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| Section | Weight | Objectives |
|---|---|---|
| Configure Dynamics 365 Sales core features for AI | 15–20% | - Sales environment configuration - Data and process setup for AI features |
| Develop deals using intelligent opportunity research | 25–30% | - Opportunity insights and forecasting - AI-assisted deal progression strategies |
| Extend and enhance Sales | 10–15% | - Integration with Microsoft Copilot and Power Platform - Extending Dynamics 365 Sales with AI capabilities |
| Qualify and prioritize leads using AI | 15–20% | - Lead scoring and qualification models - AI-driven lead prioritization workflows |
| Optimize AI-driven sales | 20–25% | - Copilot and AI assistant capabilities in Sales - Sales productivity and automation enhancement |
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NEW QUESTION # 83
Hotspot Question
A company generates leads from a webform. Salespeople manage leads by country/region. All salespeople are part of the same Dynamics 365 Sales team.
The sales manager requires the following functionality:
- Automate lead assignments.
- Ensure each seller can never have more than 20 open leads.
You create a country/region attribute for the process. You must simplify the process. You plan to use segments when possible.
You need to create a lead assignment rule for each country/region.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The clean configuration is to create one reusable segment for webform leads, then add the varying country/region condition inside each country-specific assignment rule. Dynamics 365 Sales assignment rules are built by selecting the eligible segment first, then adding rule conditions to further filter records. Microsoft also recommends splitting conditions between segments and assignment rules to keep rules simpler and more efficient.
For routing to the correct sellers, use sellers with matching attributes. The scenario says salespeople manage leads by country/region and that a country/region attribute has been created. Assignment rules support assigning records to sellers who satisfy matching seller attributes or existing seller record fields, which avoids hardcoding individual sellers and is much easier to maintain as sellers change regions.
For distribution, use load balancing because the requirement is capacity-based: no seller should exceed 20 open leads. Dynamics 365 Sales load balancing distributes records based on seller workload/capacity, and seller capacity is calculated by subtracting active assigned records from the maximum configured capacity. Round robin is weaker here because it primarily considers assignment order, not workload.
NEW QUESTION # 84
A sales team uses Dynamics 365 Sales to manage leads and opportunities.
Sales managers must be able to ensure that every qualified lead results in a follow-up task for the opportunity owner.
You need to create an automated solution by using Power Automate.
Which type of trigger should you use to start the flow?
Answer: C
Explanation:
The correct trigger type is Automated. The requirement is event-driven: when a lead is qualified and an opportunity is created or updated, the system must automatically create a follow-up task for the opportunity owner. In Power Automate, this is implemented as an automated cloud flow that starts when a Dataverse event occurs, such as when a row is added, modified, or deleted.
Microsoft's Dataverse trigger documentation states that the When a row is added, modified or deleted trigger runs a flow whenever a selected Dataverse table row is created or changed.
A scheduled trigger is wrong because the requirement is not time-based. Running the process hourly or daily would delay task creation and could miss the intended immediate follow-up behavior. An instant trigger is also wrong because it requires a user to manually start the flow.
Microsoft describes instant cloud flows as manually triggered flows, while automated flows run after an event triggers them. For this case, the flow should listen for the qualifying lead or opportunity event in Dataverse, then create the follow-up task and assign it to the opportunity owner.
NEW QUESTION # 85
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: E
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.
References/topics: Lead management; opportunity pipeline; quote creation; order fulfillment; invoice billing; Dataverse Sales tables.
NEW QUESTION # 86
You are responsible for improving lead prioritization in Dynamics 365 Sales.
Sales managers report that predictive scores do not match current conversion trends.
You need to edit the predictive lead scoring model to improve accuracy based on recent lead data.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
The correct sequence starts by opening and configuring the predictive scoring settings for lead scoring. The administrator must access the predictive lead scoring configuration page before changing the model.
Microsoft's predictive scoring configuration guidance states that the Predictive lead scoring page is where administrators configure model settings, including model criteria and field behavior.
Next, the administrator should edit model attributes . This is the actual model-tuning step. Microsoft states that Edit model is used to update or add fields that affect the prediction accuracy score, especially when the organization wants the model to consider different fields or a unique business process.
After modifying the attributes, the model must be retrained . Retraining is required when prediction accuracy does not meet expectations or when recent data should be incorporated. Microsoft explains that retraining uses the latest leads in the organization so the model can provide more accurate scores.
Finally, the administrator must verify predictive score accuracy by reviewing the model accuracy and performance. Exporting all lead records is unnecessary, and editing health score grading applies to opportunity health scoring, not predictive lead scoring.
References/topics: Predictive lead scoring; model attributes; model retraining; scoring accuracy; lead prioritization in Dynamics 365 Sales.
NEW QUESTION # 87
A sales manager needs to set up goals in Dynamics 365 Sales for salespeople.
The measurement of goals must be based on the total deal amount upon closing an opportunity.
The fiscal year for the goals must be based on the calendar year.
You need to create the rollup query for the goal metrics.
Which options should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Parameter
Option
Entity
Opportunity
Date field
Actual Close Date
Revenue field
Actual Revenue
The correct table is Opportunity because the goal measurement is based on deal amounts when opportunities are closed. In Dynamics 365 Sales goal metrics, rollup fields define which table and source attribute are used to calculate actual or in-progress goal values. Microsoft's goal metric documentation gives the direct example of using the Opportunity table with the opportunity actual value/source attribute to track actual money amounts from opportunities closed as Won .
The correct date field is Actual Close Date because the goal period must be determined by when the deal was actually closed, not when the opportunity was created. Microsoft's goal metric configuration guidance states that the Date Field determines the goal period that records roll up into, and gives Actual Close Date as the relevant example.
The correct revenue field is Actual Revenue because the requirement is based on the total deal amount upon closing the opportunity. Budget Amount and Total Amount do not represent the final closed deal value for goal actuals. Goal rollup fields calculate actual performance values for completed measurable results, which fits closed opportunity revenue.
References/topics: Dynamics 365 Sales goals; goal metrics; rollup fields; opportunity actual revenue; actual close date; sales performance tracking.
NEW QUESTION # 88
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