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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Develop deals using intelligent opportunity research | 25–30% | - Configure Sales Close Agent and interpret actions - Optimize opportunity management and pipeline views - Configure and use Sales Research Agent insights |
| Topic 2: 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 3: Optimize AI-driven sales | 20–25% | - Prepare and deploy AI agents in Sales - Configure predictive scoring and relationship intelligence - Set up conversational intelligence and forecasting - Design AI-first sales strategy with Copilot and agents |
| Topic 4: 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 5: Qualify and prioritize leads using AI | 15–20% | - Configure lead and opportunity experience - Fine-tune predictive scoring model - Configure Sales Qualification Agent and monitor its performance |
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NEW QUESTION # 49
Drag and Drop Question
A company tracks opportunities using the pipeline view.
The sales managers want pipeline stages configured so they can quickly identify deal progress.
The configuration must meet the following requirements:
- Open the Pipeline view by default in Opportunities.
- Open a specific form for the opportunity side panel.
- Provide the ability to expand or collapse the grid by sections, for
example Owner or Account.
- Display the average value at the bottom of the grid.
You need to identify the opportunity configuration.
Which configuration should you apply for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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:
To open the Pipeline view by default, configure the Opportunity main form by adding the Pipeline view control for Opportunities. Microsoft states that the read-only grid is the default view for opportunities, but administrators can set the Opportunities pipeline view as the default by customizing the Opportunity table form and adding the Pipeline view component. The configuration includes selecting the Opportunities table, choosing the opportunity view, and enabling grouping and aggregation.
To open a specific form in the opportunity side panel, use Set the default Opportunity form.
Microsoft's configuration guidance states that when sellers open an opportunity from the pipeline view, the side panel displays opportunity details, and administrators can change the default side- panel form to the main opportunity form or a custom form.
For expanding/collapsing by sections such as Owner or Account and displaying average values at the bottom of the grid, enable aggregation/grouping behavior on the Pipeline view control.
Microsoft states that Enable grouping and Enable aggregation allow sellers to group and aggregate opportunities in the pipeline view. This supports sectioned grid behavior and aggregate values such as average, sum, or count. The quick create form is irrelevant because it controls record creation, not pipeline display behavior.
NEW QUESTION # 50
A company uses AI agents to support opportunity management.
Sales managers require sellers to collaborate with the Dynamics 365 Sales AI agent for the following scenarios:
. Assessing opportunity risk.
. Recommending opportunity products to clients automatically.
. Prioritizing opportunities that are gaining traction.
You need to determine the AI agent that should be used for each scenario.
Which agent should you use for each? To answer, move the appropriate agents to the correct scenarios. You may use each agent 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 Sales Close Agent in Research mode is the correct fit for assessing opportunity risk and prioritizing opportunities that are gaining traction. Microsoft's AI agents guidance states that the opportunity-focused sales agent helps sellers close deals faster by autonomously researching opportunities, providing visibility into emerging risks, and highlighting promising opportunities. It is designed to identify high-value and at-risk opportunities so sellers can prioritize their effort and act on critical insights.
The Sales Close Agent in Engage mode is the correct fit for recommending opportunity products to clients automatically. Microsoft describes Sales Close Agent as an autonomous agent for high-velocity sales execution that engages customers, recommends products, handles objections, and drives transactions toward closure using configured product catalog and pricing information.
The Sales Qualification Agent is not appropriate for these scenarios because it is lead-focused, not opportunity-focused. It researches inbound leads, evaluates fit, generates outreach, and can hand promising leads to sellers depending on the configured mode. It does not manage opportunity risk, opportunity traction, or client product recommendations for active deals.
References/topics: Sales Close Agent; opportunity research; opportunity risk; opportunity prioritization; Sales Close Agent Engage mode; product recommendations.
NEW QUESTION # 51
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 # 52
You need to automate the quote approval process.
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:
* Create a Power Automate cloud flow.
* Add a Dataverse trigger.
* Define an approval step.
* Test and activate the flow.
The correct automation pattern is an automated Power Automate cloud flow triggered by a Dataverse event.
The case study states that the process must notify the seller's manager when a draft quote is created and requires approval, and that approvals must use the Power Automate Approvals connector. Therefore, the flow should first be created as a cloud flow, then started by a Dataverse trigger such as when a row is added, modified, or deleted on the Quote table, filtered for the draft quote condition. Microsoft's Dataverse trigger guidance confirms that this trigger runs when a selected Dataverse table row is created, modified, or deleted.
After the trigger is defined, the flow must include an approval step using Power Automate approvals.
Microsoft's approval workflow guidance states that Power Automate can manage approvals across services including Dynamics 365 and Dataverse-based processes. The final action is to test and activate the flow so the quote approval automation is available to users. Do not use a scheduled trigger because the requirement is event-driven, not time-based. Do not connect to the existing desktop flow because that desktop flow processes partner orders for fulfillment, not draft quote approvals. A Teams step is optional collaboration, not the required approval mechanism.
References/topics: Power Automate cloud flows; Dataverse triggers; Approvals connector; Dynamics 365 Sales quote approval automation; sales platform extension.
NEW QUESTION # 53
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:
Requirement
Configuration
Filter leads for assignment
Create a segment to filter the lead source. Add country/region as an additional condition.
Assign the country/region to the correct group
Assign the country/region to sellers with matching attributes.
Distribute leads to salespeople
Use load balancing.
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.
References/topics: Sales accelerator work assignment; segments; lead assignment rules; seller attributes; seller capacity; load balancing.
NEW QUESTION # 54
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