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Microsoft AB-210 Exam Syllabus Topics:

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

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The objective of AB-210 is to assist candidates in preparing for the Accelerating Sales Pipelines with AI in Dynamics 365 (AB-210) certification test by equipping them with the actual Microsoft AB-210 questions PDF and AB-210 practice exams to attempt the prepare for your AB-210 Exam successfully. The Accelerating Sales Pipelines with AI in Dynamics 365 (AB-210) practice material comes in three formats, desktop AB-210 practice test software, web-based AB-210 practice exam, and AB-210 Dumps PDF that cover all exam topics.

Microsoft Accelerating Sales Pipelines with AI in Dynamics 365 Sample Questions (Q44-Q49):

NEW QUESTION # 44
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 # 45
A company is using Dynamics 365 Sales.
The company is NOT using predictive lead scoring. The company has historical sales records for the last three years.
You need to configure a predictive lead scoring model.
What is the minimum number of records required?

Answer: C

Explanation:
The minimum dataset for a predictive lead scoring model is 40 qualified leads and 40 disqualified leads. Microsoft's Dynamics 365 Sales documentation states that an organization must have created and closed at least 40 qualified and 40 disqualified leads within the selected training period to train the model. The broader lead and opportunity scoring documentation confirms the same threshold and distinguishes lead scoring from opportunity scoring: lead scoring requires qualified and disqualified leads, while opportunity scoring requires won and lost opportunities.
This distinction is critical. Predictive lead scoring predicts the likelihood that a lead will qualify or convert based on historical lead outcomes, so the model needs examples of both successful and unsuccessful lead qualification results. Won and lost opportunities are not the correct training records for lead scoring; they apply to predictive opportunity scoring. The question also states that the company has historical sales records for three years, but the model requirement is based on the minimum qualifying lead dataset, not merely the total age of available data. Therefore, the required minimum is 40 qualified leads and 40 disqualified leads.


NEW QUESTION # 46
Your company is preparing sellers for complex enterprise opportunities.
The company wants sellers to gather relevant insights before initial account engagement.
You need to determine when using the Sales Research Agent is appropriate.
In which two scenarios are you able to use the Sales Research Agent? Each correct answer is a complete solution. Choose two.
NOTE: Each correct selection is worth one point.

Answer: A,D

Explanation:
The correct scenarios are B and C. Sales Research Agent is designed for research and analysis, not autonomous record updates or email engagement. Microsoft describes the agent as an AI- powered research canvas that lets users solve complex business questions through natural language, generate research blueprints, review sales-data insights, and ask follow-up questions to refine the analysis. It can use Dynamics 365 Sales data, uploaded offline files such as CSV, Excel, or PDF, and connected data sources to support pipeline exploration and sales operations analysis.
Option B is correct because Microsoft states that Sales Research Agent may use Bing Search only when the Bing search consent setting is enabled. When Bing search is disabled, the agent operates only on internal data sources that the user already has permission to access. Option C is also correct because the agent generates a research blueprint with visualizations and a text overview, and users can continue iterating by asking follow-up questions or changing visualizations on the canvas.


NEW QUESTION # 47
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 # 48
You are the Dynamics 365 Sales administrator for an electronics company.
The sales team is having difficulty locating different products in the same category - for instance, all versions of flat screen TVs available.
You need to organize the products in a way that makes it easier for the sales team to search for products.
What should you use?

Answer: D

Explanation:
The correct answer is Product families because the requirement is to organize similar products into searchable categories. In Dynamics 365 Sales, product families are used to classify and group related products under a product hierarchy. Microsoft's product catalog guidance explains that products can be created as standalone products or inside a family depending on how the organization wants to organize and classify them, and the training module specifically describes creating product family hierarchies that include product bundles and individual products.
For the example in the question, "flat screen TV" would be the product family, while individual versions such as 42-inch, 55-inch, OLED, QLED, or 4K models would be products inside that family. This makes browsing and searching easier for sellers because related variants are grouped logically. Product unit groups define how products are sold, such as each, box, or case; they do not categorize products. Related products are used for cross-sell, upsell, substitute, or accessory recommendations, not primary catalog organization. Product bundles combine multiple products sold together as a package. Therefore, the correct catalog structure is Product families .
References/topics: Product catalog setup; product families; product classification; product hierarchy; Dynamics 365 Sales core product configuration.


NEW QUESTION # 49
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