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Microsoft AB-410 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Implement automation and orchestration | - Process automation
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Embed agents and AI experiences | - Agent integration
|
Microsoft Building Intelligent Applications Sample Questions:
1. A company uses a cloud flow to analyze incoming order form PDFs attached to emails.
The cloud flow must use an AI model to extract information from each order. The information must then be added to the enterprise resource planning (ERP) system.
You need to configure the flow.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A) Add the Classify into standard categories action.
B) Add the Process documents action.
C) Add the Extract standard entities action.
D) Specify the language and text.
E) Specify the model, document type, and document.
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Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.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 resolve the issues with the canvas apps.
Which two configurations should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A) Named formula
B) User-defined function
C) Context variable
D) Component library
E) Collection
3. A developer wants a generative AI application to consistently return responses in a structured format that another application can process automatically. Which technique should be applied?
A) Removing system instructions
B) Disabling validation logic
C) Increasing model randomness
D) Prompt engineering with output constraints
4. A company uses a Dataverse table to manage support cases.
You must provide employees with a summary of case information derived from multiple columns without requiring a manual review of the data.
The solution has the following requirements:
- Generate a case summary following the given instructions.
- Include the context of the current record in the generated output.
You need to configure the solution.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A) Create the column by using the prompt data type.
B) Configure a formula column to generate the response text.
C) Define a prompt that references the case fields.
D) Configure a business rule to populate the field automatically.
5. A company builds a canvas app to display and manipulate large datasets across multiple screens.
Users report the app takes a long time to load data when opened.
You need to optimize performance when the app is started.
What are three actions you can perform? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A) Use the Concurrent() function for data retrieval calls.
B) Use the ClearCollect() function to cache data.
C) Enable preloading in app settings.
D) Remove data retrieval calls from the App.OnStart.
E) Move data transformation logic from the source to Power Fx.
Solutions:
| Question # 1 Answer: B,E | Question # 2 Answer: B,D | Question # 3 Answer: D | Question # 4 Answer: A,C | Question # 5 Answer: A,B,D |

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