ExamPassdump의 Microsoft인증 AB-210덤프를 구매하여 공부한지 일주일만에 바로 시험을 보았는데 고득점으로 시험을 패스했습니다.이는ExamPassdump의 Microsoft인증 AB-210덤프를 구매한 분이 전해온 희소식입니다. 다른 자료 필요없이 단지 저희Microsoft인증 AB-210덤프로 이렇게 어려운 시험을 일주일만에 패스하고 자격증을 취득할수 있습니다.덤프가격도 다른 사이트보다 만만하여 부담없이 덤프마련이 가능합니다.구매전 무료샘플을 다운받아 보시면 믿음을 느낄것입니다.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Optimize AI-driven sales | 20–25% | - Sales productivity and automation enhancement - Copilot and AI assistant capabilities in Sales |
| Topic 2: Develop deals using intelligent opportunity research | 25–30% | - AI-assisted deal progression strategies - Opportunity insights and forecasting |
| Topic 3: Configure Dynamics 365 Sales core features for AI | 15–20% | - Sales environment configuration - Data and process setup for AI features |
| Topic 4: Extend and enhance Sales | 10–15% | - Extending Dynamics 365 Sales with AI capabilities - Integration with Microsoft Copilot and Power Platform |
| Topic 5: Qualify and prioritize leads using AI | 15–20% | - Lead scoring and qualification models - AI-driven lead prioritization workflows |
ExamPassdump는 자격증 응시자에게Microsoft AB-210 시험 준비를 위한 현재 그리고 가장 최근의 자료들을 제공하는 이 산업 영역의 리더입니다. ExamPassdump는Microsoft AB-210덤프를 시험문제변경에 따라 계속 갱신하여 고객님께서 받은 것이Microsoft AB-210 시험의 가장 최신 기출문제임을 보증해드립니다.
질문 # 69
You configure Dynamics 365 Sales for a company.
The company plans to implement the Sales Close Agent in Research mode.
You need to identify the capabilities of the agent.
Which two capabilities should you identify? Each correct answer presents a complete solution. Choose two.
NOTE: Each correct selection is worth one point.
정답：B,D
설명：
The correct Research mode capabilities are analyzing historical interaction data to generate opportunity insights and reviewing deal signals with risks and recommended mitigations . Microsoft's Sales Opportunity Agent documentation describes the opportunity-focused agent as helping sellers focus on important opportunities by identifying high-value and at-risk deals, providing critical insights and recommendations, and helping sellers mitigate risks. Microsoft also states that the agent gathers information from multiple sources and provides a streamlined research experience, stakeholder and competitor intelligence, and actionable risk mitigation strategies.
Option C is correct because the agent uses opportunity context, CRM history, emails, meetings, and other available signals to generate deal insights. Option D is also correct because Microsoft's Responsible AI FAQ specifically identifies early risk detection and recommended mitigation strategies based on historical data and communication analysis. Options A and B describe customer engagement behavior: running sales sequences or initiating follow-up communication. That belongs to engagement automation, not Research mode. Option E is too workflow-task oriented; Research mode surfaces insights and recommendations, but it is not primarily a task-generation or outreach automation engine.
References/topics: Sales Close Agent Research mode; Sales Opportunity Agent; opportunity insights; deal signals; risk mitigation; intelligent opportunity research.
질문 # 70
A sales company uses the Sales Qualification Agent to evaluate inbound leads.
A sales manager updates the qualification criteria to better align with the target customer profile.
After the update, monitoring data shows the following:
. A shift in how leads are categorized compared to earlier results.
. Continued processing of incoming leads.
. No gaps in evaluation activity.
You need to interpret the monitoring data to understand the agent ' s behavior.
What should you conclude?
정답：D
설명：
The correct conclusion is that lead outcomes reflect updated evaluation criteria applied during processing
. The Sales Qualification Agent evaluates inbound leads against the configured target customer profile and qualification settings. Microsoft states that the target customer profile suitability is determined by the attributes defined in the agent configuration's handoff criteria, and the agent categorizes leads as high, moderate, or low fit based on how well the lead matches those attributes.
Therefore, when the sales manager updates the qualification criteria, a shift in categorization is expected. It means the agent is applying the new criteria to processed leads, not that the old evaluations were incomplete or that external factors are necessarily driving the change. The continued processing and absence of evaluation gaps also indicate normal operational continuity. Microsoft's Sales Qualification Agent setup guidance explains that the agent works on assigned leads based on configured selection criteria and that stopping the agent prevents new lead processing; here, processing continued, so the agent remained active while using the revised configuration. Option A is too speculative: tuning might be useful later, but the evidence given does not prove a tuning problem. The clean interpretation is D .
References/topics: Sales Qualification Agent; target customer profile; qualification criteria; lead categorization; AI-driven lead qualification monitoring.
질문 # 71
Case Study 2 - Contoso Ltd
Background
Contoso Ltd. is a global technology distributor headquartered in Redmond, Washington. The company sells networking equipment, cloud infrastructure, and managed services to enterprise customers across North America and Europe.
Contoso Ltd. currently manages its sales operations by using Microsoft Dynamics 365 Sales and plans to enable Sales Insights in the future.
The leadership team wants to modernize the sales organization by introducing capabilities that help sellers prioritize leads, analyze opportunities, and accelerate deal closure.
The company has approximately 150 field sellers, 40 insider sellers, 20 sales managers, and a central IT team responsible for configuring the sales platform. Contoso Ltd.'s executive leadership has defined the following goals for the new sales platform implementation:
Improve seller productivity by reducing manual research and data entry.
Use Al insights to prioritize leads and opportunities.
Provide automated recommendations to sales representatives throughout the deal lifecycle.
Improve collaboration between sellers and sales managers.
Current Environment:
Sales platform
Contoso Ltd. uses Microsoft Dynamics 365 Sales integrated with Microsoft 365 services.
The following components are currently deployed:
Data and lead management
Leads are important for driving new business at Contoso Ltd. They are generated from multiple sources including:
- Marketing automation campaigns
- Website registrations
- Partner referrals
- Trade show contact imports
Marketing teams import lead lists weekly into Dynamics 365 Sales by using spreadsheet imports.
Sellers currently evaluate leads manually.
Sales managers report that this process results in inconsistent prioritization across regions.
Opportunity management
Opportunities are tracked in Dynamics 365 Sales through a defined qualification-to-opportunity lifecycle to ensure accurate reporting.
Sales leadership has requested the Contoso Ltd. IT team to evaluate the following capabilities:
- AI-generated summaries of opportunity records.
- AI-driven research for customer organizations.
- Automated recommendations for closing deals.
Business Requirement:
Contoso Ltd.'s executives have defined the following business requirements:
Lead management
Inside sellers must use a seller engagement workspace that prioritizes leads automatically based on predicted likelihood to convert.
All sellers are guided through a consistent set of qualification steps aligned to Contoso Ltd.'s sales strategy.
Leads cannot be advanced to the development stage until a decision maker has been confirmed.
Sales leadership requires flexibility in how leads are converted. Inside sales need automatic opportunity creation. Field sellers need the option to manually decide whether an opportunity should be created when a lead is qualified.
Lead scoring must be implemented to help sellers identify high potential leads automatically.
Lead scoring must continuously improve based on historical sales outcomes.
Opportunity development
The opportunity flow must be improved by using Al-driven research and automated insights.
Field sellers must be able to access contextual research about customers and competitors while working on opportunities.
Opportunity records must display Al-generated summaries to reduce the time required to review historical activities.
Field sellers must use the Opportunity pipeline view to visualize, prioritize, and manage opportunities.
All opportunity revenue must be calculated using opportunity line items based on selected Contoso Ltd.'s products and standard pricing.
Sales managers must receive an external quarterly competitive intelligence brief to help with their research. This should be delivered as a PDF document.
Sales performance
Sales managers require improved pipeline and revenue forecasting capabilities. The managers need to report on their business performance and use insights, visuals, and recommended next actions.
The new solution must provide the following:
- Allow sales managers to configure forecasts for opportunity pipelines.
- Notify the seller's manager when a draft quote is created and requires approval.
- Allow leadership to track performance against revenue goals.
- Ask questions about Dynamics 365 Sales data to support executive analysis and decision making.
- Support data definitions used at Contoso Ltd. when reporting.
Technical Requirement:
Contoso Ltd.'s IT department defines the following priorities for the sales platform.
AI capabilities
The platform must support the following Al features:
- Lead scoring to guide sellers to priority items.
- Opportunity research insights to prepare deal analysis.
- Copilot-generated summaries of sales records to help with decision making.
- AI-powered research and analytics to aid leadership reporting.
- When performing sales research, sales managers must be able to save their favorite prompts.
Automation
Automation must be implemented to guide sellers through recommended next steps during the sales cycle.
Any approvals must use the Power Automate Approvals connector.
Field sellers use the existing Lead to Opportunity Business Process Flow to manage their leads.
A Power Automate desktop flow is used to process orders into a partner ordering application that completes fulfillment.
Collaboration
All sellers must be able to collaborate by using Teams and store related sales documents in SharePoint.
AI-driven insights
The company is deploying the Sales accelerator to guide seller activities.
The Sales Research Agent
Sales managers will use the Sales Research Agent to gather intelligence about customer organizations.
The sales managers have the following requirements:
- Must be able to reuse visualizations after they are created; they don't want to recreate them.
- Must have a consistent method to quickly return to a blueprint that they frequently use.
- Must be able to retain a library of questions to receive consistent responses based on definitions approved by the company.
- Should have Bing search enabled on the environment for generative Al feature settings.
Platform extensions
The IT department plan to extend the platform by doing the following:
- Create Power Automate flows to automate seller tasks.
- Embed Power Apps components inside model-driven forms.
- Embed Power BI reports for sales analytics.
Testing
The IT department is testing predictive lead scoring with a small group of sellers.
The IT department edits the existing lead scoring model by adding new fields.
Issues:
Users have reported the following issues:
- Field sellers spend a significant amount of time researching customers before engaging with prospects.
- Sales managers cannot easily identify the most promising opportunities across regions.
- Lead prioritization varies significantly between sales teams.
- Testers report they cannot access the field changes in the lead score.
- A sales manager generated a blueprint but forgot the competitive intelligence brief.
Hotspot Question
You need to standardize the lead qualification process for field sellers.
What should you configure? To answer, select the appropriate options in the answer area.
정답：
설명：
Explanation:
The lead qualification process should be controlled through the Lead to Opportunity Business Process Flow, because the case study states that field sellers use this existing process to manage leads. To prevent a lead from advancing to the Development stage until a decision maker is confirmed, configure the Decision Maker step as required in the business process flow.
Microsoft's business process flow guidance states that each stage contains steps mapped to columns, and a step can be made required so users must enter data before moving to the next stage. This stage-gating behavior directly satisfies the requirement that leads cannot progress until the decision maker is confirmed.
To ensure the correct process is applied for field sellers, authorize the business process flow for the field seller security role. Microsoft explains that business process flows can be associated with security roles so only users with those roles can view or use them, and that the first active process available for a user's security role is applied by default according to process order.
Do not choose Power Automate to advance the lead; the requirement is to block advancement until a required qualification criterion is completed, not to automate progression. "Switch to a different process" is user action, not a configuration standard.
질문 # 72
You need to configure AI-powered research capabilities for the sales team.
What should you configure? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all.
정답：
설명：
Explanation:
Requirement
Configuration
Blueprints
Name the blueprint workspace and pin the workspace.
Questions
Create a business function with seeded prompts.
For Blueprints, the correct configuration is to name the blueprint workspace and pin the workspace. The requirement is not asking to regenerate analysis; it asks for a reliable way to return to frequently used research output. In Sales Research Agent, a generated blueprint exists inside a workspace, and Microsoft states that the workspace displays the workspace name, can be renamed, and can be switched from the workspace menu.
That makes naming and pinning the workspace the correct operational pattern for reusable research access.
For Questions, the correct configuration is to create a business function with seeded prompts. Sales Research Agent business functions are designed to tailor research to a specific use case, and administrators can add starter prompts. Microsoft explains that starter prompts appear on the Sales Research Agent home page for quick access and that the full prompt is sent to the agent when selected. This directly satisfies the requirement to retain a reusable library of approved questions.
Do not select regenerate the blueprint because regeneration refreshes or recreates analysis, but it does not create a persistent shortcut to frequently used research. Do not select custom table or manual prompt questions in Sales Copilot because the native Sales Research Agent feature already supports reusable business- function prompts.
References/topics: Sales Research Agent; research blueprints; workspace management; business functions; seeded/starter prompts; intelligent opportunity research.
질문 # 73
Drag and Drop Question
A company uses the Sales Close Agent to assist sellers during the closing phase of opportunities.
The Sales Close Agent must meet the following requirements:
- Recommend targeted action for disengaged deals.
- Generate insights from CRM records, emails, meetings, and web
research into a unified deal view.
- Ensure customer interactions are compliant with company policies.
You need to identify the agent mode for each requirement.
Which agent mode should you recommend? To answer, move the appropriate requirements to the correct agent modes. You may use each agent mode 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.
정답：
설명：
Explanation:
The first two requirements belong to Research mode because they are insight-generation functions for opportunity management. Microsoft describes the opportunity-focused Sales agent as identifying risks such as disengaged stakeholders, slowing momentum, and competitive pressure, then recommending targeted actions to keep the deal moving forward. It also provides a comprehensive deal view by surfacing buyer needs, stakeholder roles, competitor mentions, and deal health in one unified place. This directly matches both "recommend targeted action for disengaged deals" and "generate insights from CRM records, emails, meetings, and web research into a unified deal view." The compliance requirement maps to Engage mode because compliance matters when the agent communicates externally with customers. Sales Close Agent Engage mode automates customer engagement through outreach and follow-up emails, and Microsoft states that admins configure an email delivery compliance profile so the agent's communications follow organizational policies and regulatory requirements. Research mode produces insights for sellers; it does not perform customer outreach. Therefore, use Research for opportunity intelligence and Engage for compliant customer interaction.
질문 # 74
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많은 사이트에서Microsoft 인증AB-210 인증시험대비자료를 제공하고 있습니다. 그중에서 ExamPassdump를 선택한 분들은Microsoft 인증AB-210시험통과의 지름길에 오른것과 같습니다. ExamPassdump는 시험에서 불합격성적표를 받으시면 덤프비용을 환불하는 서비스를 제공해드려 아무런 걱정없이 시험에 도전하도록 힘이 되어드립니다. ExamPassdump덤프를 사용하여 시험에서 통과하신 분이 전해주신 희소식이 ExamPassdump 덤프품질을 증명해드립니다.
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