Pass the Microsoft Certified: Dynamics 365 Sales AI Consultant Associate AB-210 Questions and answers with Dumpstech

Requirement

Configuration

Filter leads for assignment

Create a segment to filter the lead source. Add country/region as an additional condition.

Assign the country/region to the correct group

Assign the country/region to sellers with matching attributes.

Distribute leads to salespeople

Use load balancing.

The clean configuration is to create one reusable segment for webform leads, then add the varying country/region condition inside each country-specific assignment rule. Dynamics 365 Sales assignment rules are built by selecting the eligible segment first, then adding rule conditions to further filter records. Microsoft also recommends splitting conditions between segments and assignment rules to keep rules simpler and more efficient.

For routing to the correct sellers, use sellers with matching attributes . The scenario says salespeople manage leads by country/region and that a country/region attribute has been created. Assignment rules support assigning records to sellers who satisfy matching seller attributes or existing seller record fields, which avoids hardcoding individual sellers and is much easier to maintain as sellers change regions.

For distribution, use load balancing because the requirement is capacity-based: no seller should exceed 20 open leads. Dynamics 365 Sales load balancing distributes records based on seller workload/capacity, and seller capacity is calculated by subtracting active assigned records from the maximum configured capacity. Round robin is weaker here because it primarily considers assignment order, not workload.

References/topics: Sales accelerator work assignment; segments; lead assignment rules; seller attributes; seller capacity; load balancing.

Parameter

Option

Entity

Opportunity

Date field

Actual Close Date

Revenue field

Actual Revenue

The correct table is Opportunity because the goal measurement is based on deal amounts when opportunities are closed. In Dynamics 365 Sales goal metrics, rollup fields define which table and source attribute are used to calculate actual or in-progress goal values. Microsoft’s goal metric documentation gives the direct example of using the Opportunity table with the opportunity actual value/source attribute to track actual money amounts from opportunities closed as Won .

The correct date field is Actual Close Date because the goal period must be determined by when the deal was actually closed, not when the opportunity was created. Microsoft’s goal metric configuration guidance states that the Date Field determines the goal period that records roll up into, and gives Actual Close Date as the relevant example.

The correct revenue field is Actual Revenue because the requirement is based on the total deal amount upon closing the opportunity. Budget Amount and Total Amount do not represent the final closed deal value for goal actuals. Goal rollup fields calculate actual performance values for completed measurable results, which fits closed opportunity revenue.

References/topics: Dynamics 365 Sales goals; goal metrics; rollup fields; opportunity actual revenue; actual close date; sales performance tracking.

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. Option A is wrong because Sales Research Agent is analytical; it does not update opportunities with risk or importance values. Option D is wrong because automatic email engagement is the domain of sales/qualification engagement agents, not Sales Research Agent.

References/topics: Sales Research Agent; research canvas; AI-generated blueprints; Bing search consent; internal sales data analysis; intelligent opportunity research.

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.