Free Practice Questions for Microsoft Intelligent Applications Builder (AB-410) Certification
- Guide checked for updates:
- 9 Oct 2026
- Question bank created:
- 28 Aug 2026
- Question bank last updated:
- 29 Aug 2026
Study with 357 exam-style practice questions designed to help you prepare for the Microsoft Intelligent Applications Builder (AB-410).
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Exam Details
Key information about Microsoft Intelligent Applications Builder (AB-410)
- Multiple choice
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- True/False
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Familiarity with Copilot in Power Apps, Power Automate, Power Pages, and Dataverse; awareness of creating agents with Microsoft Copilot Studio; foundational knowledge of AI models and prompts in AI Hub; ability to map business processes to flows, agents, or app capabilities; ability to work with Dataverse as a core data platform; familiarity with low-code automation, including Power Fx; awareness of environment governance, roles, policies, and solution lifecycle steps.
Professionals who build AI-powered solutions in Microsoft Power Platform using Microsoft Copilot, natural language prompts, and low-code tools; responsible for developing Dataverse data models, model-driven apps, and canvas apps; integrating agents and Copilot features; creating cloud flows and business logic.
Exam Topics & Skills Assessed
Skills measured (from the official study guide)
1: Create a foundation for intelligent applications
1.1: Design Microsoft Power Platform solutions by using AI-enabled tools
Analyze requirements to identify components and options for implementation Evaluate built-in agents to include in the business solution Recommend extensibility options Recommend environment types Apply a Microsoft Power Platform solution and ALM strategy
1.2: Build data models
Create and edit tables in the data workspace Create and modify standard tables Configure table properties Create and modify columns Configure table relationships Configure prompt columns Configure row summaries Configure public views Configure main forms Configure security
2: Create intelligent applications
2.1: Create model-driven apps
Create and configure forms for model-driven apps Create and configure views for model-driven apps Create generative pages by using natural language Compose a model-driven app Configure access to forms and views for model-driven apps Configure access to model-driven apps Create and configure model-driven app charts and dashboards
2.2: Create canvas apps
Create a canvas app using data Design apps for accessibility, performance, responsiveness, and usability Automate business processes from canvas apps Create reuseable components, including named formulas, user-defined functions, and component libraries Manage variables and collections Implement error handling Test canvas apps, including using Monitor Create a Copilot Studio agent from a canvas app
3: Build business application logic and automation
3.1: Create cloud flows
Recommend cloud flow triggers Evaluate and recommend connectors Manage approvals by using cloud flows Configure cloud flow actions Implement flow control with conditions and loops Test and troubleshoot cloud flows
3.2: Create prompts and models in AI Hub
Build prompts from templates or from blank Consume a prompt in apps Consume a prompt in cloud flows Add knowledge to a prompt Customize prompt settings, including models Add inputs to a prompt Consume an AI model in apps Consume an AI model in cloud flows
3.3: Implement business and process logic
Configure business rules Configure business process flows Configure calculated, rollup, and formula columns Evaluate use cases for business logic
Techniques & products