Microsoft AB-410 Exam Details & Actual Exam Questions

  • Exam Code/Number: AB-410
  • Exam Name/Title: Building Intelligent Applications
  • Certification Provider: Microsoft
  • Corresponding Certification: Microsoft Certified: Dynamics 365 Sales AI Consultant Associate
  • Exam Questions: 91
  • Updated On: Jul,28 2026
  • Certification Level: Associate

Microsoft Building Intelligent Applications Exam Questions

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Microsoft AB-410 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Building Intelligent Applications
Exam Number:AB-410
Available Languages:English
Exam Duration:120 minutes
Certificate Validity Period:2 years
Related Certifications:Microsoft Certified: Power Platform Functional Consultant Associate
Microsoft Certified: Power Platform App Maker Associate
Exam Format:Multiple choice, Case study, Scenario-based, Performance-based
Exam Price:165 USD
Passing Score:700
Real Exam Qty:40–60
Recommended Training:Course AB-410T00-A: Build Intelligent Applications
Microsoft Learn Learning Path: Build intelligent applications
Exam Registration:Pearson VUE Scheduling
Microsoft Learn Exam Registration
Sample Questions:Microsoft AB-410 Sample Questions
Exam Way:Online proctored or onsite testing center
Pre Condition:Familiarity with Power Platform tools (Power Apps, Power Automate, Dataverse), basic AI concepts, and low-code development experience; no mandatory prerequisite exams
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-410

Microsoft AB-410 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Build intelligent apps with Copilot and agents30%- Integrate Copilot into canvas and model-driven apps
  • 1. Customize Copilot responses and behavior
  • 2. Configure Copilot features and prompts
- Create and manage agents with Copilot Studio
  • 1. Connect agents to data and services
  • 2. Design agent logic and conversation flows
Topic 2: Create a foundation for intelligent applications28%- Implement responsible AI principles
  • 1. Ensure transparency and fairness
  • 2. Apply governance and compliance rules
- Design solutions using AI-enabled tools
  • 1. Analyze requirements and select components
  • 2. Evaluate built-in agents and AI capabilities
  • 3. Recommend environment and ALM strategies
Topic 3: Enhance solutions with AI and automation22%- Use AI Hub models and pre-built capabilities
  • 1. Implement text, image, and document processing
  • 2. Integrate generative AI features
- Build automation with Power Automate
  • 1. Design flows using natural language
  • 2. Add AI actions and triggers
Topic 4: Extend and secure intelligent solutions20%- Deploy, monitor, and maintain solutions
  • 1. Manage solution lifecycle
  • 2. Monitor performance and usage
- Secure access and data
  • 1. Apply data protection policies
  • 2. Configure roles and permissions


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