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| Section | Objectives |
|---|---|
| Implement automation and orchestration | - Process automation
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Embed agents and AI experiences | - Agent integration
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
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NEW QUESTION # 78
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: B
Explanation:
The app should be setup with a formula column.
Formula columns in Microsoft Dataverse perfectly match all of your requirements.
Same-row evaluation: Formula columns use Power Ffx to calculate values using other columns within the same row.
Dynamic calculation: They are calculated in real-time when the record is retrieved or accessed.
No data storage: The results are virtual. They are not stored physically in the database table, saving storage space.
Zero custom code: You build them directly in the Power Apps maker portal using low-code Power Ffx expressions, completely avoiding plugins or JavaScript.
Reference:
https://www.forvismazars.us/forsights/2025/05/how-to-use-formula-columns-in-microsoft-dataverse
NEW QUESTION # 79
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.
Answer: B,D,E
Explanation:
To optimize the startup performance of a Canvas app handling large datasets, you must focus on reducing the initial data payload and parallelizing operations.Here are three high-impact steps you can take:
[B] Remove data retrieval calls from App.OnStart:
Heavy data loading in App.OnStart blocks the app from rendering, forcing users to stare at a loading screen. Moving these calls to the OnVisible property of the first screen allows the UI to load immediately while data fetches in the background.
[D] Enable Concurrent Data Loading
By default, Power Apps loads data sources sequentially. You can use the Concurrent function in the App.OnStart or App.StartScreen property to load multiple collections or data sources at the exact same time. This dramatically reduces initial wait times.
[E] Use the ClearCollect() function to cache data: Storing large, frequently accessed datasets locally in a collection prevents the app from making repeated, slow network calls to the data source across multiple screens.
Reference:
https://learn.microsoft.com/en-us/power-apps/guidance/coding-guidelines/code-optimization
NEW QUESTION # 80
A company uses Power Apps.
Users must be able to view only the address1 columns in the Account table.
You need to ensure other address columns are not visible to users when creating views and filters.
What should you do?
Answer: D
Explanation:
Disabling the Searchable property for the unwanted address columns removes them from maker-facing query and view design experiences where searchable columns are offered for views, charts, and Advanced Find- style filtering. That directly addresses the requirement that users should not be able to select those columns while creating views and filters. Column-level security is not a metadata-hiding feature: removing Read access protects values at runtime but does not reliably remove the column definition from customization or query interfaces. A business rule can change controls on forms, but it does not govern which columns are available to a view designer. Deleting standard address columns is destructive, can break dependencies, and is unnecessary. The original answer A therefore over-applies data security to what is fundamentally a discoverability/configuration requirement; D is the verified answer. If the values themselves are sensitive, column security may be implemented in addition, but that is a separate requirement. This decision aligns with the AB-410 objectives "create and modify columns" and "configure public views," particularly the use of column metadata to shape view and filter authoring.
Study Guide reference/topic: "Build data models - Create and modify columns; Configure public views." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 81
A company uses a model-driven app across multiple departments.
A public view intended only for managers currently exposes sensitive columns and filters to all users.
The view must meet the following requirements:
- Restrict access to the specific public view to managers.
- Display only context-relevant views for other users.
You need to configure view access.
What should you do?
Answer: A
Explanation:
To achieve this goal, you should restrict the view by assigning it to the manager security role.
Incorrect:
[Not B]
Table-level permissions (Security Roles) control access to the data rows themselves, not the user interface components like views.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/manage-view-access
NEW QUESTION # 82
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.
Answer: C,D
Explanation:
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
NEW QUESTION # 83
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