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| Section | Weight | Objectives |
|---|---|---|
| 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
|
| Create intelligent applications | 25-30% | - Create canvas apps
|
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68. Frage
A developer wants a generative AI application to consistently return responses in a structured format that another application can process automatically. Which technique should be applied?
Antwort: D
Begründung:
Prompt engineering can define expected response formats, including JSON structures, fields, and formatting requirements. This improves interoperability between AI-generated responses and downstream applications. Increasing randomness reduces consistency, while removing instructions weakens model behavior control. Validation logic should complement AI output processing rather than being disabled.
69. Frage
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?
Antwort: C
Begründung:
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
70. Frage
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.
Antwort: A,B
Begründung:
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
71. Frage
A company uses a model-driven app to enforce data quality standards.
The company requires the following app functionality:
# Ensure users enter a value in a specific column when a condition is met.
# Prevent users from saving the record until they complete the field.
The solution must be implemented without using code or automation.
You need to configure a business rule to meet the requirements.
What should you do?
Antwort: A
Begründung:
The business rule should use Set requirement level to make the target column Business Required when the stated condition is true. In a model-driven form, this prevents the record from being saved until a value is entered, and the requirement can be returned to Optional when the condition no longer applies. Show recommendation presents advisory guidance that a user may ignore, so it cannot enforce completion. Set field visibility only controls whether a control is displayed. Set default value supplies an initial value but does not guarantee that a valid value remains or that the user cannot clear it. The rule should be scoped to the intended table or form and should include both the true and false paths so requirement level does not remain incorrectly set after values change. If the rule must govern updates through APIs as well as forms, the designer must confirm that the selected scope and action provide server-side enforcement for the scenario. The Study Guide explicitly lists "configure business rules." Option D is the declarative, no-code action that implements conditional mandatory data entry and blocks the form save until the requirement is satisfied.
Study Guide reference/topic: "Implement business and process logic - Configure business rules." AB-410 Study Guide | Microsoft Learn technical reference
72. Frage
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result these questions will not appear on the review screen.
A company integrates external systems into Power Automate by using cloud flows.
The company must connect to external services with different characteristics and determine whether a custom connector is required.
You need to evaluate if a custom connector is necessary to meet the requirements.
Solution: A cloud flow must retrieve data from SharePoint Online lists.
Does the solution meet the goal?
Antwort: A
Begründung:
A custom connector is not required because SharePoint Online already has a Microsoft-supported connector.
The SharePoint connector exposes triggers for list-item creation or modification and actions such as Get item and Get items for retrieving list data. Authentication and connection management are handled through the standard connector, and its operations participate in environment connection references and data policies. A custom connector is appropriate when no suitable prebuilt connector exists or when proprietary API operations, schemas, and authentication must be exposed. Recreating normal SharePoint list operations as a custom connector would add API definition, testing, governance, and maintenance without adding required capability. The flow should select the standard action that matches whether one item or a filtered collection is needed and should use OData filtering or pagination for larger lists. The AB-410 Study Guide places this decision under "evaluate and recommend connectors." Because a supported SharePoint connector already meets the requirement, the proposed situation does not make a custom connector necessary. The correct response is No.
Study Guide reference/topic: "Create cloud flows - Evaluate and recommend connectors." AB-410 Study Guide | Microsoft Learn technical reference
73. Frage
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