AB-210テストトレーニング、AB-210ミシュレーション問題

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Microsoft AB-210 Exam Syllabus Topics:

SectionWeightObjectives
Extend and enhance Sales10–15%- Deploy and configure Sales mobile app and Teams calling
- Create Power Platform components (Power Automate, Power Apps, Power BI)
Optimize AI-driven sales20–25%- Configure predictive scoring and relationship intelligence
- Set up conversational intelligence and forecasting
- Design AI-first sales strategy with Copilot and agents
- Prepare and deploy AI agents in Sales
Develop deals using intelligent opportunity research25–30%- Configure Sales Close Agent and interpret actions
- Optimize opportunity management and pipeline views
- Configure and use Sales Research Agent insights
Qualify and prioritize leads using AI15–20%- Fine-tune predictive scoring model
- Configure lead and opportunity experience
- Configure Sales Qualification Agent and monitor its performance
Configure Dynamics 365 Sales core features for AI15–20%- Configure timeline and data import/export
- Configure mailboxes and business process flows
- Evaluate prerequisites for deploying Sales
- Examine Sales security model

>> AB-210テストトレーニング <<

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Microsoft Accelerating Sales Pipelines with AI in Dynamics 365 認定 AB-210 試験問題 (Q52-Q57):

質問 # 52
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.
Drag and Drop Question
You need to automate the quote approval process.
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.

正解:

解説:

Explanation:
The correct automation pattern is an automated Power Automate cloud flow triggered by a Dataverse event. The case study states that the process must notify the seller's manager when a draft quote is created and requires approval, and that approvals must use the Power Automate Approvals connector. Therefore, the flow should first be created as a cloud flow, then started by a Dataverse trigger such as when a row is added, modified, or deleted on the Quote table, filtered for the draft quote condition. Microsoft's Dataverse trigger guidance confirms that this trigger runs when a selected Dataverse table row is created, modified, or deleted.
After the trigger is defined, the flow must include an approval step using Power Automate approvals. Microsoft's approval workflow guidance states that Power Automate can manage approvals across services including Dynamics 365 and Dataverse-based processes. The final action is to test and activate the flow so the quote approval automation is available to users. Do not use a scheduled trigger because the requirement is event-driven, not time-based. Do not connect to the existing desktop flow because that desktop flow processes partner orders for fulfillment, not draft quote approvals. A Teams step is optional collaboration, not the required approval mechanism.


質問 # 53
A company notices that sales representatives often forget to contact prospects after meetings.
Managers want AI to automatically recommend follow-up activities based on customer engagement without requiring custom workflows. Which capability best satisfies this requirement?

正解:C

解説:
Sales Accelerator combines worklists with AI-generated recommendations to suggest the next best actions. Representatives receive prioritized activities such as follow-up calls or emails based on engagement signals, allowing them to maintain consistent communication without relying solely on manually designed automation.


質問 # 54
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.

正解:A、C

解説:
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.


質問 # 55
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.
You are deploying AI agents for a company using Microsoft Dynamics 365 Sales.
The company wants to ensure that AI usage is tracked and billed monthly.
The company requires that AI billing uses pre-paid credits.
You need to configure the billing based on the requirements.
Solution: Create an Azure subscription.
Does the solution meet the goal?

正解:B

解説:
The solution does not meet the goal. Creating an Azure subscription is associated with pay-as- you-go billing scenarios, not the required pre-paid credits model. Microsoft's Dynamics 365 Sales agent billing guidance states that Sales Copilot and agent capabilities support two billing models:
prepaid capacity and pay-as-you-go. Prepaid capacity uses Copilot Studio message pack subscriptions purchased in advance, while pay-as-you-go bills for actual message consumption during the month.
Because the requirement explicitly says AI billing must use pre-paid credits, the correct approach is to purchase Copilot Studio message packs or Copilot Credits and assign/manage that capacity for the relevant environment. Power Platform guidance explains that Copilot Studio credits/capacity are managed and monitored through the Power Platform admin center, and if prepaid capacity is exhausted, admins must reallocate capacity, purchase more credits, or enable pay-as-you-go. An Azure subscription may be required for pay-as-you-go cost management, but it does not satisfy a prepaid-credit requirement by itself. Therefore, the proposed solution is incorrect.


質問 # 56
A seller is reviewing an opportunity in Dynamics 365 Sales. The Sales Close Agent in Research mode generates a summary.
The seller must decide how to proceed with the opportunity. The seller plans to use the research insights to move the deal forward.
You need to identify the information that the agent provides.
Which agent-provided insights should you share with the seller?

正解:A

解説:
The correct insight to share is Recommended actions . Sales Close Agent in Research mode is opportunity- focused: it helps sellers understand the state of a deal, identify risks, and decide what to do next. Microsoft explains that the opportunity agent provides critical insights and recommendations so sellers can ramp up on opportunities, engage the right stakeholders, and mitigate risks effectively. The Responsible AI FAQ also describes the agent as identifying deal risks early and providing recommended mitigation strategies based on historical data and communication analysis.
The question specifically says the seller must decide how to proceed and wants to move the deal forward.
That points directly to recommended actions, not static context. Financial health may be part of a broader opportunity view, but it is not the best answer for next-step guidance. Budget, Authority, Need, and Timeline is BANT qualification and belongs to lead qualification scenarios, especially Sales Qualification Agent, not opportunity research. Blueprints are generated by the Sales Research Agent on a research canvas for analytics-style exploration, not by the Sales Close Agent opportunity summary. Therefore, the correct insight category is Recommended actions .
References/topics: Sales Close Agent Research mode; opportunity recommendations; deal risk mitigation; Sales Opportunity Agent insights; opportunity progression.


質問 # 57
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国際証明書を取得することが既に決まっている場合は、すぐにAB-210試験対策を購入する必要があります。当社の製品は、業界で最高品質の製品として認定されています。知り合いの紹介を通じてAB-210トレーニング資料を知っている場合は、AB-210の利点も知っておく必要があります。私たちのコンテンツとデザインは私たちに良い評判を築いてきました。私たちのユーザーは私たちのために喜んでボランティアします。これは素晴らしい製品だと想像できます!次に、AB-210実際の試験の最も代表的な利点を紹介します。これらの利点が必要なものであるかどうかを考えることができます!

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