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| Section | Objectives |
|---|---|
| Implement automation and orchestration | - Process automation
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Embed agents and AI experiences | - Agent integration
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
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質問 # 34
Drag and Drop Question
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.
正解：
解説：
Explanation:
Box 1: Choice column
You should use a Choice column (formerly known as an Option Set).
This column type allows you to define a static list of predefined classification values (e.g., "Tier 1",
"Tier 2", or "VIP") that users can select from a drop-down menu on the Account table/entity reference (Microsoft Dataverse).
Predefined List: A classification value implies choosing from a fixed, standard set of options (e.g., Gold/Silver/Bronze or VIP/Standard).
Native Feature: Choice columns allow users to select one or more values from a dropdown menu.
Low Overhead: They do not require creating or maintaining separate tables.
Box 2: Customer column
Box 3: Alternate key
You should use an Alternate key.
An alternate key in Microsoft Dataverse allows you to define a unique business key made of one or more columns. When you create an alternate key, the platform automatically generates a database index to enforce uniqueness and significantly optimize lookup performance.
Reference:
https://learn.microsoft.com/en-us/power-apps/developer/data-platform/define-alternate-keys-entity
質問 # 35
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?
正解：A
解説：
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/
質問 # 36
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.
正解：
解説：
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
質問 # 37
An accounting team is assigned to a model-driven app to manage financial data.
The app is currently visible in the app launcher but inaccessible to the accounting team.
Users must be able to:
# Open the app.
# Access and record financial data.
You need to resolve the access issues.
What should you do?
正解：D
解説：
Assigning the appropriate security roles is the complete action because model-driven app access and Dataverse data access are both role driven. The app must be shared with the role, and the role must grant the accounting team the table privileges required to read and create or update the financial records. Configuring app visibility privileges alone may make the app tile appear, but it does not establish the underlying table rights. Setting an app as default affects navigation or launch preference and does not grant access. Granting table-level permissions is only one part of the required configuration and, in Dataverse, those privileges are normally delivered through a security role; option C represents the combined mechanism expected by the question. The administrator should use least privilege, choose the correct access depth, and include privileges for dependent tables and processes used by the app. Existing visibility in the launcher is not proof of effective authorization. The AB-410 Study Guide includes both "configure access to model-driven apps" and
"configure security." Appropriate role assignment aligns the user, the shared app, and the table operations in one enforceable access model.
Study Guide reference/topic: "Create model-driven apps - Configure access to model-driven apps." AB-410 Study Guide | Microsoft Learn technical reference
質問 # 38
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?
正解：A
解説：
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
質問 # 39
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