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| Section | Objectives |
|---|---|
| Implement automation and orchestration | - Process automation
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Embed agents and AI experiences | - Agent integration
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
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NEW QUESTION # 31
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.
Answer: A,C
Explanation:
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
NEW QUESTION # 32
A company is designing a model-driven app for customer service representatives.
The app must:
# Organize navigation into logical groupings based on business processes.
# Ensure only required data is included in the app navigation.
You need to configure navigation and table availability.
Which actions should you perform? To answer, move the appropriate actions to the correct requirements. You may use each action once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Logical navigation groupings - Customize the site map; Required tables in navigation - Add tables to app designer
The site map organizes a model-driven app's navigation into areas, groups, and subareas, so customizing it is the action that creates logical business-process groupings. Tables and other pages are exposed through those subareas. To ensure that only required table data is included, the maker adds the selected tables to the app in the app designer and omits unrelated tables. Configuring app settings changes runtime features and behavior but does not define the navigation hierarchy. App properties hold metadata such as name, description, or icon and likewise do not select the operational data components. The final app should be validated for dependencies because adding a table can also require forms, views, charts, and security-role privileges.
Navigation visibility does not itself grant data access; users still need the relevant Dataverse permissions. The Study Guide's model-driven app objectives include "compose a model-driven app" and configure its forms, views, and access. The correct mapping therefore uses the site map for information architecture and the app designer's table selection for component inclusion.
Study Guide reference/topic: "Create model-driven apps - Compose a model-driven app." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 33
A company uses Dataverse to configure derived values for sales records.
The company requires the following functionality:
# Evaluate an expression by using numerical columns in the same row.
# Calculate the result dynamically when accessed.
# Ensure the result is NOT stored as part of the table data.
The solution must minimize use of custom code.
You need to configure the app.
What should you do?
Answer: A
Explanation:
A formula column is designed for a dynamically derived value based on columns in the same Dataverse row.
The maker defines a Power Fx expression using the numerical source columns, and Dataverse exposes the result as a read-only calculated value when it is requested. The formula definition is maintained rather than a manually populated result column, so the application does not need a background job to keep the value synchronized. A real-time workflow or business rule would write a value into stored data and would have to run again whenever an input changes. A plug-in can calculate a value during a transaction or retrieval, but it introduces custom server-side code and deployment overhead that the requirement specifically asks to minimize. The formula must use supported data types and functions, and makers should consider precision, blank values, and division-by-zero behavior. Microsoft's formula-column documentation describes these columns as displaying calculated Dataverse values through Power Fx. The Study Guide includes "configure calculated, rollup, and formula columns." Option A is therefore the native low-code choice for the same-row dynamic calculation.
Study Guide reference/topic: "Implement business and process logic - Configure formula columns." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 34
A company uses a prompt to generate responses based on internal support knowledge.
The company requires the prompt to minimize generation of unsupported and incorrect information while ensuring responses remain useful.
You need to tune the prompt model settings.
How should you configure the model settings?
Answer: C
Explanation:
To minimize unsupported information and ensure factual accuracy, you should decrease the temperature setting to a low value, typically between 0.0 and 0.3. Lowering the temperature forces the model to prioritize the most probable words, making the responses conservative, deterministic, and tightly aligned with your internal support knowledge base.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/optimize-prompts-topic-configuration
NEW QUESTION # 35
A company wants to monitor an AI application's performance after deployment. The team needs information about response quality, latency, failures, and user interactions. Which practice should be implemented?
Answer: D
Explanation:
Monitoring and telemetry provide visibility into AI application behavior after deployment. Important metrics include latency, errors, user feedback, and response quality. Production AI systems require continuous evaluation because data patterns and user expectations change over time.
Model weights alone cannot reveal operational issues or application performance problems.
NEW QUESTION # 36
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