Updated: Sep 10, 2026
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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Building Intelligent Applications |
| Exam Number: | AB-410 |
| Available Languages: | English |
| Passing Score: | 700 |
| Exam Price: | 165 USD |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Exam Format: | Performance-based, Multiple choice, Scenario-based, Case study |
| Related Certifications: | Microsoft Certified: Power Platform Functional Consultant Associate Microsoft Certified: Power Platform App Maker Associate |
| Real Exam Qty: | 40–60 |
| Recommended Training: | Microsoft Learn Learning Path: Build intelligent applications Course AB-410T00-A: 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 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Enhance solutions with AI and automation | 22% | - Build automation with Power Automate
|
| Topic 2: Build intelligent apps with Copilot and agents | 30% | - Integrate Copilot into canvas and model-driven apps
|
| Topic 3: Extend and secure intelligent solutions | 20% | - Secure access and data
|
| Topic 4: Create a foundation for intelligent applications | 28% | - Implement responsible AI principles
|
Question 1
An organization wants to deploy an AI application that identifies defective products from manufacturing camera images. The company has thousands of labeled images and requires a customized model with continuous retraining capabilities. Which Azure service should be used?
A. Azure Bot Service
B. Azure AI Language
C. Azure Machine Learning
D. Azure AI Vision image analysis
Question 2
A company tracks order processing duration using a model-driven app.
The company requires a system that provides the following functionality:
- The age of the order, based on the created date, must be displayed on forms and views.
- The value must update dynamically when viewed without storing the
result.
- The value must NOT be stored in the database.
You need to configure the column types.
Which two column types should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Calculated
B. Formula
C. BigInt
D. Prompt
Question 3
A developer creates an intelligent document processing solution that extracts invoice numbers, vendor information, and payment totals from scanned PDF files. The documents have different layouts depending on the supplier. The solution should minimize manual model training while supporting structured extraction. Which service should be selected?
A. Azure AI Document Intelligence
B. Azure AI Search indexing
C. Azure OpenAI embeddings
D. Azure AI Vision OCR
Question 4
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 implement the extensibility requirements.
Which two options should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Sitemap
B. Power Apps component framework control
C. Plugin
D. Business rule
E. JavaScript web resource
Question 5
A company has a product report in PDF format. The report must be rewritten with formal vocabulary and cadence.
The company requires a prompt that can be used within a canvas app to rewrite the report as a Word document. The prompt must reference a business glossary stored in a SharePoint site.
You need to make a suggestion for the expectations portion of the prompt to generate a report summary correctly.
What should you suggest?
A. Format the summary as a list of bullet points, which should be clear and use short sentences.
B. Use the PDF and the business glossary stored in the SharePoint site.
C. The summary should highlight key themes, product features, and recurring feedback.
D. Create a Microsoft Word document summary.
Solutions:
| Question 1 Answer: C | Question 2 Answer: A,B | Question 3 Answer: A | Question 4 Answer: B,D | Question 5 Answer: C |
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