Microsoft AB-210 Exam Questions

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.

References/topics: Predictive lead scoring; lead scoring model prerequisites; qualified leads; disqualified leads; AI-driven lead prioritization.

The correct answer is C. To review the Sales Close Agent behavior for an opportunity, you open an opportunity researched by the agent and select See full research. Microsoft's current Dynamics 365 Sales documentation describes this flow: sellers open the My top opportunities from AI agent view, open an opportunity, review the summary section, and then select See full research to open the Opportunity research page, which contains the complete research insights and recommendations.

This page is the right place to understand what the agent is surfacing and why it is helping progress deals. The Opportunity research page includes deal importance, deal risks and mitigations, deal overview, key signals, and other research-driven insights. Option A is incomplete and incorrectly starts from Forecast; the documented entry point is the Opportunities area and the AI-agent opportunity view. Option B is not the best answer because Sales Agent Runs is used for operational run records and permissions, not the seller-facing full research output. Option D is fabricated; there is no requirement to configure the opportunity pipeline view to force the full research page into every opportunity side panel.

References/topics: Sales Close Agent Research mode; Sales Opportunity Agent; Opportunity research page; See full research; AI-generated opportunity insights and recommendations.

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.

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.

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.

References/topics: Sales Close Agent Research mode; opportunity research insights; manual seller review; Engage mode versus Research mode; AI-supported opportunity management.