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Microsoft AB-210 Sample Questions & Practice Test

Try 12 Microsoft Dynamics 365 Sales AI Consultant Associate (AB-210) sample questions, review AI-enhanced sales workflows, Copilot in Dynamics 365 Sales, lead qualification, opportunity research, Sales extensibility, and request an IT Mastery practice update.

AB-210 is the Microsoft Dynamics 365 Sales AI Consultant Associate route for candidates who design and configure AI-enhanced sales solutions in Dynamics 365 Sales, Copilot in Dynamics 365 Sales, and related agent capabilities.

Full app-backed IT Mastery practice for AB-210 is still being prioritized. Use this page to try 12 original sample questions, review the route fit, and compare adjacent Microsoft business-application, Power Platform, and agent routes.

Who AB-210 is for

  • functional consultants and business analysts who configure seller workflows in Dynamics 365 Sales
  • candidates working with Copilot-assisted selling, intelligent lead qualification, opportunity research, collaboration, and seller productivity
  • teams comparing Dynamics 365 Sales AI with broader Power Platform, Copilot Studio, and Microsoft Business AI routes

AB-210 exam snapshot

  • Issuer: Microsoft
  • Family: Microsoft Dynamics 365
  • Exam code: AB-210
  • Certification name: Microsoft Certified: Dynamics 365 Sales AI Consultant Associate
  • Assessment duration: 120 minutes, according to Microsoft Learn
  • Passing score: 700 scaled
  • Current IT Mastery status: Sample preview

Topic coverage for AB-210 planning

AreaPractical focus
Sales core features for AIConfigure Dynamics 365 Sales features so AI capabilities have clean records, stages, activities, and permissions to work with.
AI-driven sales optimizationUse Copilot, guided actions, seller summaries, collaboration, and productivity features without bypassing process controls.
Lead qualificationUse AI signals to prioritize leads while preserving business rules, data quality, and seller judgment.
Opportunity researchUse approved customer, account, contact, activity, and interaction data to support opportunity development.
Sales extensibilityExtend Sales with model-driven app configuration, Power Automate, connectors, security roles, and lifecycle practices.
If you need practice nowStart here
MB-280 Customer Experience AnalystAdjacent Dynamics 365 customer-experience route for sales, service, journeys, and insight workflows.
AB-250 Contact Center AI EngineerAdjacent Dynamics 365 AI route for service and contact-center workflows.
AB-410 Intelligent Applications BuilderBroader Power Platform intelligent-app route.
AB-620 AI Agent BuilderCopilot Studio and AI agent-building route.

Practice status

  • Current status: Sample preview
  • Full IT Mastery practice for this exam: still being prioritized
  • Best use right now: try the 12 sample questions, confirm AB-210 as your target Dynamics 365 Sales AI route, then use adjacent Dynamics 365, Power Platform, and Copilot pages while full app-backed practice is prioritized
  • Update path: use the update form near the top of this page if AB-210 is your actual target exam

Sample Exam Questions

Try these 12 original sample questions for Microsoft AB-210. They are designed for self-assessment and are not official exam questions.

Question 1

Topic: sales core features for AI

A company wants Copilot-assisted seller summaries to be useful, but opportunity records often have missing contacts, unclear stages, and inconsistent activity history. What should the consultant address first?

  • A. Disable opportunity tracking because Copilot can infer every sales detail automatically
  • B. Improve core Sales configuration, required data capture, activity tracking, and stage discipline
  • C. Move all opportunity notes into an unmanaged spreadsheet
  • D. Give every user system administrator access to avoid permission issues

Best answer: B

Explanation: AI-enhanced Sales features depend on reliable business data, process stages, permissions, and activity history. AB-210-style questions reward strengthening the Sales foundation before expecting AI features to produce useful seller guidance.

What this tests: Preparing Dynamics 365 Sales core features for AI-enabled workflows.


Question 2

Topic: Copilot-assisted selling

A seller asks Copilot to draft a follow-up email after a customer meeting. Which control should the implementation emphasize?

  • A. Send every AI-generated message automatically without seller review
  • B. Remove the customer record so Copilot cannot access context
  • C. Replace sales policies with prompt instructions only
  • D. Require seller review, approved context, tone guidance, and compliance with communication policies

Best answer: D

Explanation: Copilot can improve productivity, but seller-facing output still needs human review and policy-aware use. A strong implementation keeps the seller accountable for communication quality, accuracy, and compliance.

What this tests: Using Copilot productivity features without removing judgment and governance.


Question 3

Topic: lead qualification

A sales team wants AI to prioritize inbound leads. Which design is strongest?

  • A. Combine fit signals, engagement data, scoring rules, data-quality checks, and seller override or review
  • B. Qualify every lead automatically after the first website visit
  • C. Ignore historical conversion patterns because AI scoring never needs evidence
  • D. Delete low-scoring leads immediately without audit history

Best answer: A

Explanation: AI-assisted lead qualification should combine useful signals with process controls. The system can prioritize work, but sellers and managers still need transparency, override paths, and reliable lead data.

What this tests: Applying AI to lead qualification while preserving sales-process control.


Question 4

Topic: opportunity research

A seller needs an AI-assisted brief before a renewal meeting. Which data boundary matters most?

  • A. Use anonymous internet summaries only, even if internal relationship history is available
  • B. Include every tenant document regardless of access permissions
  • C. Ground research in approved account, contact, activity, product, and opportunity data that the seller is allowed to use
  • D. Avoid showing sources because citations slow down the seller

Best answer: C

Explanation: Opportunity research is useful when it is grounded in approved, permission-aware data. AI should support the seller with relevant context while respecting access controls and source quality.

What this tests: Designing permission-aware opportunity research.


Question 5

Topic: collaboration

A sales organization wants account teams to collaborate in Teams while keeping the Dynamics 365 opportunity as the system of record. What should the consultant configure?

  • A. Separate chat-only records with no link to Sales
  • B. Collaboration features that connect conversations, activities, and opportunity context while preserving record ownership and permissions
  • C. A public Teams channel for every customer
  • D. Manual copying of all chat messages into a personal notebook

Best answer: B

Explanation: Collaboration features should connect team communication to the sales record without weakening access controls or fragmenting the process. The opportunity remains the managed business record.

What this tests: Integrating collaboration with Dynamics 365 Sales workflows.


Question 6

Topic: agent monitoring

An AI sales agent qualifies leads but sometimes routes high-value prospects to the wrong queue. What should the team review?

  • A. The browser zoom level
  • B. Only the agent display name
  • C. A new color theme for the sales app
  • D. Topic logic, routing rules, lead attributes, test cases, analytics, and handoff outcomes

Best answer: D

Explanation: Agent behavior must be tested and monitored against business outcomes. Routing errors can come from topic design, source data, rules, or missing exception handling.

What this tests: Monitoring and improving Sales agent behavior.


Question 7

Topic: security roles

A seller sees Copilot summaries that reference accounts outside their territory. What should the consultant investigate first?

  • A. Dynamics 365 security roles, business-unit structure, sharing rules, field-level security, and data access used by AI features
  • B. The seller’s monitor resolution
  • C. Whether all data should be made public to simplify Copilot output
  • D. Whether to turn off audit logs

Best answer: A

Explanation: AI-assisted experiences must respect the same data boundaries expected in the sales application. Permission leakage is a governance issue, not a cosmetic issue.

What this tests: Applying security and data-access controls to AI-enhanced Sales.


Question 8

Topic: Sales extensibility

A company needs an approval step before discount terms are sent to a customer. Which extension approach is most appropriate?

  • A. Ask sellers to remember the approval rule manually
  • B. Edit the production database directly outside supported tools
  • C. Use supported Dynamics 365 and Power Platform configuration, such as business process logic, approvals, or Power Automate, with review and testing
  • D. Remove discount fields from the opportunity record

Best answer: C

Explanation: Sales extensibility should use supported configuration and automation patterns. Approval workflows can enforce process controls while keeping changes maintainable and auditable.

What this tests: Extending Sales with supported platform capabilities.


Question 9

Topic: AI quality

Sellers complain that AI-generated opportunity summaries omit the most recent customer objection. What is the best next step?

  • A. Tell sellers to ignore the summaries
  • B. Review source data freshness, activity capture, summary grounding, prompt behavior, and representative test cases
  • C. Delete the opportunity timeline
  • D. Replace every sales process with free-form chat

Best answer: B

Explanation: Summary quality depends on source data, recency, grounding, and test coverage. The consultant should diagnose why the objection is missing rather than assuming the AI feature is unusable or perfect.

What this tests: Troubleshooting AI-generated sales insights.


Question 10

Topic: seller adoption

Leadership wants to know whether Copilot-assisted selling is improving outcomes. Which measurement plan is strongest?

  • A. Count how many users have the feature enabled only
  • B. Ask one seller for an opinion after launch
  • C. Disable dashboards until after the fiscal year
  • D. Track adoption, lead response time, opportunity progression, data quality, seller feedback, and outcome metrics tied to the sales process

Best answer: D

Explanation: Adoption alone does not prove business value. AB-210 candidates should connect AI-enabled selling to measurable process and revenue-related indicators while also watching data quality and user feedback.

What this tests: Measuring AI-driven sales optimization.


Question 11

Topic: business requirements

A sales manager requests an AI feature that recommends next best actions. What should the consultant clarify before configuration?

  • A. Sales stages, decision points, data sources, ownership, success metrics, exception handling, and seller responsibilities
  • B. Only the preferred button color
  • C. Whether the feature can bypass the sales process entirely
  • D. Whether sellers can stop recording activities

Best answer: A

Explanation: AI features should be mapped to real seller workflows and business requirements. Clarifying process, data, ownership, and success measures prevents a vague feature request from becoming an unreliable implementation.

What this tests: Translating business requirements into AI-enhanced Sales design.


Question 12

Topic: lifecycle and governance

A team customizes Sales AI features directly in production and cannot reproduce changes in testing. What should be introduced?

  • A. More undocumented production edits
  • B. One shared administrator account for all makers
  • C. Environment strategy, solution lifecycle management, change review, testing, and rollback planning
  • D. No release notes because AI features change quickly

Best answer: C

Explanation: Dynamics 365 and Power Platform work should follow controlled lifecycle practices. AI-enhanced features still need environment separation, solution management, testing, ownership, and rollback planning.

What this tests: Managing the lifecycle of Sales AI configuration.

Official source

Revised on Thursday, May 14, 2026