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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create a foundation for intelligent applications | 25-30% | - Build data models in Dataverse
|
| Topic 2: Build business application logic and automation | 40-45% | - Create cloud flows
|
| Topic 3: Create intelligent applications | 25-30% | - Create canvas apps
|
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問題 #58
A company is building prompts in Microsoft Copilot Studio to support multiple customer service scenarios.
The company requires prompts to:
- Follow a consistent structure across use cases.
- Be reusable across multiple topics.
- Allow customization for different types of customer requests.
You need to build the prompts.
What should you do?
答案：B
解題說明：
To best fulfill your requirements, you should create prompts by selecting templates from the prompt library and customizing them for each scenario.
The Microsoft Copilot Studio Prompt Library provides pre-built, standardized formats specifically designed to enforce a consistent structure. By taking a library-first approach and adding input/output parameters, you can build a modular system where a single base prompt is easily customized and reused across multiple topics.
Incorrect:
[Not A]
Configuring prompt model settings, on the other hand, only dictates the underlying LLM variant (e.g., GPT-4o) and generic runtime attributes, which does not solve for structural logic, reusability, or scenario customization.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/prompt-library
問題 #59
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 call a REST API by using a one-time HTTP action without reuse across flows.
Does the solution meet the goal?
答案：B
解題說明：
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/
問題 #60
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.
答案：A,C,D
解題說明：
The app should remove avoidable retrieval work from App.OnStart, enable supported preloading, and run independent retrieval calls with Concurrent. App.OnStart executes before the user can interact with the app; large or sequential data operations there directly extend startup time. Moving work to named formulas, screen- level loading, or on-demand execution allows the shell to become usable sooner. Preloading prepares supported app resources and data behavior ahead of use, reducing perceived delay where the setting applies.
Concurrent evaluates independent formulas at the same time rather than serially, so total wait time approaches the longest individual call instead of the sum of all calls. Moving transformations from the source into Power Fx can reduce delegation and force more records onto the client, which usually harms performance.
ClearCollect can cache a bounded dataset, but loading a large dataset into a collection at startup is precisely the pattern the scenario needs to reduce. The corrected answer is B, C, and D. This aligns with the Study Guide objective to design canvas apps for "performance" and with Microsoft guidance to minimize App.
OnStart dependencies and parallelize independent operations.
Study Guide reference/topic: "Create canvas apps - Design apps for performance." AB-410 Study Guide | Microsoft Learn technical reference
問題 #61
You are designing a data model for a company. The model uses only standard Microsoft Dataverse tables.
You must extend the existing Accounts and Contacts tables to support the following business requirements:
# Store an additional classification value on the Accounts table.
# Add a field that indicates a customer's engagement tier on the Contacts table.
# Create a mechanism to improve lookup performance and ensure uniqueness across selected fields.
You need to modify the tables to support the business requirements.
Which components should you use? To answer, move the appropriate components to the correct requirements.
You may use each component 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.
答案：
解題說明：
Explanation:
Accounts classification - Choice column; Contacts engagement tier - Choice column; Lookup performance and uniqueness - Alternate key Both classification requirements should use Choice columns. An account classification and a contact engagement tier are controlled categorical values; Choice columns provide a governed option list, validation, labels, and consistent filtering. If the same option set is needed across tables, the maker should define a reusable global choice and reference it from both columns. A Customer column is a special polymorphic lookup that can reference an Account or Contact row; it represents a customer relationship, not a tier or classification. The lookup-performance and uniqueness requirement should use an alternate key. An alternate key creates a Dataverse key definition over selected columns so integrations can identify a row by business data and Dataverse can enforce uniqueness. The original embedded answer image is intentionally preserved, but the Customer-column selection for engagement tier is technically incorrect; the verified selection is Choice column. The Study Guide covers this under "create and modify columns" and "configure table properties." The final mapping is therefore Choice column for both categorical attributes and Alternate key for the lookup/uniqueness requirement.
Study Guide reference/topic: "Build data models - Create and modify columns; Configure table properties." AB-410 Study Guide | Microsoft Learn technical reference
問題 #62
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?
答案：A
解題說明：
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
問題 #63
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