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| Section | Weight | Objectives |
|---|---|---|
| Qualify and prioritize leads using AI | 15–20% | - Lead scoring and qualification models - AI-driven lead prioritization workflows |
| Configure Dynamics 365 Sales core features for AI | 15–20% | - Sales environment configuration - Data and process setup for AI features |
| Optimize AI-driven sales | 20–25% | - Sales productivity and automation enhancement - Copilot and AI assistant capabilities in Sales |
| Extend and enhance Sales | 10–15% | - Integration with Microsoft Copilot and Power Platform - Extending Dynamics 365 Sales with AI capabilities |
| Develop deals using intelligent opportunity research | 25–30% | - AI-assisted deal progression strategies - Opportunity insights and forecasting |
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54. Frage
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?
Antwort: D
Begründung:
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.
55. Frage
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?
Antwort: B
Begründung:
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.
56. Frage
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?
Antwort: B
Begründung:
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.
57. Frage
You are configuring Copilot capabilities in Dynamics 365 Sales for a company.
After enabling Copilot, sellers report that the summary insight banner on Opportunities, Leads, and Accounts is missing key business context and history.
You need to ensure that the missing information is displayed.
Which action should you perform?
Antwort: C
Begründung:
The correct action is Configure table auditing . Copilot summaries and recent-change context for Opportunities, Leads, and Accounts depend on audit history. Microsoft's Dynamics 365 Sales Copilot setup guidance states that when Copilot is enabled, administrators can turn on audit history for the Lead, Opportunity, and Account tables, and Copilot needs audit history to display recent changes for those records.
This issue is not solved by predictive scoring or opportunity pipeline settings. Predictive scoring ranks leads or opportunities based on likelihood, but it does not provide historical summary context. The opportunity pipeline view controls how opportunities are displayed and managed in the pipeline, not what Copilot can summarize. AI insight cards are separate guided insight notifications and are not the underlying data-history source for the missing Copilot summary banner context. Microsoft also documents that Copilot's recent changes list is generated from audit history, and if auditing is turned off, the recent changes configuration is unavailable until auditing is enabled. Therefore, table auditing is the required configuration to make key history available for Copilot-generated summaries and recent-change insights.
References/topics: Copilot in Dynamics 365 Sales; record summaries; recent changes; Dataverse table auditing; Lead, Opportunity, and Account tables.
58. Frage
You need to configure AI-powered research capabilities for the sales team.
What should you configure? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all.
Antwort:
Begründung:
Explanation:
Requirement
Configuration
Blueprints
Name the blueprint workspace and pin the workspace.
Questions
Create a business function with seeded prompts.
For Blueprints, the correct configuration is to name the blueprint workspace and pin the workspace. The requirement is not asking to regenerate analysis; it asks for a reliable way to return to frequently used research output. In Sales Research Agent, a generated blueprint exists inside a workspace, and Microsoft states that the workspace displays the workspace name, can be renamed, and can be switched from the workspace menu.
That makes naming and pinning the workspace the correct operational pattern for reusable research access.
For Questions, the correct configuration is to create a business function with seeded prompts. Sales Research Agent business functions are designed to tailor research to a specific use case, and administrators can add starter prompts. Microsoft explains that starter prompts appear on the Sales Research Agent home page for quick access and that the full prompt is sent to the agent when selected. This directly satisfies the requirement to retain a reusable library of approved questions.
Do not select regenerate the blueprint because regeneration refreshes or recreates analysis, but it does not create a persistent shortcut to frequently used research. Do not select custom table or manual prompt questions in Sales Copilot because the native Sales Research Agent feature already supports reusable business- function prompts.
References/topics: Sales Research Agent; research blueprints; workspace management; business functions; seeded/starter prompts; intelligent opportunity research.
59. Frage
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