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| Section | Weight | Objectives |
|---|---|---|
| Extend and secure intelligent solutions | 20% | - Secure access and data
|
| Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
| Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
| Build intelligent apps with Copilot and agents | 30% | - Integrate Copilot into canvas and model-driven apps
|
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質問 # 33
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.
正解:B、D
解説:
Use the following data storage and state management tools:
For Tabular Data: Use Collections. They hold rows and columns of data, persist across multiple screens, and are perfect for storing temporary data during a session before saving them permanently. You can create and populate one using the ClearCollect() function.
For Selected Values Across Screens: Use Global Variables or pass parameters directly in your Navigate() function. Use Set() for app-wide values, like an item ID or the current user.
Incorrect:
[Not B]
Context variables are tied to a single screen and are primarily meant for simple text, numbers, or toggling pop-ups. They cannot hold whole tables.
Reference:
https://dev.to/mattbuildsapps/power-apps-variables-explained-global-vs-context-vs-collections-4l9n
質問 # 34
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Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.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?
正解:C
解説:
Scenario: The company requires a generative AI solution to manage customer complaint responses and create custom inspection reports that align to an existing template.
To achieve the requirement of managing customer complaint responses and creating custom inspection reports that align with a specific template, you should Call the prompt from a Power Automate cloud flow.
Automated Document Generation: Generating an inspection report matching an existing template requires background document-generation engines, file handling, and saving capabilities (e.g., population into SharePoint, Word Online, or OneDrive). Power Automate is specifically engineered to orchestrate these multi-step background enterprise automations.
Multi-Step Workflow Orchestration: A single automated cloud flow can naturally string together multiple tasks sequentially. For instance, it can ingest incoming data, run the AI Builder Run a prompt action to draft the empathetic complaint response, use a second prompt action to structure the template report, and then distribute both as needed.
Human-in-the-Loop Capabilities: Microsoft highly recommends adding human oversight for generative AI outputs in complaint responses before sending them to customers. Cloud flows make it easy to seamlessly pause mid-process and use Power Automate Approvals to let a human review the content.
Reference:
https://learn.microsoft.com/en-us/ai-builder/use-a-custom-prompt-in-app
質問 # 35
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?
正解:C
解説:
The expectations portion should specify that the summary is formatted as a clear bullet list with short sentences. Expectations describe what the generated output should look like and the constraints it must satisfy. Option C therefore defines both structure and writing style in testable terms. Highlighting themes and features describes content goals but is less specific about output form. "Use the PDF and the business glossary" belongs in the input or grounding context, where the prompt identifies the source report and approved terminology. "Create a Microsoft Word document" describes a downstream file or delivery action rather than the text-generation expectations; the prompt produces content, while the app or flow can create the Word artifact. The custom prompt should separately define the role, task, inputs, glossary grounding, and output expectations so each concern is explicit. The source answer A has been corrected to C. The Study Guide covers "build prompts," "add knowledge to a prompt," and "add inputs to a prompt." A precise bullet- format expectation helps produce consistent, professional output from the supplied report and glossary.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts and add knowledge." AB-410 Study Guide | Microsoft Learn technical reference
質問 # 36
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.
正解:A、B
解説:
Both Formula and Calculated columns can expose a value derived from other Dataverse data without requiring users to store and maintain the result manually. A formula column uses Power Fx and is evaluated from its referenced columns when the value is retrieved. This is suitable for calculating order age from Created On and the current date, subject to the supported Power Fx functions and data types. A classic calculated column also derives its read-only value from a defined expression and can use date-difference functions for an age calculation. BigInt is a stored numeric data type; it would require another process to keep the value current. A Prompt column generates AI content and is unrelated to a deterministic elapsed-time calculation. The important design distinction is that a dynamic age should not be written as ordinary row data, because it becomes stale as time passes. Formula or calculated behavior keeps the displayed result tied to the source expression. The AB-410 Study Guide expressly lists "configure calculated, rollup, and formula columns," making A and B the two relevant low-code column types.
Study Guide reference/topic: "Implement business and process logic - Configure calculated, rollup, and formula columns." AB-410 Study Guide | Microsoft Learn technical reference
質問 # 37
A company maintains an AI-enabled Power Platform solution that includes prompts, cloud flows, and Dataverse components. The solution is deployed to a production environment.
The company requires the following updates to the solution:
- New features must be released regularly.
- Updates must be validated before release.
- Deployed updates must be able to be removed from production if
necessary.
You need to update the solution while maintaining release control and following Microsoft best practices.
What should you do?
正解:B
解説:
Modifying the development environment and deploying the solution as managed is the correct action and aligns with Microsoft best practices.
Ability to Remove Deployed Updates: Importing a solution as managed allows you to cleanly uninstall the solution later if a rollback is necessary. Uninstalling a managed solution completely removes all its associated components (prompts, cloud flows, and Dataverse tables) from the production environment, whereas updating with unmanaged solutions results in additive-only changes that cannot be automatically deleted upon removal.
Reference:
https://learn.microsoft.com/en-us/power-platform/alm/organize-solutions
質問 # 38
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