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Updated: Sep 12, 2026

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Microsoft AB-410 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Building Intelligent Applications
Exam Number:AB-410
Certificate Validity Period:2 years
Passing Score:700
Exam Price:165 USD
Available Languages:English
Related Certifications:Microsoft Certified: Power Platform Functional Consultant Associate
Microsoft Certified: Power Platform App Maker Associate
Exam Format:Performance-based, Multiple choice, Scenario-based, Case study
Exam Duration:120 minutes
Real Exam Qty:40–60
Recommended Training:Course AB-410T00-A: Build Intelligent Applications
Microsoft Learn Learning Path: Build intelligent applications
Exam Registration:Microsoft Learn Exam Registration
Pearson VUE Scheduling
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: Enhance solutions with AI and automation22%- Build automation with Power Automate
  • 1. Design flows using natural language
  • 2. Add AI actions and triggers
- Use AI Hub models and pre-built capabilities
  • 1. Implement text, image, and document processing
  • 2. Integrate generative AI features
Topic 2: Extend and secure intelligent solutions20%- Deploy, monitor, and maintain solutions
  • 1. Monitor performance and usage
  • 2. Manage solution lifecycle
- Secure access and data
  • 1. Configure roles and permissions
  • 2. Apply data protection policies
Topic 3: Build intelligent apps with Copilot and agents30%- Create and manage agents with Copilot Studio
  • 1. Design agent logic and conversation flows
  • 2. Connect agents to data and services
- Integrate Copilot into canvas and model-driven apps
  • 1. Customize Copilot responses and behavior
  • 2. Configure Copilot features and prompts
Topic 4: 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. Recommend environment and ALM strategies
  • 2. Analyze requirements and select components
  • 3. Evaluate built-in agents and AI capabilities

Microsoft Building Intelligent Applications Sample Questions:

Question #1

A company is designing a Power Platform solution that includes a model-driven app used by customer service representatives to manage support cases.
The company is evaluating which solution component to include in the app. The solution must meet the following requirements:
- Users must interact with system-generated responses while working
within forms and views.
- Responses must reflect the current data and context in the app.
- Users must remain within the app while interacting with the solution.
You need to recommend solution components for the app.
Which two components should you recommend? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

  • A. Copilot Studio agent
  • B. App assistant agent
  • C. Smart assist
  • D. Business rules
Answer: A,B

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Question #2

A company uses Dataverse to configure derived values for sales records.
The company requires the following functionality:
- Evaluate an expression by using numerical columns in the same row.
- Calculate the result dynamically when accessed.
- Ensure the result is NOT stored as part of the table data.
- The solution must minimize use of custom code.
You need to configure the app.
What should you do?

  • A. Create a JavaScript function.
  • B. Use a business rule to populate the value.
  • C. Create a calculated column.
  • D. Configure a dataflow.
Answer: C

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Question #3

Case Study 2 - Fabrikam Inc
Background
Fabrikam Inc. is an energy provider that operates wind and solar farms across multiple countries and regions. The company uses Microsoft Power Platform to manage asset maintenance, technician workflows, and predictive analytics.
Field technicians use canvas apps on mobile devices to capture inspection and repair data.
Operations managers use model-driven apps to monitor asset performance and maintenance history.
The company plans to enhance its platform by introducing AI-driven insights, improving reuse across applications, and establishing a formal application lifecycle management (ALM) strategy.
Current environment
Applications
Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.
Operations managers use a model-driven app to review maintenance records and asset performance trends.
Development practices
Developers build and modify applications directly in the production environment.
There is NO structured ALM process.
Solutions are NOT consistently used to package or deploy application components.
Reusable components are inconsistently implemented across apps, leading to duplication.
AI integration
Fabrikam Inc. plans to actively explore generative AI usage as part of the next phase of work.
Business requirement
Application development
The outdated mobile app must be replaced with a new app that supports responsive design principles, provides full control over the UI, and allows technicians to take and upload photos directly from their mobile devices.
The new app for the field technicians requires the name of the technician to be persisted on the home screen only. In addition, work orders must be displayed within a gallery.
All new apps must connect to a scalable, cloud-based relational data store.
Apps must support efficient data entry for technicians in the field.
Reusable UI elements must be implemented to reduce duplication.
AI capabilities
The company requires a generative AI solution to manage customer complaint responses and create custom inspection reports that align to an existing template.
Customer complaint responses must be generated in applications and based on emails being sent to a mailbox.
Custom AI development must be minimized.
Generative AI reusability
Generative AI solutions must accept dynamic inputs to adapt to different scenarios.
Generative AI solutions must be reusable across different Power Platform services.
Extensibility
Custom UI form components must be reusable across applications.
Use of server-side custom code must be minimized where possible.
Technical requirements
Application lifecycle management (ALM)
Separate environments must be used for development, testing, and production.
Solutions must be used to package application components, segmented based on functional areas.
Managed solutions must be deployed to the production environment.
Validation must occur before deployment to production.
Data processing
Aggregated values across related rows must be displayed for reporting.
Calculations must update automatically as new data is entered. Calculation data must be limited to a maximum length of 10.
Issues
Duplicate logic exists across multiple canvas apps.
Developers frequently overwrite changes in production.
Generative AI solutions produce inconsistent outputs due to missing or inconsistent inputs.
Maintenance metrics are not consistently calculated across related rows.
Drag and Drop Question
You need to create the new app based on the requirements.
Which configurations should you use? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:


Explanation:
Box 1: Context variable
The new app for the field technicians requires the name of the technician to be persisted on the home screen only.
The correct feature for this requirement is a Context variable.
Screen-Level Scope: Context variables in Power Apps are explicitly designed to hold a temporary state or value that only matters on the current screen.
Isolated Data: Because the requirement explicitly states that the technician's name only needs to be persisted on the home screen only, using a local/context variable ensures the data is isolated and does not occupy unnecessary memory across other pages or screens.
Box 2: Collection
Work orders must be displayed within a gallery.
The correct feature useful for this requirement is a Collection.
Tabular Data Storage: A collection is a specialized local variable in Power Apps explicitly designed to store multi-column data tables, arrays, or groups of records locally.
Gallery Integration: The primary purpose of a Gallery control is to display a list or table of multiple records. Setting the Items property of a gallery directly to a Collection (e.g., ClearCollect(colWorkOrders, WorkOrdersDataSource)) allows you to loop through, manipulate, and cleanly render each work order record.
Box 3: Named formula
Define logic statements.
When writing Power Fx logic inside a model-driven app (such as for Dataverse formula columns or modern commanding), the platform heavily relies on declarative, excel-like calculations.
Named formulas allow developers to define logic statements that automatically recalculate based on their dependencies, without needing manual variable management. They improve app efficiency by calculating values only when they are needed.
Scenario:
The outdated mobile app must be replaced with a new app that supports responsive design principles, provides full control over the UI, and allows technicians to take and upload photos directly from their mobile devices.
The new app for the field technicians requires the name of the technician to be persisted on the home screen only.
In addition, work orders must be displayed within a gallery.
All new apps must connect to a scalable, cloud-based relational data store.
Reference:
https://chrisworth.dev/posts/power-apps-variables-mastery-guide/

Question #4

A company is developing an intelligent customer support application using Azure AI services. The solution must analyze customer conversations, identify user intent, and provide automated responses while maintaining conversation context across multiple interactions. The development team wants a managed service requiring minimal machine learning expertise. Which Azure capability should be implemented?

  • A. Azure Synapse predictive analytics
  • B. Azure Machine Learning custom models
  • C. Azure AI Language conversational language understanding
  • D. Azure Kubernetes Service inference clusters
Answer: C

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Question #5

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result these questions will not appear in the review screen.
You administer the Microsoft 365 and Microsoft Power Platform environments for Contoso, Ltd.
The company has a model-driven app that is used to track customer interactions with employees.
The app uses standard table types for customers. A user named Elisabeth Rice signs in to the app by using the following sign in name: [email protected].
After marriage, Elisabeth changes her legal name to Elisabeth Mueller.
You need to update the sign in name for the user without losing any application history.
Solution: Change Elizabeth's username in the user record for the app.
Does the solution meet the goal?

  • A. Yes
  • B. No
Answer: B

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