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| Section | Objectives |
|---|---|
| Topic 1: Governance and application lifecycle management | - Responsible AI and ALM
|
| Topic 2: Build intelligent applications on Microsoft Power Platform | - Application development
|
| Topic 3: Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Topic 4: Implement automation and orchestration | - Process automation
|
| Topic 5: Embed agents and AI experiences | - Agent integration
|
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71. Frage
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 company must restrict access to this specific public view so that only managers can use it.
You need to configure view access.
What should you do?
Antwort: A
Begründung:
Microsoft Power Apps supports role-based access management for public system views in model-driven applications. Administrators can configure a public view so that it appears in the table list view selector only for users assigned specific security roles. To meet this requirement, the administrator should open the relevant view settings, select Specific security roles, assign the manager security role, and publish the configuration.
Users without the appropriate role will not see the restricted view in the supported view selector. Removing the view from application navigation does not provide the same targeted restriction. Quick Find settings primarily control search behavior, while table-level privileges determine access to underlying Dataverse records. Importantly, restricting a view does not independently secure sensitive data; appropriate record-level and column-level permissions must also remain enforced.
72. Frage
A company is building a prompt about product specifications. The company plans to use the prompt in Power Automate.
The prompt must use Retrieval-Augmented Generation to ground the model with additional business information.
You need to select the available knowledge source for the prompt.
What should you use?
Antwort: A
Begründung:
Dataverse table columns are the appropriate knowledge source for a prompt that must use Retrieval- Augmented Generation with current business information. Grounding the prompt with selected Dataverse data allows the model to incorporate governed product specifications at runtime instead of relying only on its pretrained knowledge. The maker can identify the relevant table and columns and then pass or retrieve the business context required by the prompt. A PNG image is an input artifact, not the structured knowledge source needed for specification retrieval. Plain text can provide fixed instructions or context but does not create a maintained enterprise data source. A PDF can be useful in other grounding experiences, but under the available prompt knowledge options in this scenario, the Dataverse table provides the direct, structured, updateable source. Access remains subject to environment and table security, so only approved data should be exposed to the prompt. The AB-410 Study Guide explicitly measures the ability to "add knowledge to a prompt." Selecting Dataverse table columns implements that objective while minimizing duplication of product data.
Study Guide reference/topic: "Create prompts and models in AI Hub - Add knowledge to a prompt." AB-
410 Study Guide | Microsoft Learn technical reference
73. Frage
A company is developing an intelligent customer support application using Azure AI services. The solution must analyze customer conversations, identify user intent, and provide automated responses while maintaining conversation context across multiple interactions. The development team wants a managed service requiring minimal machine learning expertise. Which Azure capability should be implemented?
Antwort: D
Begründung:
Azure AI Language conversational language understanding provides a managed natural language processing capability for identifying intents, entities, and user utterances. It is designed for conversational applications without requiring teams to build and train complex machine learning models. Azure Machine Learning and AKS are more suitable for custom ML scenarios requiring greater control over model development and deployment.
74. Frage
A company wants to provide managers with visual insights into business performance data.
Managers require aggregated and visual representations of data directly within the app to be viewed in parallel with a list of rows.
You need to configure the visual representation of data.
What should you do?
Antwort: D
Begründung:
Microsoft Power Apps model-driven applications support system charts that visualize aggregated Dataverse data directly within the application. System charts can display information using visualizations such as bar charts, line charts, and pie charts, depending on the data and chart configuration. Users can open the chart pane alongside a table view, allowing them to examine summarized information while reviewing the underlying records. Charts can also support interactive filtering and drill-down operations, helping managers investigate specific categories or business performance trends. System charts are reusable application components that can be included in solutions and made available to authorized users. Modifying application settings or navigation does not provide the required visualization. Although custom pages can support graphical interfaces, creating a system chart uses native model-driven app functionality and minimizes development effort.
75. Frage
You are creating a relationship between two Microsoft Dataverse tables.
You need to configure a one-to-many relationship between the Vendor and Shipment tables and ensure that all child records are deleted when the parent record is deleted.
Which configuration methods should you use?
Exhibit:
Antwort:
Begründung:
Explanation:
Add a lookup column to the Shipment table referencing the Vendor table; configure the Delete behavior as Cascade All.
A one-to-many relationship in Microsoft Dataverse is established by creating a lookup column in the child table that references the parent table. In this scenario, one Vendor can be associated with multiple Shipment records, while each Shipment references a single Vendor. Therefore, the Shipment table must contain the lookup column referencing the Vendor table. The requirement also specifies that deleting a Vendor must automatically delete all associated Shipment records. Configuring the relationship ' s Delete behavior as Cascade All ensures that the related child records are deleted when the parent record is deleted. Remove Link would clear the relationship without deleting the shipments, while Restrict would prevent deleting a Vendor that has associated shipments. Using Cascade All maintains the required relationship behavior and supports consistent data management across related Dataverse tables.
76. Frage
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