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| Section | Weight | Objectives |
|---|---|---|
| Create intelligent applications | 25-30% | - Create canvas apps
|
| Build business application logic and automation | 40-45% | - AI prompts and models
|
| Create a foundation for intelligent applications | 25-30% | - Design Microsoft Power Platform solutions using AI-enabled tools
|
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질문 # 17
A company is designing an AI-enabled solution to help employees review and evaluate customer requests.
The company requires an AI summary to be generated at runtime by using instructions provided by the company, including tone , structure, and required data fields. The Prompt control will use these instructions on Power Apps forms across multiple tables.
You need to store the instructions.
Which component should you use?
정답：D
설명：
The runtime instructions should be stored in an AI Builder custom prompt. A custom prompt is the managed component that holds the company's directions for tone, structure, required fields, inputs, and expected output. The same prompt can be invoked by Prompt controls on forms for different tables, provided the inputs are designed generically or mapped appropriately. A Power Platform AI model represents a model capability, but it is not the artifact used to store these scenario-specific natural-language instructions. A Dataverse prompt column applies generation to a table column; the question requires reusable instructions for controls across multiple tables, not a separate generated column definition. A business rule is deterministic logic and cannot store or execute generative instructions. The prompt should be solution aware, versioned through ALM, tested with representative records, and restricted to approved grounding data. The Study Guide explicitly measures the ability to "build prompts," "add inputs to a prompt," and consume prompts in apps. An AI Builder custom prompt is therefore the reusable instruction asset that the Prompt controls should call at runtime.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts." AB-410 Study Guide | Microsoft Learn technical reference
질문 # 18
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.
정답：B,C
설명：
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
질문 # 19
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?
정답：B
설명：
A custom prompt is the native low-code mechanism for generating an inspection report from current app data while following the company's existing template instructions. The maker can define inputs for the inspection fields, specify required sections, tone, order, and formatting, and invoke the prompt from the new app. This keeps the report-generation experience within Power Platform and minimizes custom AI development. A paginated report is well suited to deterministic, pixel-precise reporting, but it does not perform the requested generative composition and generally presents a separate reporting artifact. A Word template performs deterministic field substitution and is useful when no generative rewriting is required; it does not supply the AI-driven custom narrative described in the case. The prompt should be grounded only with approved inspection data, tested for missing inputs, and reviewed for output consistency before production use. The Study Guide covers "build prompts," "add inputs to a prompt," and "consume a prompt in apps." Option C is therefore the component that directly implements native generative inspection-report creation.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume a prompt in apps." AB-410 Study Guide | Microsoft Learn technical reference
질문 # 20
A company is building a canvas app that spans multiple screens.
The app must store selected values across screens and hold tabular data during a session.
You need to manage application state.
Which two components should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
정답：A,B
설명：
A global variable is appropriate for a selected scalar value that must remain available while the user moves between screens. It is created with Set and can be referenced anywhere in the canvas app for the remainder of the session unless changed. A collection is an in-memory table, so it is the correct component for holding multiple rows and columns of tabular data that controls such as galleries can consume. Context variables are scoped to a screen and would not reliably satisfy the cross-screen requirement. A data source is an external system or table rather than an application-state container; connecting to one does not itself preserve a temporary selection or session table. The maker should avoid duplicating authoritative data in a collection unless offline or transformation behavior requires it, and should clear sensitive session state when appropriate.
For large datasets, delegable source queries are preferable to indiscriminate collection loading. The Study Guide's exact canvas-app objective is "manage variables and collections." Options A and D match the required tabular and application-wide scalar state types.
Study Guide reference/topic: "Create canvas apps - Manage variables and collections." AB-410 Study Guide | Microsoft Learn technical reference
질문 # 21
An accounting team is assigned to a model-driven app to manage financial data.
The app is currently visible in the app launcher but inaccessible to the accounting team.
Users must be able to:
- Open the app.
- Access and record financial data.
You need to resolve the access issues.
What should you do?
정답：D
질문 # 22
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