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| Section | Weight | Objectives |
|---|---|---|
| Optimize AI-driven sales | 20–25% | - Copilot and AI assistant capabilities in Sales - Sales productivity and automation enhancement |
| Extend and enhance Sales | 10–15% | - Extending Dynamics 365 Sales with AI capabilities - Integration with Microsoft Copilot and Power Platform |
| Develop deals using intelligent opportunity research | 25–30% | - Opportunity insights and forecasting - AI-assisted deal progression strategies |
| 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% | - Data and process setup for AI features - Sales environment configuration |
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NEW QUESTION # 76
A company enables Copilot for sellers. Management wants representatives to generate personalized customer emails while preserving seller control before messages are sent. Which behavior should be expected?
Answer: C
Explanation:
Copilot generates personalized draft emails using CRM information and customer context, but sellers review, edit, and approve the content before sending. This approach balances AI productivity with human oversight and organizational communication standards.
NEW QUESTION # 77
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 a billing policy for the Dynamics 365 Sales environment.
Does the solution meet the goal?
Answer: B
Explanation:
The solution does not meet the goal because a billing policy for the Dynamics 365 Sales environment is associated with the pay-as-you-go consumption model, not the prepaid-credit model required in the question.
Microsoft separates Dynamics 365 Sales Copilot and agent billing into two models: prepaid capacity and pay-as-you-go . Prepaid capacity uses Copilot Studio message pack subscriptions that are purchased in advance, while pay-as-you-go charges for the actual number of messages consumed by agents during the month.
For prepaid AI credits, the correct configuration is to purchase the Copilot message pack subscription and then assign that prepaid capacity to the required Power Platform/Dynamics 365 Sales environment. Microsoft' s setup steps for prepaid capacity specifically state that admins must purchase Copilot message packs through the Microsoft 365 admin center or Partner Center and assign prepaid capacity to the Power Platform environment through the Power Platform admin center.
So the proposed solution is wrong for the stated requirement. It may support monthly tracked consumption under pay-as-you-go, but it does not satisfy the explicit requirement to use pre-paid credits .
References/topics: Dynamics 365 Sales consumption-based billing; prepaid capacity; Copilot Studio message packs; Power Platform environment capacity assignment; pay-as-you-go billing policy.
NEW QUESTION # 78
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.
A company is evaluating AI agent capabilities for opportunity management.
Sales managers require insights about deals. You must ensure that the system does not perform automatic outreach to buyers.
You need to determine whether proposed solutions meet the requirements.
Solution: Configure the Sales Close Agent in Engage mode.
Does the solution meet the goal?
Answer: B
Explanation:
No, the solution does not meet the goal. The requirement clearly states that sales managers need insights about deals, but the system must not perform automatic outreach to buyers. Sales Close Agent Engage mode is designed for autonomous customer engagement. It can interact with buyers, send outreach or follow-up communications, and help progress sales conversations automatically. That violates the restriction in the question.
For this scenario, the appropriate configuration is Sales Close Agent in Research mode, not Engage mode. Research mode supports opportunity management by analyzing deal context, surfacing risks, identifying signals, and providing recommended next actions to sellers. It gives managers and sellers AI-generated deal insights while keeping buyer communication under human control. That is exactly what the company requires.
Engage mode would only be acceptable if the company wanted the agent to actively contact buyers or automate customer-facing communication. Since the requirement explicitly prohibits automatic outreach, Engage mode fails the stated goal.
NEW QUESTION # 79
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: A
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 # 80
A company uses Dynamics 365 Sales with the Sales Research Agent enabled. Sellers review the research canvas before planning outreach to customers.
You generate a Sales Research Agent blueprint on the research canvas.
You need to update a single component in the blueprint.
What should you do?
Answer: C
Explanation:
The correct action is Update a single block in the canvas . In Sales Research Agent, the research canvas generates a blueprint that contains research findings, visualizations, and blocks of insight. Microsoft states that users can interact with visualizations through the AI cursor, ask follow-up questions, and then choose whether to update the existing block or generate a new blueprint. If Update block is selected, the existing block is updated with the new information; if Generate new blueprint is selected, the agent creates a new blueprint and adds a journey line.
This distinction matters. The requirement is to update one component , not rebuild the full blueprint.
Regenerate the blueprint or Refresh the blueprint would affect the broader blueprint output: Microsoft documents refresh/regenerate as actions for using latest data or producing new visualizations and insights, not for targeted single-block editing. The Dynamics 365 AI Optimization hub is unrelated to editing individual research canvas blocks.
References/topics: Sales Research Agent; research canvas; blueprint blocks; AI cursor; update block; intelligent opportunity research.
NEW QUESTION # 81
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