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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Optimize AI-driven sales | 20–25% | - Design AI-first sales strategy with Copilot and agents - Set up conversational intelligence and forecasting - Configure predictive scoring and relationship intelligence - Prepare and deploy AI agents in Sales |
| 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: Configure Dynamics 365 Sales core features for AI | 15–20% | - Evaluate prerequisites for deploying Sales - Configure timeline and data import/export - Examine Sales security model - Configure mailboxes and business process flows |
| Topic 4: Qualify and prioritize leads using AI | 15–20% | - Configure Sales Qualification Agent and monitor its performance - Fine-tune predictive scoring model - Configure lead and opportunity experience |
| Topic 5: Develop deals using intelligent opportunity research | 25–30% | - Optimize opportunity management and pipeline views - Configure and use Sales Research Agent insights - Configure Sales Close Agent and interpret actions |
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NEW QUESTION # 53
You need to configure the AdventureWorks Cycles product catalog.
How should you configure the product catalog? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation:
Requirement
Component
Mountaineer range
Product family
Athlete package
Product bundle
Metal range
Product property
The Mountaineer range should be configured as a Product family because it represents a product classification hierarchy. Dynamics 365 Sales uses product families to organize related products, child products, and bundles under a parent structure. Microsoft's product catalog guidance states that product families can contain child product families, products, and bundles in a hierarchy, which fits the mountaineer cycle range with economy and premium fitting variations.
The Athlete package should be configured as a Product bundle because it combines multiple sellable items:
a cycle, connected devices, and subscription-based analytics services. A bundle is used when multiple products are sold together as one commercial package. Dynamics 365 Sales allows products to be associated with a bundle, including quantities and required or optional components.
The Metal range should be configured as a Product property because sellers must choose a configurable attribute-chrome, aluminum, or titanium-when adding the mountaineer cycle to an opportunity. Product properties define product characteristics such as size, color, or component, and can be used at run time when adding products to opportunities, quotes, orders, or invoices.
References/topics: Product catalog setup; product families; product bundles; product properties; opportunity product configuration.
NEW QUESTION # 54
Drag and Drop Question
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.
NEW QUESTION # 55
You are preparing to deploy AI agents for a company's sellers.
The company wants to ensure that AI capacity is available before agents begin operating.
You need to configure Dynamics 365 so AI agents can consume AI credits.
Which action should you perform?
Answer: B
Explanation:
The correct action is to assign AI capacity to the Dynamics 365 environment. AI agents and AI- powered features run inside a Power Platform/Dynamics 365 environment, and the environment must have available AI capacity or credits before those features can execute reliably. Microsoft's AI capacity guidance states that once acquired, AI credits can be allocated or assigned to a specific environment, and when an environment has access to the credits, AI features are enabled in that environment. It also states that if consumption exceeds available credits, some features may be blocked.
NEW QUESTION # 56
You manage Dynamics 365 Sales.
The sales managers want to confirm that the Sales Close Agent generates insights that help progress deals.
When monitoring the Sales Close Agent, you observe that some engagements are failing.
You need to determine how the Sales Close Agent handles engagement failures.
How should you expect the agent to behave when an error occurs?
Answer: C
Explanation:
The correct behavior is that the Sales Close Agent retries up to three times within the next hour , using an exponential backoff strategy. If those immediate attempts fail, the system continues retrying the engagement over the next three days . If the engagement still fails after that retry window, the record is marked as a failure . Microsoft's Sales Close Agent documentation explicitly describes this retry pattern for engagement errors and also identifies the possible run statuses as Active, Failure, and Completed.
Option A is wrong because the agent does not retry only once after 24 hours, and failed records are not marked Completed. Option B is wrong because the agent has a defined automatic retry cycle before failure status is finalized. Option C is also wrong because the retry behavior is bounded; it does not retry indefinitely every few minutes. The failure handling is controlled, time-limited, and designed to avoid uncontrolled AI- credit consumption while still giving transient failures a chance to recover. This matters for sales managers because failed engagements must be monitored and remediated through the Sales Agent Runs view rather than assuming every selected record was successfully progressed.
References/topics: Sales Close Agent; engagement processing; retry behavior; Sales Agent Runs monitoring; opportunity/deal progression.
NEW QUESTION # 57
You are preparing to deploy AI agents for a company ' s sellers.
The company wants to ensure that AI capacity is available before agents begin operating.
You need to configure Dynamics 365 so AI agents can consume AI credits.
Which action should you perform?
Answer: B
Explanation:
The correct action is to assign AI capacity to the Dynamics 365 environment . AI agents and AI-powered features run inside a Power Platform/Dynamics 365 environment, and the environment must have available AI capacity or credits before those features can execute reliably. Microsoft's AI capacity guidance states that once acquired, AI credits can be allocated or assigned to a specific environment, and when an environment has access to the credits, AI features are enabled in that environment. It also states that if consumption exceeds available credits, some features may be blocked.
Option A is wrong because creating a new environment does not automatically provide AI capacity. The existing Dynamics 365 Sales environment can consume AI credits only when capacity is assigned or available to it. Option C is also wrong because Copilot Studio author permissions allow users to design or create agents; that is an authoring permission, not a capacity configuration. Option D is useful after deployment because administrators can monitor consumption in the Power Platform admin center, but monitoring does not make credits available. Microsoft also notes that AI Builder capacity is licensed as an add-on that must be allocated to a Power Platform environment by an administrator.
References/topics: AI capacity allocation; Copilot/AI credits; Power Platform environment capacity; Dynamics 365 Sales AI agents; agent deployment prerequisites.
NEW QUESTION # 58
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