Exam: Build intelligent applications (AB-410)

As a candidate for this Microsoft Certification, you’re a professional who builds AI-powered solutions in Microsoft Power Platform by using Microsoft Copilot, natural language prompts, and low-code tools. You create apps, data models, and flows that connect to agents, AI models and prompts, and visualizations to enrich these experiences.

In this role, your responsibilities include:

- Developing Dataverse data models, model-driven apps, and canvas apps.

- Integrating agents and Copilot features into canvas apps, model-driven apps, and Power Pages sites.

- Creating cloud flows and business logic.

You collaborate with:

- Environment and security administrators for policies, roles, identity, and authentication.

- Governance teams on responsible AI principles, application lifecycle management (ALM), solutions, pipelines, and monitoring.

- Agent developers, solution architects, and other app builders for business solution building.

- Business stakeholders to gather requirements, iterate business solutions, and promote user adoption.

Assessed on this exam:

• Create a foundation for intelligent applications
• Create intelligent applications
• Build business application logic and automation

Create a foundation for intelligent applications (25–30%)

• 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

Create intelligent applications (25–30%)

• 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

Build business application logic and automation (40–45%)

• 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

For this exam, you should have experience with:

• Using natural language to create solution assets.
• Dataverse modeling.
• Power Automate cloud flows.
• AI capabilities in Microsoft Power Platform.
• Power Apps development.
• Power Pages sites.

Prerequisites for the exam include:

• Familiarity with using Copilot in Power Apps, Copilot in Power Automate, Copilot in Power Pages, and Copilot in 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.