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Microsoft AB-210 Exam Syllabus Topics:

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

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Microsoft Accelerating Sales Pipelines with AI in Dynamics 365 Sample Questions (Q48-Q53):

NEW QUESTION # 48
A company plans to implement AI capabilities in Dynamics 365 Sales to automate multiple seller workflow tasks.
The company needs to assign AI capabilities that provide the following:
. Must identify contextual insights about accounts before outreach.
. Must generate overviews of opportunity activities and emails.
. Must evaluate and qualify incoming leads automatically.
You need to match the appropriate AI capability to each seller workflow task.
Which configuration should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Requirement
Configuration
Identify insights about accounts
Sales Research Agent
Generate opportunity overview
Copilot summarization
Automate lead processing
Sales Qualification Agent
The correct capability for identifying contextual account insights before outreach is Sales Research Agent .
This agent is designed to help sellers and sales leaders gather AI-generated research about customers, prospects, and sales targets, which directly supports pre-outreach preparation and account intelligence. It is not Conversation Intelligence, because Conversation Intelligence analyzes calls and seller-customer conversations after or during interactions, not account research before outreach.
For generating an opportunity overview, the correct capability is Copilot summarization . Copilot in Dynamics 365 Sales can generate quick summaries of opportunity and lead records, including relevant activity and communication context, so sellers can quickly understand the state of a deal without manually reviewing all historical interactions.
For automating lead processing, the correct capability is Sales Qualification Agent . This agent evaluates incoming leads against qualification criteria, researches lead context, determines fit, and can qualify or disqualify leads according to configured business rules. Predictive lead scoring prioritizes leads by likelihood to convert, but it does not perform autonomous lead qualification processing. Sales Close Agent is focused on opportunity/deal execution, not lead qualification.
References/topics: Sales Research Agent; Copilot record summarization; Sales Qualification Agent; AI- driven seller workflow automation; Dynamics 365 Sales AI capabilities.


NEW QUESTION # 49
A company uses Dynamics 365 Sales with the Sales Research Agent enabled. Sellers review the research canvas before planning outreach to customers.
You generate a Sales Research Agent blueprint on the research canvas.
You need to update a single component in the blueprint.
What should you do?

Answer: B

Explanation:
The correct action is Update a single block in the canvas. In Sales Research Agent, the research canvas generates a blueprint that contains research findings, visualizations, and blocks of insight.
Microsoft states that users can interact with visualizations through the AI cursor, ask follow-up questions, and then choose whether to update the existing block or generate a new blueprint. If Update block is selected, the existing block is updated with the new information; if Generate new blueprint is selected, the agent creates a new blueprint and adds a journey line.
This distinction matters. The requirement is to update one component, not rebuild the full blueprint. Regenerate the blueprint or Refresh the blueprint would affect the broader blueprint output:
Microsoft documents refresh/regenerate as actions for using latest data or producing new visualizations and insights, not for targeted single-block editing. The Dynamics 365 AI Optimization hub is unrelated to editing individual research canvas blocks.


NEW QUESTION # 50
You are creating a business process flow named " Onboard new pet " to support onboarding of new clients for a pet care business.
A partially completed business process flow is shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the exhibit.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Statement
Correct selection
To enable the business process flow to pass validation, you should ensure that the column used to evaluate the condition is added to the preceding stage.
After the flow has been updated to pass validation, when a user starts creating a new pet record, the user will see one stage.
The condition in the business process flow evaluates the Type column to determine whether the pet is a Cat .
However, the preceding stage, Basic Details , only contains the Name step. In a business process flow, a branching rule must be based on steps in the stage immediately before the condition. Microsoft's business process flow design guidance states that branching rules must be based on the steps in the preceding stage, so the Type column must be added as a step in the Basic Details stage before the condition can validate correctly.
After validation is corrected, a user who starts creating a new pet record will initially see one stage : Basic Details . The Litter type stage is conditional and appears only when the Type value satisfies the rule, meaning the pet type equals Cat. Microsoft explains that branch selection is automatic and happens in real time based on the rules defined in the process definition. Until the user enters a Type value that satisfies the condition, the cat-specific branch is not part of the visible process path.
References/topics: Business process flows; conditional branching; preceding-stage steps; process validation; model-driven app process bar.


NEW QUESTION # 51
A company plans to implement Dynamics 365 Sales and wants to design a Dataverse data model that supports AI-driven insights across the sales lifecycle.
The company must be able to track the progression of a deal from initial prospect identification through to finalized billing.
The data model must support the following requirements:
- Prospects must be captured before they become qualified sales deals.
- Qualified deals must support forecasting and pipeline analysis.
- Sales teams must be able to generate pricing proposals for customers.
- Accepted proposals must transition into fulfillment records and then
final billing records.
You need to design the Dataverse table model that supports the required sales lifecycle.
Which table relationship should you implement?

Answer: D

Explanation:
The correct sales lifecycle is Lead -> Opportunity -> Quote -> Order -> Invoice. In Dynamics 365 Sales, a lead captures an initial prospect before the person or organization is qualified.
Microsoft's sales process guidance explains that sellers generally work with leads during the qualifying stage, and the goal is to qualify and advance the lead to the next stage of the sales process. Once qualified, the deal becomes an opportunity, which is the record used for pipeline tracking, revenue estimation, sales stages, probability, and forecasting analysis. Microsoft's prospect-to-quote guidance states that Dynamics 365 Sales supports capturing, managing, scoring, and converting leads into opportunities when qualification criteria are met.
Quotes are then created from opportunities to present pricing proposals to customers. Microsoft states that quotes created from opportunities are prefilled with opportunity details and products.
Once the proposal is accepted, the quote can be converted into a sales order for fulfillment and then into an invoice for billing; Microsoft's quote/order/invoice process sample explicitly demonstrates converting an opportunity to a quote, a quote to a sales order, and a sales order to an invoice. Therefore, option B is the only sequence that correctly supports the full sales lifecycle.


NEW QUESTION # 52
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 Engage mode.
Does the solution meet the goal?

Answer: B

Explanation:
No, the solution does not meet the goal. The requirement clearly states that sales managers need insights about deals , but the system must not perform automatic outreach to buyers . Sales Close Agent Engage mode is designed for autonomous customer engagement. It can interact with buyers, send outreach or follow- up communications, and help progress sales conversations automatically. That violates the restriction in the question.
For this scenario, the appropriate configuration is Sales Close Agent in Research mode , not Engage mode.
Research mode supports opportunity management by analyzing deal context, surfacing risks, identifying signals, and providing recommended next actions to sellers. It gives managers and sellers AI-generated deal insights while keeping buyer communication under human control. That is exactly what the company requires.
Engage mode would only be acceptable if the company wanted the agent to actively contact buyers or automate customer-facing communication. Since the requirement explicitly prohibits automatic outreach, Engage mode fails the stated goal.
References/topics: Sales Close Agent; Research mode versus Engage mode; opportunity insights; deal risk analysis; AI-assisted opportunity management without autonomous outreach.


NEW QUESTION # 53
......

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