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| Section | Weight | Objectives |
|---|---|---|
| Create intelligent applications | 25-30% | - Create model-driven apps
|
| Create a foundation for intelligent applications | 25-30% | - Design Microsoft Power Platform solutions using AI-enabled tools
|
| Build business application logic and automation | 40-45% | - Create cloud flows
|
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NEW QUESTION # 147
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: B
Explanation:
Using column-level security to remove read access is the correct and most appropriate approach.
In Microsoft Dataverse, column-level security (CLS) applies a restrictive model organization-wide.
Once you enable column security on a column, all users automatically lose read, create, and write access to that column by default. Because the underlying data engine strictly blocks unauthorized access, these columns are automatically hidden from forms, system views, personal views, and filter dropdowns. This safely prevents users from adding restricted columns when they try to build their own custom views or query filters.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/create-edit-field-solution-explorer
NEW QUESTION # 148
A company wants an AI system to analyze customer reviews and determine whether opinions are positive, negative, or neutral. Which Azure AI capability is most appropriate?
Answer: B
Explanation:
Sentiment analysis is a natural language processing capability used to determine emotional tone within text. It can classify opinions and provide confidence scores. Object detection analyzes images, speech synthesis generates audio, and document conversion changes formats. Review analysis is a common business scenario for sentiment analysis.
NEW QUESTION # 149
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: D
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 # 150
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 calculated column is the correct option because it can evaluate a mathematical expression over numerical columns in the same Dataverse row without custom code. Dataverse stores the calculation definition and derives the exposed read-only value from the underlying columns rather than requiring the application to maintain an ordinary stored result. This satisfies the requirement for a dynamic, non-manually persisted value.
A business rule would typically set a column value during a create or update event, resulting in stored data that can become stale if the rule does not run for every path. JavaScript operates only in supported client experiences and would not provide a consistent table-level value to all consumers. A dataflow transforms and loads data on a schedule or run; it materializes data rather than evaluating the field whenever accessed. The expression should account for blanks, numeric precision, and supported functions. The Study Guide explicitly lists "configure calculated, rollup, and formula columns." Under the choices provided, D is the native declarative behavior that matches the calculation, access, storage, and low-code requirements.
Study Guide reference/topic: "Implement business and process logic - Configure calculated columns." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 151
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 # 152
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