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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create intelligent applications | 25-30% | - Create canvas apps
|
| Topic 2: Build business application logic and automation | 40-45% | - Business logic
|
| Topic 3: Create a foundation for intelligent applications | 25-30% | - Design Microsoft Power Platform solutions using AI-enabled tools
|
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59. 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:
Correct:
* A cloud flow must integrate with an internal web service that is used across multiple flows and requires reusable actions.
This scenario requires a custom connector. Because it is a proprietary or internal service, Microsoft does not provide a pre-built native bridge. Building a Microsoft Custom Connector wraps the web service's REST/SOAP API into a reusable tool, eliminating the need to repeatedly configure HTTP headers and endpoints across separate flows.
Incorrect:
* A cloud flow must call a REST API by using a one-time HTTP action without reuse across flows.
A custom connector is not necessary here. For single-use or non-reusable integrations, using a generic built-in HTTP action step is the most efficient and fastest choice.
* A cloud flow must retrieve data from Microsoft Dataverse.
Power Automate includes a native, out-of-the-box Microsoft Dataverse connector. There is no need to develop a custom connector for default Power Platform data storage.
* A cloud flow must retrieve data from SharePoint Online lists.
SharePoint Online is fully supported by native Microsoft 365 integrations. You should use the pre- built SharePoint connector instead of creating a custom wrapper.
Reference:
https://alphavima.com/blog/power-apps-custom-connector-rest-api/
60. 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 Microsoft Dataverse.
Does the solution meet the goal?
Antwort: A
Begründung:
Correct:
* A cloud flow must integrate with an internal web service that is used across multiple flows and requires reusable actions.
This scenario requires a custom connector. Because it is a proprietary or internal service, Microsoft does not provide a pre-built native bridge. Building a Microsoft Custom Connector wraps the web service's REST/SOAP API into a reusable tool, eliminating the need to repeatedly configure HTTP headers and endpoints across separate flows.
Incorrect:
* A cloud flow must call a REST API by using a one-time HTTP action without reuse across flows.
A custom connector is not necessary here. For single-use or non-reusable integrations, using a generic built-in HTTP action step is the most efficient and fastest choice.
* A cloud flow must retrieve data from Microsoft Dataverse.
Power Automate includes a native, out-of-the-box Microsoft Dataverse connector. There is no need to develop a custom connector for default Power Platform data storage.
* A cloud flow must retrieve data from SharePoint Online lists.
SharePoint Online is fully supported by native Microsoft 365 integrations. You should use the pre- built SharePoint connector instead of creating a custom wrapper.
Reference:
https://alphavima.com/blog/power-apps-custom-connector-rest-api/
61. Frage
A company is using Microsoft Dataverse.
You must integrate Dataverse with a third-party AI service. The solution requires authentication and custom request handling to send and receive data.
You need to enable the integration.
What should you do?
Antwort: C
Begründung:
Use a Custom Connector. It is built specifically to wrap REST APIs and natively supports the required custom request handling and authentication needed to send and receive data with third- party AI services.
Reference:
https://learn.microsoft.com/en-us/connectors/commondataserviceforapps/
62. Frage
A company develops a Power Apps canvas app. The app logs events and performs data operations.
You review the following Power Fx formula used during application execution.
Exhibit:
You need to determine how the formula behaves during execution.
Evaluate the following statements:
1. The formula captures runtime events, including data operations and logged events.
2. The first Patch operation exists within the error-handling logic.
3. The second Patch operation triggers Notify only when it fails.
For each statement, select Yes if the statement is true. Otherwise, select No.
Exhibit:
Antwort:
Begründung:
Explanation:
Statement 1 - Yes; Statement 2 - No; Statement 3 - Yes.
Power Fx provides functions for capturing diagnostic information, modifying data, and handling runtime errors in canvas applications. The Trace function records custom diagnostic events that can be examined through Power Apps Live Monitor or supported telemetry integrations. Collect adds records to a collection, while Patch creates or modifies records in a data source. The first Patch operation is executed before the IfError expression and therefore is not directly protected by that error-handling block. The second Patch operation is executed within IfError, which evaluates whether the operation produces an error. If the operation fails, the associated Notify function displays a message to the user. The formula also uses Trace to record execution information. Combining these functions supports troubleshooting, controlled error handling, and improved application reliability.
63. Frage
You are configuring the Invoice table in Dataverse for a billing application.
Each invoice has multiple associated invoice line records.
You need to display columns with the following values:
- Total Handling Cost: The sum of the Handling Cost column on all related invoice lines.
- Remaining Balance: The Total Amount minus the Payment Received column.
You need to implement the Total Handling Cost and Remaining Balance columns on the Invoice table.
Which column types should you use?
Exhibit:
Antwort:
Begründung:
Explanation:
Total Handling Cost - Rollup; Remaining Balance - Formula.
Microsoft Dataverse provides Rollup and Formula column types for calculating values without requiring custom application code. A Rollup column aggregates information from related records by using supported aggregation functions such as SUM, COUNT, MIN, MAX, and AVG. Because Total Handling Cost represents the sum of Handling Cost values across related Invoice Line records, a Rollup column is appropriate. Rollup calculations are processed asynchronously through system jobs, and supported rollup values can also be recalculated manually. A Formula column uses Power Fx expressions to calculate a value based on existing column data. Remaining Balance can therefore be calculated by subtracting Payment Received from Total Amount. Formula columns calculate their values when retrieved rather than storing conventional manually entered values. These column types provide reusable calculations, reduce redundant automation, and support consistent financial reporting across Dataverse applications.
64. Frage
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