AB-210 Exam Dumps - Microsoft Certified: Dynamics 365 Sales AI Consultant Associate Questions and Answers

Requirement

Configuration

Automatically prioritize leads based on conversion probability

Predictive lead scoring

Ensure the lead scoring improvement requirement is met

Automatically retrain model

The correct capability for automatically prioritizing leads based on conversion probability is Predictive lead scoring . Dynamics 365 Sales predictive lead scoring assigns scores to leads so sellers can prioritize the leads most likely to qualify or convert. Microsoft’s Sales documentation states that predictive lead scoring helps sales teams prioritize leads based on scores and improve lead qualification outcomes. This directly matches Contoso’s requirement to guide sellers toward high-potential leads and reduce inconsistent manual prioritization across regions.

To meet the requirement that lead scoring must continuously improve based on historical sales outcomes, configure the model to automatically retrain . Microsoft’s predictive lead scoring guidance explains that retraining uses the latest leads in the organization to improve model accuracy, and automatic retraining allows the application to retrain the model every 15 days. This is the correct option because Contoso wants the scoring model to improve continuously as more closed lead outcome data becomes available.

“Lead scoring model” is too generic; the AI capability required is specifically predictive lead scoring. “Relationship intelligence” supports relationship analytics and engagement insights, but it does not score leads by conversion probability. “Configure forecast” applies to pipeline forecasting, not lead scoring accuracy.

References/topics: Predictive lead scoring; lead prioritization; scoring model accuracy; automatic model retraining; AI-driven lead qualification.

For Dynamics 365 Sales predictive lead scoring, the model cannot be created unless there is enough historical lead outcome data in the selected training window. Microsoft’s predictive lead scoring configuration requirement states that the organization must have at least 40 qualified leads and 40 disqualified leads in the selected training period. The official guidance specifically explains that if the model is trained with leads from the past three months, the organization needs “at least 40 qualified and 40 disqualified leads” created and closed during that period.

In the sandbox, AdventureWorks has 30 qualified leads and 20 disqualified leads. However, 10 of the qualified leads are older than three months, and the business requirement says predictive scoring must be enabled for leads created within the last three months. Therefore, only 20 qualified leads are usable for this model. The sandbox currently has 20 usable qualified leads and 20 disqualified leads. To meet the required threshold of 40 each, the company needs 20 more qualified leads and 20 more disqualified leads . Simply creating 40 new leads is not enough because predictive scoring requires outcome-classified leads, not merely open or newly created records.

References/topics: Configure predictive lead scoring; lead scoring model training data requirements; AI-driven lead prioritization in Dynamics 365 Sales.

The required fix is about visibility and security , not agent operating mode. In the scenario, production has EnableRoleBasedSystemViews set to true, which restricts system views based on role configuration. Because the business requirement says all sellers should be able to access disqualified leads , the role-based system view setting must be updated so sellers can access the view that exposes leads disqualified by the Sales Qualification Agent.

The second required action is to change Lead table permissions. The customized Salesperson role currently grants sellers read access only to leads they own. That is too restrictive because leads disqualified by the Sales Qualification Agent may not be owned by each seller. To let all sellers view those records, sellers need organization-level Read permission on the Lead table. Option A is wrong because upgrading the agent to research and engage mode affects how the agent researches and interacts with leads; it does not solve seller access to disqualified records. Option C is also wrong because the look-back period controls which historical leads the agent evaluates, not who can view disqualified leads.

References/topics: Sales Qualification Agent; role-based system views; Dataverse security roles; Lead table read access; AI-driven lead qualification.

Requirement

Component

Mountaineer range

Product family

Athlete package

Product bundle

Metal range

Product property

The Mountaineer range should be configured as a Product family because it represents a product classification hierarchy. Dynamics 365 Sales uses product families to organize related products, child products, and bundles under a parent structure. Microsoft’s product catalog guidance states that product families can contain child product families, products, and bundles in a hierarchy, which fits the mountaineer cycle range with economy and premium fitting variations.

The Athlete package should be configured as a Product bundle because it combines multiple sellable items: a cycle, connected devices, and subscription-based analytics services. A bundle is used when multiple products are sold together as one commercial package. Dynamics 365 Sales allows products to be associated with a bundle, including quantities and required or optional components.

The Metal range should be configured as a Product property because sellers must choose a configurable attribute—chrome, aluminum, or titanium—when adding the mountaineer cycle to an opportunity. Product properties define product characteristics such as size, color, or component, and can be used at run time when adding products to opportunities, quotes, orders, or invoices.

References/topics: Product catalog setup; product families; product bundles; product properties; opportunity product configuration.

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.

References/topics: Sales Research Agent; research canvas; adding PDF data sources; blueprint regeneration; intelligent opportunity research.

Requirement

Tool

Perform purchase required by CFO

Microsoft 365 admin center

Configure Sandbox billing

Power Platform admin center

Configure Production billing

Microsoft 365 admin center

Why: Production requires reliable AI capacity so sellers are not blocked when prepaid Copilot capacity is depleted. The correct production setup is pay-as-you-go / billing policy configuration through the Microsoft 365 admin center . Azure portal is not the best answer here because the scenario says no Azure subscriptions are available , and Microsoft 365 admin center can be used for the billing policy workflow. Microsoft Agent 365 is for agent management/governance, not billing configuration.

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.

Issue

Configuration

Sellers are not able to access the dialer in Sales Hub

Assign the security role to the root business unit.

Existing third-party telephony system stopped working

Disable the Microsoft Teams dialer for sellers using the third-party system.

Dialer is not accessible in a custom model-driven app

Set the custom app as an available app in the dialer configuration.

For the first issue, the security role must be associated with the root business unit . Microsoft states that when Teams dialer is enabled for specific security roles, the selected roles must be associated with the root business unit; otherwise, users do not see the Teams dialer in Sales Hub. Merely assigning the role in the dialer configuration is not enough if the role is not rooted correctly.

For the second issue, Teams dialer conflicts with third-party telephony integrations that use Dynamics 365 Channel Integration Framework. Microsoft explicitly notes that when Microsoft Teams dialer is enabled, other telephony systems connected through Channel Integration Framework stop working for users for whom Teams dialer is enabled. Therefore, sellers who must continue using the third-party telephony system should not have Teams dialer enabled.

For the custom model-driven app issue, the dialer must be made available for that app in the dialer configuration. In the Teams dialer advanced options, administrators select the apps where the dialer should be available; Sales Hub is selected by default, so custom apps must be added explicitly.

References/topics: Microsoft Teams dialer; Dynamics 365 Sales calling; security roles; root business unit; Channel Integration Framework; custom model-driven app availability.

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.

The solution does not meet the goal. The requirement is explicit: AI billing must use pre-paid credits . Microsoft’s Dynamics 365 Sales billing guidance separates Copilot and agent billing into two models: prepaid capacity and pay-as-you-go . Prepaid capacity uses Copilot Studio message pack subscriptions that are purchased in advance, while pay-as-you-go bills for the actual number of messages consumed during the month.

Configuring capacity overages to a billing plan is not the prepaid-credit model. Overages are tied to consumption beyond allocated capacity and are handled through billing-plan/pay-as-you-go behavior. That conflicts with the requirement to use pre-purchased credits. For prepaid billing, the correct approach is to purchase Copilot Studio message packs or capacity packs and assign that prepaid capacity to the Dynamics 365/Power Platform environment. Microsoft’s Power Platform capacity guidance states that prepaid capacity can be assigned to environments, and when prepaid capacity is exhausted, administrators must reallocate capacity, purchase more credits, or enable pay-as-you-go billing.

Therefore, configuring overages may support monthly usage billing, but it does not satisfy the stated requirement that billing must use prepaid credits.

References/topics: Dynamics 365 Sales consumption-based billing; prepaid capacity; Copilot Studio message packs; Copilot credit capacity; pay-as-you-go overage handling.