信頼的なAB-210学習体験談一回合格-高品質なAB-210模擬資料

クライアントが厄介な問題に遭遇した場合、専門家にAB-210試験問題に関する長距離支援を提供するよう依頼します。カスタマーサービススタッフは1日と1年中働いているため、安心してカスタマーサービススタッフがオフラインになることを心配しないでください。また、クライアントは、思いやりのある快適なサービスをお楽しみいただけます。その後、専門家チームがそれらを入念に処理し、テストバンクにまとめます。 Googleのシステムは、定期的にAB-210試験実践ガイドの最新アップデートをお客様に送信します。

Microsoft AB-210 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Configure Dynamics 365 Sales core features for AI15-20%- Set up core sales entities and relationships
- Configure security and access for AI features
- Design and configure sales data model
- Integrate Microsoft Power Platform components
Topic 2: Optimize AI-driven sales workflows and insights20-25%- Set up conversational intelligence
- Implement predictive scoring and relationship intelligence
- Configure Copilot for Sales
- Configure Sales accelerator and work distribution
Topic 3: Extend and enhance sales solutions with AI10-15%- Deploy and manage AI agents
- Monitor and optimize AI performance
- Configure reporting and visualization
- Implement collaboration features
Topic 4: Qualify and prioritize leads by using AI15-20%- Implement Sales Qualification Agent
- Configure lead qualification processes
- Fine-tune predictive lead scoring models
- Automate lead routing and prioritization
Topic 5: Develop deals by using intelligent opportunity research25-30%- Deploy and configure Sales Close Agent
- Configure forecasting and goal management
- Optimize opportunity management workflows
- Use AI for opportunity research and insights

>> AB-210学習体験談 <<

試験の準備方法-便利なAB-210学習体験談試験-更新するAB-210模擬資料

AB-210試験に合格するには、関連する教材を探す必要があります。しかし、Microsoftのウエブサイトを見ると、すぐいいAB-210教材を手に入れることができます。私たちはあなたのAB-210試験に関する悩みを解決できます。長い時間で、私たちはAB-210教材の研究に取り組んでいます。だから、私たちは信頼されるに値します。

Microsoft Accelerating Sales Pipelines with AI in Dynamics 365 認定 AB-210 試験問題 (Q16-Q21):

質問 # 16
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:A

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.
References/topics: Dynamics 365 Sales agent billing; prepaid capacity; Copilot Studio message packs; Copilot Credits; pay-as-you-go billing.


質問 # 17
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.
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、C

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.


質問 # 18
A sales team contacts customers to promote and sell products.
You need the sales team to place outbound calls directly from Dynamics 365 Sales records using Microsoft Teams.
You need to enable calling directly from records.
What should you configure?

正解:D

解説:
The correct configuration is to enable the Microsoft Teams dialer . Microsoft's Dynamics 365 Sales documentation states that Microsoft Teams dialer brings Teams calling directly into Dynamics 365 Sales so sellers can make and receive calls without leaving the application. The documented setup path is to go to Sales Hub app settings, open Teams calls , and turn on Teams calls for the selected security roles and apps.
This matches the requirement precisely: the sales team must place outbound calls directly from Dynamics 365 Sales records using Microsoft Teams. Phone numbers and PSTN connectivity are prerequisites for Teams calling, but option A is not the Dynamics 365 Sales feature that enables record-level calling. The mobile app is irrelevant because the question asks for calling from Dynamics 365 Sales records, not mobile access. Teams meeting integration supports meetings and collaboration, but it does not enable click-to-call or Teams dialer calling from Sales records. Therefore, the required feature is Microsoft Teams dialer .
References/topics: Microsoft Teams dialer; Teams calls in Dynamics 365 Sales; outbound calling from Sales records; Sales Hub Teams calls configuration.


質問 # 19
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:C

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.


質問 # 20
A company is using AI agents in Dynamics 365 Sales.
The company requires that the agent must do the following:
Research incoming leads and generate initial outreach email.
. Autonomously contact leads, follow up, and evaluate qualification during the process.
You need to identify which AI agent in Sales supports these requirements.
Which agent type should you use?

正解:A

解説:
The correct agent type is Sales Qualification Agent: Research and engage . The requirement is specifically about inbound lead processing: researching incoming leads, generating outreach, autonomously contacting leads, following up, and evaluating qualification during the engagement process. Microsoft defines Sales Qualification Agent as the AI agent used to automate lead qualification in Dynamics 365 Sales, especially for high-volume inbound leads from sources such as websites, events, and webinars. In Research and engage mode, the agent researches the lead, evaluates fit using target customer profile and BANT criteria, sends personalized outreach emails, engages based on responses, sends follow-up emails, detects positive intent, and then hands promising leads to sellers.
Research-only mode is not enough because it generates a draft outreach email for seller review but does not send outreach emails or detect positive intent from responses. Microsoft's mode comparison explicitly shows that BANT checking, sending outreach, detecting positive intent, and follow-up emails are available in Research and engage mode, not Research-only mode. Sales Close Agent options are wrong because they apply to opportunity/deal execution, not initial lead qualification.
References/topics: Sales Qualification Agent; Research and engage mode; lead research; outreach automation; BANT qualification; AI-driven lead prioritization.


質問 # 21
......

MicrosoftのAB-210認定試験は現在のIT領域で本当に人気がある試験です。この試験の認証資格を取るのは昇進したい人々の一番良く、最も効果的な選択です。しかも、この試験を通して、あなたも自分の技能を高めて、仕事に役に立つスキルを多くマスターすることができます。そうすれば、あなたはもっと素敵に自分の仕事をやることができ、あなたの優れた能力を他の人に見せることができます。この方法だけであなたはより多くの機会を得ることができます。

AB-210模擬資料: https://www.topexam.jp/AB-210_shiken.html