to the next stage of the sales process. Once qualified, the deal becomes an opportunity, which is the record used for pipeline tracking, revenue estimation, sales stages, probability, and forecasting analysis. Microsoft's prospect-to-quote guidance states that Dynamics 365 Sales supports capturing, managing, scoring, and converting leads into opportunities when qualification criteria are met.
Quotes are then created from opportunities to present pricing proposals to customers. Microsoft states that quotes created from opportunities are prefilled with opportunity details and products.
Once the proposal is accepted, the quote can be converted into a sales order for fulfillment and then into an invoice for billing; Microsoft's quote/order/invoice process sample explicitly demonstrates converting an opportunity to a quote, a quote to a sales order, and a sales order to an invoice. Therefore, option B is the only sequence that correctly supports the full sales lifecycle.
NEW QUESTION # 87
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 an Azure subscription.
Does the solution meet the goal?
Answer: B
Explanation:
The solution does not meet the goal. Creating an Azure subscription is associated with pay-as-you-go billing scenarios, not the required pre-paid credits model. Microsoft's Dynamics 365 Sales agent billing guidance states that Sales Copilot and agent capabilities support two billing models: prepaid capacity and pay-as-you- go . Prepaid capacity uses Copilot Studio message pack subscriptions purchased in advance, while pay-as- you-go bills for actual message consumption during the month.
Because the requirement explicitly says AI billing must use pre-paid credits , the correct approach is to purchase Copilot Studio message packs or Copilot Credits and assign/manage that capacity for the relevant environment. Power Platform guidance explains that Copilot Studio credits/capacity are managed and monitored through the Power Platform admin center, and if prepaid capacity is exhausted, admins must reallocate capacity, purchase more credits, or enable pay-as-you-go. An Azure subscription may be required for pay-as-you-go cost management, but it does not satisfy a prepaid-credit requirement by itself. Therefore, the proposed solution is incorrect.
References/topics: Dynamics 365 Sales agent billing; prepaid capacity; Copilot Studio message packs; Copilot Credits; pay-as-you-go billing.
NEW QUESTION # 88
You configure Dynamics 365 Sales for a company.
Sales managers require sellers to use a structured lead qualification process before converting leads to opportunities.
You need to ensure sellers use a structured lead qualification process.
What should you configure?
Answer: E
Explanation:
The correct configuration is Business process flow . A structured lead qualification process requires sellers to move through defined stages and steps before a lead is converted into an opportunity. Microsoft describes business process flows as a way to guide users through stages of sales, marketing, or service processes toward completion. Business process flows can also include branching logic and defined steps, which makes them the correct mechanism for standardizing how sellers qualify leads before conversion.
The other options do not enforce a structured qualification path. Sales accelerator helps prioritize seller activities and guide daily work, but it is not the core process-control mechanism for lead qualification. Lead activity timeline displays activities, emails, notes, and interactions; it does not define qualification stages.
Lead assignment rules route leads to sellers or teams, but they do not structure the seller's qualification steps. Predictive lead scoring helps prioritize leads by likelihood to qualify, but it does not require sellers to complete a defined qualification process. Therefore, to make sellers follow a controlled lead qualification sequence before converting leads to opportunities, configure a Business process flow .
References/topics: Business process flows; lead qualification; structured sales process; lead-to- opportunity conversion; Dynamics 365 Sales process guidance.
NEW QUESTION # 89
A sales administrator evaluates AI recommendations after several months and notices increasing prediction accuracy. What most likely contributed to this improvement?
Answer: D
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 # 90
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