Microsoft AB-210 Exam Dumps

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.

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.

The correct answer is D. Opportunities that use the expired price list can continue through their lifecycle. In Dynamics 365 Sales, a price list can include a Start Date and End Date to define the effective period for that price list, such as a promotional pricing period. Microsoft's pricing guidance explains that price lists and price list items define pricing for products, and that price calculation applies across opportunity, quote, order, and invoice records.

The expiration date controls the effective availability of the price list going forward; it does not automatically invalidate existing opportunity records that already reference that price list. This distinction matters operationally: if an opportunity was already created with a valid price list, the sales process can continue without forcing users to replace pricing midstream. That preserves pricing consistency across the opportunity lifecycle and prevents disruption to quotes, orders, and downstream sales documents.

Option A is too strong because Dynamics 365 does not require replacement of prices simply because the referenced price list later expires. Option B incorrectly limits use based on the creation date of the opportunity. Option C is not the best answer because the key supported behavior is continuation of existing opportunities, not adding expired price lists to new opportunities with a warning.

References/topics: Price lists; price list start and end dates; opportunity pricing; product catalog pricing; opportunity lifecycle management.

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.

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.