Microsoft AB-210: Accelerating Sales Pipelines with AI in Dynamics 365 braindumps PDF & Testking echter Test

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Microsoft AB-210 Exam Syllabus Topics:

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

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Microsoft Accelerating Sales Pipelines with AI in Dynamics 365 AB-210 Prüfungsfragen mit Lösungen (Q68-Q73):

68. Frage
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?

Antwort: A

Begründung:
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.


69. Frage
A company plans to deploy AI agents in Dynamics 365 Sales to help sellers research accounts and summarize opportunity activity.
The company has the following requirements:
. AI capabilities must be activated in the environment.
. Administrators must be able to design, create, and manage AI agents.
. Sellers must have permissions that allow them to interact with AI-generated insights in Sales.
. AI agents must be able to read and analyze the organization's sales data stored in the platform.
You need to configure platform capabilities required for AI agents.
Which configuration should you apply for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation:
Requirement
Configuration
Enable AI features in the environment
Deploy Copilot in Dynamics 365 Sales
Allow administrators to create agents
Assign Copilot Studio author role
Allow sellers to use AI insights
Assign Dynamics 365 Sales security roles
Allow agents to analyze sales records
Configure Dataverse security permissions
The environment-level AI prerequisite is to deploy Copilot in Dynamics 365 Sales . Microsoft states that Copilot features must be turned on for Dynamics 365 Sales and that enabling Copilot activates the embedded chat and Copilot experiences in sales apps. Microsoft also identifies AI Agents and AI insight cards as environment capabilities required for Sales agents.
Administrators who design or create agents need Copilot Studio author capability. Microsoft's Copilot Studio licensing guidance specifically lists the Copilot Studio authors role as a supported access configuration and explains that this role is assigned through the Power Platform admin center.
Sellers must receive appropriate Dynamics 365 Sales security roles because Sales agent access is role- driven. Microsoft states that users must be assigned Sales Manager or Salesperson roles to use Sales agent capabilities in Dynamics 365 Sales.
Finally, agents can only analyze sales records when Dataverse access is correctly configured. Dataverse security roles define table privileges such as Read, Create, Write, Delete, Append, and Append To, so sales data access must be governed through Dataverse security permissions .
References/topics: Copilot in Dynamics 365 Sales; Sales agents prerequisites; Copilot Studio author role; Dynamics 365 Sales security roles; Dataverse security permissions.


70. Frage
Drag and Drop Question
A company is using Dynamics 365 Sales.
The company wants sellers to use a repeatable sequence for opportunities. The company has the following requirements for the opportunity stages:
- Must define the flow of work sellers must complete before closing an
opportunity.
- Must guide sellers through data entry at each stage.
- Must report on the business process flow execution.
- Must ensure background process occurs after stage changes.
You need to configure a solution for each requirement.
Which configuration should you use for each requirement? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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.

Antwort:

Begründung:

Explanation:
The correct solution is based on the Opportunity Sales Process business process flow. Business process flow stages define the sequence of work sellers must follow, such as qualifying, developing, proposing, and closing an opportunity. These stages give sellers a repeatable, controlled path through the opportunity lifecycle and align execution with the organization's sales methodology.
Required step fields are used to guide data entry inside each stage. A business process flow stage can contain steps mapped to Dataverse columns, and marking a step as required ensures sellers complete key information before moving forward. This directly supports consistent opportunity data capture.
For reporting on business process flow execution, use the Active Opportunity Sales Process view. Business process flows have process instance records that can be viewed and reported on, allowing managers to monitor active process execution, stage progress, and process usage.
To run background logic after stage changes, use a Power Automate cloud flow. A cloud flow can react to Dataverse changes and perform automation such as notifications, updates, approvals, or follow-up task creation after a stage transition occurs.


71. Frage
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: Use Research mode and allow sellers to review insights manually.
Does the solution meet the goal?

Antwort: B

Begründung:
Yes, the solution meets the goal. The requirement has two parts: sales managers need deal insights, and the system must not automatically perform outreach to buyers. Sales Close Agent in Research mode is the correct fit because it researches opportunities, calculates importance and risk, generates summaries, and provides actionable recommendations for sellers to review manually. Microsoft states that the opportunity research experience shows a summary and a See full research page with complete opportunity insights and recommendations.
Research mode is intentionally different from Engage mode. Engage mode is the autonomous customer-interaction mode; Microsoft describes Sales Close Agent Engage as managing customer interactions and driving sales for high-velocity deals. By contrast, Research mode focuses on research, opportunity insights, risks, and seller guidance. Microsoft's configuration guidance for Sales Close Agent Research describes selecting opportunities to research, configuring refresh frequency, and providing company context so the agent can curate research insights. Therefore, using Research mode while requiring sellers to manually review the insights satisfies both requirements: the organization receives AI-generated deal intelligence, but buyer outreach remains under human seller control.


72. Frage
A company uses Dynamics 365 Sales to manage opportunities using a custom form.
Sellers spend significant time manually reviewing information about opportunities before contacting customers.
You need to reduce the time required for reviewing opportunities.
What should you add to the form?

Antwort: E

Begründung:
The correct answer is Opportunity summary. The requirement is not to score the opportunity, show the next activity, or display health indicators; it is to reduce the seller's manual review effort before contacting the customer. Microsoft's Copilot capability for Dynamics 365 Sales provides AI-generated summaries for opportunity records so sellers can quickly understand key deal context, related activities, emails, and important history without reading the full timeline manually.
Microsoft specifically states that Copilot record summarization generates concise summaries of key information from sales records such as opportunities, leads, and accounts.
Because the company uses a custom opportunity form, the opportunity summary widget must be added to that form. Microsoft's implementation guidance explicitly flags custom opportunity forms and asks whether the opportunity summary widget has been added, and the Copilot summary documentation notes that the opportunity summary widget is available by default on the standard form but must be added to custom forms. Up next guides sellers to the next activity, Health score and Predictive opportunity scoring evaluate opportunity risk or likelihood, and Timeline highlights is narrower than the full AI-generated opportunity overview.


73. Frage
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