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| Section | Weight | Objectives |
|---|---|---|
| Extend and enhance Sales | 10–15% | - Integration with Microsoft Copilot and Power Platform - Extending Dynamics 365 Sales with AI capabilities |
| 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% | - AI-assisted deal progression strategies - Opportunity insights and forecasting |
| Optimize AI-driven sales | 20–25% | - Sales productivity and automation enhancement - Copilot and AI assistant capabilities in Sales |
| Qualify and prioritize leads using AI | 15–20% | - Lead scoring and qualification models - AI-driven lead prioritization workflows |
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NEW QUESTION # 38
A representative asks Copilot why an opportunity is considered high priority. What information should Copilot most likely reference?
Answer: C
Explanation:
Copilot explains recommendations using available Dynamics 365 Sales information, including customer interactions, opportunity history, engagement patterns, and CRM attributes. These contextual insights help users understand why AI generated a specific recommendation.
NEW QUESTION # 39
Drag and Drop Question
You configure the product catalog for a company. The company sells drones, spare batteries, and accessories.
The company has the following requirements:
- Must define shared properties for several drone models.
- Must combine drones and accessories into a package.
- Must represent a single drone model.
You need to determine how product catalog elements should be configured.
Which catalog component should you use 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:
The correct configuration is based on the product catalog hierarchy in Dynamics 365 Sales. A Product family is used when several related products need to share common characteristics or inherited properties. For example, a drone product family can define shared attributes such as flight time, camera type, battery compatibility, or warranty tier, and individual drone models can inherit or specialize those attributes. This is exactly what the requirement means by defining shared properties for several drone models.
A Bundle is used when multiple sellable products are combined into one package. If the company wants to sell a drone together with spare batteries, propellers, carrying cases, or accessories, that package should be configured as a bundle. The seller can then add the bundle to an opportunity, quote, order, or invoice instead of manually selecting each component.
A Product represents a single sellable item, such as one specific drone model. Price list is not correct for any of these requirements because price lists define pricing structures and currencies; they do not define catalog hierarchy, shared product properties, or bundled offerings.
NEW QUESTION # 40
A seller receives dozens of customer emails daily. The organization wants AI to summarize long conversations and highlight important commitments before meetings. Which Copilot capability provides the greatest benefit?
Answer: D
Explanation:
Copilot email summarization analyzes lengthy conversations and produces concise summaries highlighting customer requests, commitments, and recent interactions. This reduces preparation time before meetings and helps sellers quickly understand ongoing discussions without reading every individual message.
NEW QUESTION # 41
A company wants sellers to identify customers whose engagement has steadily declined over several weeks before opportunities are lost. Which capability is most appropriate?
Answer: D
Explanation:
Relationship Analytics tracks engagement trends across customer communications over time.
Declining interaction patterns can indicate increasing sales risk, allowing sellers to intervene proactively before opportunities become inactive or are lost.
NEW QUESTION # 42
A sales administrator wants AI predictions to improve over time as additional closed opportunities become available. Which statement accurately describes predictive models in Dynamics 365 Sales?
Answer: A
Explanation:
Predictive AI models continuously learn from an organization's historical opportunity outcomes and available CRM data. As more opportunities close successfully or unsuccessfully, the model can improve prediction quality by identifying additional patterns associated with sales success.
NEW QUESTION # 43
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