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Microsoft AB-410 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Governance and application lifecycle management | - Responsible AI and ALM
|
| Topic 2: Implement automation and orchestration | - Process automation
|
| Topic 3: Build intelligent applications on Microsoft Power Platform | - Application development
|
| Topic 4: Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Topic 5: Embed agents and AI experiences | - Agent integration
|
Microsoft Building Intelligent Applications Sample Questions:
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 Machine Learning
B. Azure AI Vision image analysis
C. Azure Bot Service
D. Azure AI Language
Question 2
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Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.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The outdated mobile app must be replaced with a new app that supports responsive design principles, provides full control over the UI, and allows technicians to take and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 configure the generative AI reusability requirements. What should you do?
A. Call the prompt from a canvas app.
B. Use an input variable.
C. Call the prompt from a Power Automate cloud flow.
D. Output results as JSON.
Question 3
A company uses Microsoft Dataverse to manage prospects. The company has a business process flow named BPFA that is associated with the Prospect entity to streamline the prospect management process.
You add a field named Category to the Prospect entity. You create additional business process flows. You apply the business process flows to Prospect records based on the selected category.
Users can switch to any other newly configured business process flows but must not use BPFA.
You need to configure the solution.
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. Remove all of the privileges for BPFA.
B. Deactivate BPFA.
C. Change the display order of the business process flows to move BPFA to the bottom of the list.
D. Use a business rule.
Question 4
A company is building prompts in Microsoft Copilot Studio to support multiple customer service scenarios.
The company requires prompts to:
- Follow a consistent structure across use cases.
- Be reusable across multiple topics.
- Allow customization for different types of customer requests.
You need to build the prompts.
What should you do?
A. Store prompt text in variables and reuse the variables across topics.
B. Create prompts directly within each topic by using custom instructions for each scenario.
C. Configure prompt model settings to standardize response behavior across scenarios.
D. Create prompts by selecting templates from the prompt library and customizing them for each scenario.
Question 5
A company is using Microsoft Dataverse.
You must integrate Dataverse with a third-party AI service. The solution requires authentication and custom request handling to send and receive data.
You need to enable the integration.
What should you do?
A. Use a classic workflow.
B. Use an AI Builder model.
C. Configure an environment variable.
D. Create a custom connector.
Solutions:
| Question 1 Answer: A | Question 2 Answer: C | Question 3 Answer: A,B | Question 4 Answer: D | Question 5 Answer: D |




