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Microsoft AB-210 Exam Syllabus

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Before starting your AB-210 exam preparation, it is recommended to review the complete Microsoft Accelerating Sales Pipelines with AI in Dynamics 365 exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free AB-210 questions. We also provide premium AB-210 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.

Microsoft
Vendor
AB-210
Exam Code
69
Total Questions
5
Total Exam Domains

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AB-210 EXAM QUESTIONS

Microsoft AB-210 Exam Objectives

Section 1: Configure Dynamics 365 Sales core features for AI
Weight:
15-20%
Configure Sales
  • Evaluate prerequisites for deploying Sales
  • Configure mailboxes
  • Set up and configure business process flows
  • Configure the timeline
  • Evaluate options for importing and exporting data
  • Examine the Sales security model
  • Configure Microsoft 365 functionality, including Microsoft Teams, SharePoint, Outlook, and OneDrive
Create and manage the product catalog
  • Configure products and product families
  • Create and manage price lists, including currencies
Section 2: Optimize AI-driven sales
Weight:
20-25%
Design an AI-first sales strategy
  • Augment seller workflows by using Copilot and agents
  • Design the sales data model in Dataverse
  • Evaluate options for reporting and visualization
  • Differentiate features in Sales plans
Prepare to deploy agents
  • Configure prerequisites for deploying agents
  • Configure capacity, billing, and credits
Configure AI-powered intelligence and insights features
  • Configure the Sales accelerator
  • Configure work assignment and distribution
  • Set up conversational intelligence
  • Configure predictive scoring
  • Set up relationship intelligence
  • Configure Copilot features, including record summarization
  • Configure and use forecasts to help improve sales performance
  • Set up goals and goal metrics
Section 3: Qualify and prioritize leads by using AI
Weight:
15-20%
Generate and nurture leads
  • Configure the lead and opportunity experience
  • Fine-tune the predictive scoring model
Automate lead qualification by using the Sales Qualification Agent
  • Evaluate use cases for Research-only mode configuration versus Research and engage mode configuration
  • Configure the Sales Qualification Agent
  • Interpret the actions of the Sales Qualification Agent
  • Monitor the Sales Qualification Agent
Section 4: Develop deals by using intelligent opportunity research
Weight:
25-30%
Optimize opportunity management
  • Coordinate opportunity management with the Sales Close Agent
  • Add Opportunity Products, and configure pricing
  • Configure the opportunity pipeline view
  • Set up and configure the Sales Opportunity Agent
Automate deal closing by using the Sales Close Agent
  • Set up and configure the Sales Close Agent
  • Interpret the actions of the Sales Close Agent
  • Monitor the Sales Close Agent
  • Collaborate with the Sales Close Agent
Gather intelligence on sales deals by using the Sales Research Agent
  • Evaluate use cases for the Sales Research Agent
  • Configure the Sales Research Agent
  • Analyze sales performance by using research canvas
Section 5: Extend and enhance Sales
Weight:
10-15%
Configure supporting apps and services
  • Deploy and configure the Sales mobile app
  • Set up Teams calling
  • Configure an SMS channel
Expand the sales footprint by using Microsoft Power Platform
  • Create Power Automate flows
  • Embed Power Apps components and controls
  • Embed Power BI reports
Info