AB-210学習ガイドの高品質と高効率は、同じ業界の製品で際立っています。私たちの教材は常にユーザーのために考慮されています。 AB-210試験問題を選択すると、より良い自己になります。 AB-210実際の試験では、輝かしい未来に貢献したいと考えています。私たちの教材は常に改善されています。良いアイデアがあれば、私たちの教材は喜んで受け入れます。 AB-210試験資料は、このファミリーに参加するパートナーを増やすことを楽しみにしています。私たちは一緒に進歩し、より良くなります。
| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Extend and enhance sales solutions with AI | 10-15% | - Monitor and optimize AI performance - Deploy and manage AI agents - Configure reporting and visualization - Implement collaboration features |
| Develop deals by using intelligent opportunity research | 25-30% | - Optimize opportunity management workflows - Use AI for opportunity research and insights - Deploy and configure Sales Close Agent - Configure forecasting and goal management |
| Qualify and prioritize leads by using AI | 15-20% | - Implement Sales Qualification Agent - Fine-tune predictive lead scoring models - Configure lead qualification processes - Automate lead routing and prioritization |
| 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 |
現在、多くの事務員は自分自身の能力をアップすることに専念しています。 彼らは暇を利用して私たちのAB-210学習教材を勉強しています。AB-210学習教材は定期的に更新されます。また、私たちはいいサービスを提供します。私たちのAB-210学習教材はすごく人気があります。そして、利用した人は全部AB-210試験に合格しました。
質問 # 71
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?
正解：D
解説：
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.
質問 # 72
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 Research mode.
Does the solution meet the goal?
正解：A
解説：
Yes, the solution meets the goal. The requirement is very specific: sales managers need deal insights , but the organization must avoid automatic outreach to buyers . Sales Close Agent in Research mode is the correct configuration because it focuses on researching opportunities, analyzing deal context, identifying risks and signals, and providing recommendations to sellers without autonomously engaging customers.
Research mode is intended to help sellers understand an opportunity more quickly by surfacing insights such as deal health, signals, risks, and suggested next actions. It supports opportunity management by giving the team intelligence that can help progress deals, while leaving communication decisions in the hands of the seller. That directly aligns with the stated requirement for insights about deals.
The critical distinction is that Engage mode is the mode that performs automated outreach and customer interaction. Since the company explicitly does not want automatic outreach to buyers, Engage mode would violate the requirement. By configuring the Sales Close Agent in Research mode , the company gets AI- assisted opportunity analysis without autonomous communications.
References/topics: Sales Close Agent; Research mode; opportunity insights; deal analysis; recommended next actions; distinction between Research mode and Engage mode.
質問 # 73
You need to resolve the competitive intelligence brief issue for the sales manager.
What three actions should you do? Each correct answer presents part of the solution. Choose three.
正解：A、B、E
解説：
The issue is that the sales manager already generated a Sales Research Agent blueprint but forgot to include the quarterly competitive intelligence brief. The brief is an external document and the case study states it is delivered as a PDF document , so the correct first content action is to upload the competitive intelligence brief as a PDF file , not CSV. Microsoft's Sales Research Agent documentation states that users can select Add data to upload files including CSV, Excel, or PDF to augment research with additional data.
The second required action is to add a data source , because the competitive intelligence brief is not part of the default Dynamics 365 Sales data. Sales Research Agent connects to Dynamics 365 Sales data by default, but additional external files must be added as supporting data sources before they can influence the analysis.
The documentation identifies the Data area as the place where the research data source is specified and where additional data sources can be added.
The final action is to regenerate the canvas/blueprint so the agent reprocesses the analysis using the newly added PDF. Refreshing alone is not the best answer because the problem is not stale data; it is missing context. Regeneration creates updated research output with the new source included.
References/topics: Sales Research Agent; research canvas; adding PDF data sources; blueprint regeneration; intelligent opportunity research.
質問 # 74
A seller notices that an opportunity score increased significantly after several customer meetings and email exchanges. Which AI capability most likely influenced the updated prediction?
正解：D
解説：
Opportunity scoring evaluates multiple relationship signals such as meeting frequency, email engagement, customer responsiveness, and historical behaviors. Increased positive interactions often improve opportunity health and raise the predicted likelihood of successfully closing the deal.
質問 # 75
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?
正解：B
解説：
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.
質問 # 76
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