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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Extend and enhance Sales | 10–15% | - Create Power Platform components (Power Automate, Power Apps, Power BI) - Deploy and configure Sales mobile app and Teams calling |
| Topic 2: Develop deals using intelligent opportunity research | 25–30% | - Configure and use Sales Research Agent insights - Configure Sales Close Agent and interpret actions - Optimize opportunity management and pipeline views |
| Topic 3: Configure Dynamics 365 Sales core features for AI | 15–20% | - Configure mailboxes and business process flows - Examine Sales security model - Evaluate prerequisites for deploying Sales - Configure timeline and data import/export |
| Topic 4: 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 5: Qualify and prioritize leads using AI | 15–20% | - Fine-tune predictive scoring model - Configure Sales Qualification Agent and monitor its performance - Configure lead and opportunity experience |
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NEW QUESTION # 55
You are the Dynamics 365 Sales administrator for an electronics company.
The sales team is having difficulty locating different products in the same category -- for instance, all versions of flat screen TVs available.
You need to organize the products in a way that makes it easier for the sales team to search for products.
What should you use?
Answer: D
Explanation:
The correct answer is Product families because the requirement is to organize similar products into searchable categories. In Dynamics 365 Sales, product families are used to classify and group related products under a product hierarchy. Microsoft's product catalog guidance explains that products can be created as standalone products or inside a family depending on how the organization wants to organize and classify them, and the training module specifically describes creating product family hierarchies that include product bundles and individual products.
For the example in the question, "flat screen TV" would be the product family, while individual versions such as 42-inch, 55-inch, OLED, QLED, or 4K models would be products inside that family. This makes browsing and searching easier for sellers because related variants are grouped logically. Product unit groups define how products are sold, such as each, box, or case; they do not categorize products. Related products are used for cross-sell, upsell, substitute, or accessory recommendations, not primary catalog organization. Product bundles combine multiple products sold together as a package. Therefore, the correct catalog structure is Product families.
NEW QUESTION # 56
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 # 57
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: D
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 # 58
You are responsible for improving lead prioritization in Dynamics 365 Sales.
Sales managers report that predictive scores do not match current conversion trends.
You need to edit the predictive lead scoring model to improve accuracy based on recent lead data.
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:
The correct sequence starts by opening and configuring the predictive scoring settings for lead scoring. The administrator must access the predictive lead scoring configuration page before changing the model.
Microsoft's predictive scoring configuration guidance states that the Predictive lead scoring page is where administrators configure model settings, including model criteria and field behavior.
Next, the administrator should edit model attributes . This is the actual model-tuning step. Microsoft states that Edit model is used to update or add fields that affect the prediction accuracy score, especially when the organization wants the model to consider different fields or a unique business process.
After modifying the attributes, the model must be retrained . Retraining is required when prediction accuracy does not meet expectations or when recent data should be incorporated. Microsoft explains that retraining uses the latest leads in the organization so the model can provide more accurate scores.
Finally, the administrator must verify predictive score accuracy by reviewing the model accuracy and performance. Exporting all lead records is unnecessary, and editing health score grading applies to opportunity health scoring, not predictive lead scoring.
References/topics: Predictive lead scoring; model attributes; model retraining; scoring accuracy; lead prioritization in Dynamics 365 Sales.
NEW QUESTION # 59
Your company is preparing sellers for complex enterprise opportunities.
The company wants sellers to gather relevant insights before initial account engagement.
You need to determine when using the Sales Research Agent is appropriate.
In which two scenarios are you able to use the Sales Research Agent? Each correct answer is a complete solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: A,B
Explanation:
The correct scenarios are B and C . Sales Research Agent is designed for research and analysis, not autonomous record updates or email engagement. Microsoft describes the agent as an AI-powered research canvas that lets users solve complex business questions through natural language, generate research blueprints, review sales-data insights, and ask follow-up questions to refine the analysis. It can use Dynamics
365 Sales data, uploaded offline files such as CSV, Excel, or PDF, and connected data sources to support pipeline exploration and sales operations analysis.
Option B is correct because Microsoft states that Sales Research Agent may use Bing Search only when the Bing search consent setting is enabled. When Bing search is disabled, the agent operates only on internal data sources that the user already has permission to access. Option C is also correct because the agent generates a research blueprint with visualizations and a text overview, and users can continue iterating by asking follow- up questions or changing visualizations on the canvas. Option A is wrong because Sales Research Agent is analytical; it does not update opportunities with risk or importance values. Option D is wrong because automatic email engagement is the domain of sales/qualification engagement agents, not Sales Research Agent.
References/topics: Sales Research Agent; research canvas; AI-generated blueprints; Bing search consent; internal sales data analysis; intelligent opportunity research.
NEW QUESTION # 60
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