Exam Code: AB-410

Exam Name: Building Intelligent Applications

Updated: Jul 22, 2026

Q & A: 91 Questions and Answers

Price: $59.99

About Microsoft AB-410 Exam

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Microsoft AB-410 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Create a foundation for intelligent applications28%- Design solutions using AI-enabled tools
  • 1. Analyze requirements and select components
  • 2. Recommend environment and ALM strategies
  • 3. Evaluate built-in agents and AI capabilities
- Implement responsible AI principles
  • 1. Ensure transparency and fairness
  • 2. Apply governance and compliance rules
Topic 2: Enhance solutions with AI and automation22%- Use AI Hub models and pre-built capabilities
  • 1. Implement text, image, and document processing
  • 2. Integrate generative AI features
- Build automation with Power Automate
  • 1. Design flows using natural language
  • 2. Add AI actions and triggers
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: Extend and secure intelligent solutions20%- Deploy, monitor, and maintain solutions
  • 1. Manage solution lifecycle
  • 2. Monitor performance and usage
- Secure access and data
  • 1. Configure roles and permissions
  • 2. Apply data protection policies

Microsoft Building Intelligent Applications Sample Questions:

1. A company wants an AI system to analyze customer reviews and determine whether opinions are positive, negative, or neutral. Which Azure AI capability is most appropriate?

A) Document conversion
B) Object detection
C) Speech synthesis
D) Sentiment analysis


2. A company builds a canvas app for support agents to enter customer notes and generate a summarized response by using a custom prompt.
The company requires the following functionality built into the prompt:
- Generate the summary immediately when the agent selects a button in
the app.
- Supply current user-entered data to the prompt.
You need to execute the prompt.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Publish the prompt for reuse in the environment.
B) Pass user input as parameters to the prompt.
C) Invoke the prompt directly from app logic.
D) Update the app settings.
E) Run the prompt through a cloud flow from the button.


3. 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 on the review screen.
A company uses a model-driven app.
The company must be able to dynamically control how components of the form behave as users interact with it. The solution must modify the form in real time while the user interacts with the interface.
You need to enforce client-side behavior dynamically.
Solution: Use business rules to show inline error messages.
Does the solution meet the goal?

A) No
B) Yes


4. 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) Configure a dataflow.
C) Create a calculated column.
D) Use a business rule to populate the value.


5. 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.
You need to provide a solution for field technicians to create custom inspection reports natively within the new app. What should you do?

A) Create a Word template.
B) Use a custom prompt.
C) Use a paginated report.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: B,C
Question # 3
Answer: A
Question # 4
Answer: C
Question # 5
Answer: B

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