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| Section | Weight | Objectives |
|---|---|---|
| Extend and enhance sales solutions with AI | 10-15% | - Implement collaboration features - Configure reporting and visualization - Deploy and manage AI agents - Monitor and optimize AI performance |
| Qualify and prioritize leads by using AI | 15-20% | - Fine-tune predictive lead scoring models - Implement Sales Qualification Agent - Configure lead qualification processes - Automate lead routing and prioritization |
| Optimize AI-driven sales workflows and insights | 20-25% | - Configure Sales accelerator and work distribution - Implement predictive scoring and relationship intelligence - Set up conversational intelligence - Configure Copilot for Sales |
| Develop deals by using intelligent opportunity research | 25-30% | - Use AI for opportunity research and insights - Deploy and configure Sales Close Agent - Optimize opportunity management workflows - Configure forecasting and goal management |
| Configure Dynamics 365 Sales core features for AI | 15-20% | - Set up core sales entities and relationships - Integrate Microsoft Power Platform components - Configure security and access for AI features - Design and configure sales data model |
>> AB-210 Simulation Questions <<
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NEW QUESTION # 15
You need to configure AI capabilities that prioritize leads and improve scoring accuracy in Dynamics 365 Sales.
How should each requirement be configured? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
Explanation:
Requirement
Configuration
Automatically prioritize leads based on conversion probability
Predictive lead scoring
Ensure the lead scoring improvement requirement is met
Automatically retrain model
The correct capability for automatically prioritizing leads based on conversion probability is Predictive lead scoring . Dynamics 365 Sales predictive lead scoring assigns scores to leads so sellers can prioritize the leads most likely to qualify or convert. Microsoft's Sales documentation states that predictive lead scoring helps sales teams prioritize leads based on scores and improve lead qualification outcomes. This directly matches Contoso's requirement to guide sellers toward high-potential leads and reduce inconsistent manual prioritization across regions.
To meet the requirement that lead scoring must continuously improve based on historical sales outcomes, configure the model to automatically retrain . Microsoft's predictive lead scoring guidance explains that retraining uses the latest leads in the organization to improve model accuracy, and automatic retraining allows the application to retrain the model every 15 days. This is the correct option because Contoso wants the scoring model to improve continuously as more closed lead outcome data becomes available.
"Lead scoring model" is too generic; the AI capability required is specifically predictive lead scoring.
"Relationship intelligence" supports relationship analytics and engagement insights, but it does not score leads by conversion probability. "Configure forecast" applies to pipeline forecasting, not lead scoring accuracy.
References/topics: Predictive lead scoring; lead prioritization; scoring model accuracy; automatic model retraining; AI-driven lead qualification.
NEW QUESTION # 16
A sales director wants representatives to focus on high-priority prospects every morning without manually reviewing hundreds of records. Which feature best supports this objective?
Answer: A
Explanation:
Sales Accelerator provides prioritized worklists that organize daily activities based on AI insights, sequence assignments, and customer engagement. Representatives receive a structured list of recommended actions, allowing them to spend more time selling and less time searching for work.
NEW QUESTION # 17
A seller follows AI recommendations but ignores one because the customer recently announced an unexpected budget freeze. Which principle best describes appropriate AI usage?
Answer: A
Explanation:
AI provides data-driven recommendations, but sellers should combine those insights with current business knowledge that may not yet exist within CRM. Human expertise remains essential for making final sales decisions, especially during rapidly changing customer situations.
NEW QUESTION # 18
You are implementing an agent in Dynamics 365 Sales for a company.
The customer runs weekly webinars that generate thousands of inbound leads.
The sales team needs to automate the first part of qualification but transfer promising leads to sellers.
The marketing team needs to analyze lead information and determine qualification possibility. However, all outreach to prospects must be managed by human sellers due to compliance requirements.
You have the following requirements for the agent:
. The agent must research inbound leads and if they match the target customer profile.
. The agent must evaluate Budget, Authority, Need, and Timeline during early engagement before transferring to sellers.
. The agent must send the initial outreach email automatically, manage responses, and detect positive intent.
. The leads that do NOT match the target customer profile should be disqualified automatically, and sales supervisors should be notified.
. The qualified and positive intent leads should be transferred to sellers.
You need to determine which configuration should be used.
Which agent and mode should you use?
Answer: A
Explanation:
The correct configuration is Sales Qualification Agent in Research and engage mode . The question contains one conflicting sentence about human-managed outreach, but the explicit agent requirements require autonomous outreach, response handling, BANT evaluation, positive-intent detection, disqualification of poor- fit leads, supervisor notification, and seller handoff. Those capabilities map only to Research and engage mode.
Microsoft's Sales Qualification Agent documentation states that both modes can research leads and check target customer profile fit, but only Research and engage mode checks BANT criteria, sends outreach emails, detects positive intent, sends follow-up emails, and engages with leads based on their responses.
Microsoft's handoff criteria documentation also states that BANT criteria are only used by Research and engage mode, and that leads satisfying BANT and purchase-interest criteria are handed over to sellers, while leads that do not satisfy the configured criteria are disqualified and added for supervisor review.
Option B or D would be correct only if the controlling requirement were strictly "human sellers must manage all outreach." But the listed automation requirements go beyond Research-only mode, so the exam answer is C
.
References/topics: Sales Qualification Agent; Research and engage mode; target customer profile; BANT; purchase intent; lead handoff; supervisor review.
NEW QUESTION # 19
Hotspot Question
You are a Dynamics 365 administrator. The sales team uses goals to track actual to target opportunity amounts.
A salesperson reviews their goals chart and observes the following:
An opportunity updated today is not included in the chart.
The time period for the goal is not accurate.
You need to resolve these issues.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
For the opportunity updated today not appearing in the goals chart, the issue is the goal rollup timing, not the opportunity record itself. Dynamics 365 Sales goal actuals are calculated through rollup processing. Microsoft states that automatic goal rollup duration and frequency are controlled from the Goals tab in system settings, and that manual rollup can also be performed when needed. Therefore, the correct action is to update the roll-up settings so goal charts reflect recent opportunity changes more appropriately. Microsoft also notes that selecting Recalculate updates goal actuals based on the latest data, confirming that goal charts depend on rollup recalculation rather than instant real-time updates.
For the inaccurate goal time period, the correct action is to have the manager update the goal. In Dynamics 365 Sales goal management, the goal manager is responsible for setting or modifying goal targets, adjusting the goal time period, and assigning the goal owner. The salesperson is typically the goal owner who is measured against the target, but the manager controls the goal definition and period.
NEW QUESTION # 20
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