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.
Sample Questions
Choose an answer and explore the explanation to see how practice works.
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: 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
- 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
- Implement business and process logic: Configure business rules; Configure business process flows; Configure calculated, rollup, and formula columns; Evaluate use cases for business 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: 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
- 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
03Create intelligent applications
Topics
- Create model-driven apps
- Create canvas apps
Learning objectives
- 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
- 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