Building Intelligent Applications (AB-410) Practice Test
Build your confidence for Building Intelligent Applications (AB-410). Practice the concepts, understand the answers, and strengthen your knowledge one question at a time.
Try a sample questionExam overview and details
Through this practice test, you can build the skills to design, create, and automate intelligent applications. You will work with three core areas: creating a foundation for intelligent applications, creating intelligent applications, and building business application logic and automation. These topics connect to practical abilities like structuring app architecture, integrating AI services, and streamlining workflows. When you are ready, take a focused study step by working through the practice questions to identify where to deepen your understanding.
Blueprint 1.0
Sample Questions
Choose an answer and explore the explanation to see how practice works.
104 of 116 answers carry a checkable reference.
An administrator needs to maintain visibility of all deployments across the tenant so that deployment requests can be approved and issues troubleshooted at enterprise scale. Which feature should be used?
A solutions architect is explaining why data storage solutions must continuously evolve in today's organizations. Which three demands of modern business applications should be highlighted?
A professional has basic knowledge of business processes and app building but has no prior experience working with AI, copilots, or agents in solution design. For whom is this course intended?
An environment admin wants to review the history of actions taken in the tenant, including actions performed by other administrators. What will this admin see in the action history?
A maker needs to model completely new business data before building an app around it. What is the recommended benefit of creating structured tables in Dataverse for this scenario?
Exam insights and study advice
These skills matter because organizations increasingly rely on intelligent applications to improve efficiency and decision-making. Professionals who can build and automate business logic with AI components are well-positioned for roles in application development, automation engineering, and digital transformation. Practicing these areas helps you contribute to real projects that connect AI capabilities to business needs.
What this exam covers
Use the published domain weights to plan your study. Practice results do not predict your certification exam score.
01Build business application logic and automation
Topics
- Create cloud flows
- Create prompts and models in AI Hub
- Implement business and process logic
Learning objectives
- Create cloud flows
- Create prompts and models in AI Hub
- Implement business and process logic
02Create a foundation for intelligent applications
Topics
- Design Microsoft Power Platform solutions by using AI-enabled tools
- Build data models
Learning objectives
- Design Microsoft Power Platform solutions by using AI-enabled tools
- Build data models
03Create intelligent applications
Topics
- Create model-driven apps
- Create canvas apps
Learning objectives
- Create model-driven apps
- Create canvas apps