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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create intelligent applications | 25-30% | - Create canvas apps
|
| Topic 2: Create a foundation for intelligent applications | 25-30% | - Build data models in Dataverse
|
| Topic 3: Build business application logic and automation | 40-45% | - AI prompts and models
|
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NEW QUESTION # 88
A company builds a canvas app that processes images submitted by users and must classify them using an existing AI Builder model.
The app must generate predictions during user interaction.
You need to consume the AI model natively.
What should you do?
Answer: A
Explanation:
Microsoft AI Builder models can be integrated directly into canvas applications through Power Fx formulas.
Developers first add the existing AI model as a data source within the canvas app. They can then invoke the model from supported control properties or event formulas, such as a button ' s OnSelect property. For image classification, the application submits the selected image to the model and receives the corresponding prediction results. These results can be stored in variables, displayed in labels, or used to determine subsequent application behavior. Reusing a previously stored prediction would not classify newly submitted images. Adding a PCF control introduces unnecessary development complexity when native AI Builder integration is available. Retraining the model for every submission is also unnecessary. Power Fx enables dynamic AI predictions during user interaction without requiring custom component development.
NEW QUESTION # 89
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?
Answer: D
Explanation:
The maker should select an appropriate template from the prompt library and customize it for each scenario.
Templates provide a consistent starting structure and established prompt pattern while still allowing the instructions, inputs, grounding, and expected output to be adapted to a particular customer request. This balances standardization with scenario-level variation. Model settings influence behavior such as creativity or moderation, but they do not create a reusable prompt structure. Storing prompt text in ordinary topic variables duplicates unmanaged text and does not provide a governed prompt component with its own inputs and lifecycle. Creating unrelated prompts directly inside every topic would repeat structure and make maintenance inconsistent. Customized prompt components should be named clearly, added to solutions, tested against representative inputs, and versioned through ALM. Shared instructions can be kept consistent while scenario- specific requirements remain explicit. The AB-410 Study Guide contains the exact objective "build prompts from templates or from blank." Option D uses the template path for consistency and then applies the customization required for multiple service scenarios.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts from templates." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 90
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?
Answer: D
Explanation:
Microsoft Power Apps model-driven applications support dashboards that combine charts, record lists, and other visual components to present business performance information. A dashboard provides managers with a centralized interface for reviewing aggregated metrics and related operational records. System dashboards can contain charts and views, allowing users to examine graphical information alongside the underlying Dataverse rows. Interactive dashboards also support filtering and navigation to relevant records. This makes adding a dashboard appropriate when the requirement is to present multiple visual and tabular components within one application interface. Managing access to public system views controls visibility rather than creating visualizations. Specifying a default view determines which records appear initially, while modifying general application settings does not create the required visual representation. Dashboards therefore provide a configurable, low-code reporting experience.
NEW QUESTION # 91
Employees have difficulty distinguishing custom tables used in a model-driven app.
You are updating the model-driven app to improve usability and user experience.
You have the following requirements:
- Display a distinct icon for each custom table.
- Ensure icons appear consistently for the related tables.
- Apply the configuration without causing missing resource references.
You need to configure each table.
In which order should you perform the actions?
Exhibit:
Answer:
Explanation:
Explanation:
Add image resources to a solution # Open a table definition in the solution # Choose an image under a table image property # Save changes to the table configuration # Publish all customizations.
Microsoft Power Apps uses image web resources to provide custom icons for Dataverse tables displayed in model-driven applications. The appropriate process begins by adding the required image resources to a solution so that they are available for selection and can be included in solution deployments. Next, the developer opens the relevant custom table definition and locates its image configuration properties. The appropriate image web resource is selected and assigned to the table. The configuration must then be saved before publishing the customizations. Publishing makes the updated icons available within supported application interfaces. Microsoft recommends SVG images for scalable icons because they maintain visual quality across different sizes. Keeping image resources and their associated table configurations within a solution also helps maintain dependencies and reduces the possibility of missing resources during deployment.
NEW QUESTION # 92
A company wants to monitor an AI application's performance after deployment. The team needs information about response quality, latency, failures, and user interactions. Which practice should be implemented?
Answer: C
NEW QUESTION # 93
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