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| Section | Objectives |
|---|---|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Implement automation and orchestration | - Process automation
|
| Embed agents and AI experiences | - Agent integration
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
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NEW QUESTION # 11
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: Elisabeth.Rice@contoso.com.
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: From Dynamics 365 Settings, select Email Configuration. In the active mailbox for the user, update the name.
Does the solution meet the goal?
Answer: A
Explanation:
Correct:
* Ask the Microsoft 365 administrator to sign in to the admin portal and change the user name.
Changing the username (User Principal Name/UPN) in the Microsoft 365 admin center updates the credentials the user employs to sign into the model-driven app. Because Microsoft Power Platform and Dataverse map permissions and record histories to the underlying, immutable object identifier (GUID) of the user record, modifying the UPN:
Preserves history: The system retains all ownership of records, historical timelines, and application tracking linked to that user account.
Updates the sign-in name: The new name flows directly into Microsoft Entra ID and syncs automatically with the Power Platform environment.
Incorrect:
* Change Elizabeth's username in the user record for the app.
* From Dynamics 365 Settings, select Email Configuration. In the active mailbox for the user, update the name.
NEW QUESTION # 12
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.
Answer: B,E
Explanation:
Scenario: Duplicate logic exists across multiple canvas apps.
The two features that can be used to remedy the problem of duplicate logic existing across multiple canvas apps are component library and User defined function.
Component library: This feature allows you to build reusable canvas components (containing both visual elements and custom properties with calculation or behavioral logic) and host them centrally. Multiple canvas apps can then import these components from the library, providing a single source of truth that simplifies maintenance across your entire app ecosystem.
User defined function (UDF): This Power Fx feature enables you to write a custom formula once, complete with input parameters and an output data type. By packaging this pure behavioral or calculation logic into an enhanced component property within a component library, the custom function can be called globally across multiple apps Reference:
https://learn.microsoft.com/en-us/power-apps/maker/canvas-apps/working-with-large-apps
NEW QUESTION # 13
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 a generative AI solution that meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
Scenario: The company requires a generative AI solution to manage customer complaint responses and create custom inspection reports that align to an existing template You should use a custom prompt (starting from a blank prompt) for the template alignment, and a pre-built model for the complaint responses.
Task 1: Inspection Reports (Aligning to an Existing Template)
Approach: Start from a blank prompt (Custom Prompt).
Reason: Pre-built templates are rigid and designed for standard tasks like summarizing text or translating language. To make an AI output match your specific corporate inspection layout, tone, and data points, you need to write custom system instructions and ground it with your specific template rules.
Task 2: Customer Complaint Responses
Approach: Use a pre-built model (specifically the "Reply to a complaint" or "Create text with GPT" pre-built models in AI Builder).
Reason: Microsoft provides pre-trained, ready-to-use models optimized exactly for sentiment analysis and standard customer service drafting. This saves you from writing complex prompts from scratch for standard business scenarios.
Reference:
https://learn.microsoft.com/en-us/dynamics365/field-service/faqs-inspection-designer
NEW QUESTION # 14
A company maintains a Power Platform solution that includes prompts, cloud flows, and Dataverse components. Multiple development teams are responsible for different features within the solution .
The development teams have the following requirements:
# Teams must develop and update the same features independently.
# Updates must not overwrite changes made by other teams.
# Production deployments must remain controlled and predictable.
You need to recommend an ALM approach that supports independent development and controlled deployment in line with Microsoft best practices.
What should you recommend?
Answer: C
Explanation:
Separate development environments and separate solutions provide the required isolation between teams, while managed deployments provide production control. Each team can own a functionally scoped solution in its own development environment, preventing concurrent makers from overwriting the same unmanaged component layer. The solutions can be source-controlled, validated, and deployed independently through an approved pipeline. Importing them as managed solutions in production gives the organization a controlled, upgradeable package and supports removal through solution uninstall when dependencies permit. Keeping separate solutions in one shared development environment does not fully isolate changes to common components. Direct changes in production bypass validation and make the deployed state difficult to reproduce. Unmanaged solutions in production merge customizations into the active layer and are not the recommended release artifact. Dependencies and shared components must still be planned deliberately so that one solution does not silently require another team's unmanaged work. This approach reflects the Study Guide requirement to "apply a Microsoft Power Platform solution and ALM strategy" and the standard separation of development, test, and production responsibilities.
Study Guide reference/topic: "Design Power Platform solutions - Apply a solution and ALM strategy." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 15
A developer creates an AI application requiring semantic search over millions of product descriptions. Users should find relevant products even when search terms do not exactly match stored text. Which capability is required?
Answer: D
Explanation:
Vector embeddings convert text into numerical representations that capture semantic meaning.
Vector search can identify related concepts even when exact keywords differ. Traditional keyword indexing depends heavily on matching terms. SQL procedures and compression techniques do not provide semantic understanding required for intelligent search experiences.
NEW QUESTION # 16
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