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| Section | Objectives |
|---|---|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Embed agents and AI experiences | - Agent integration
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Implement automation and orchestration | - Process automation
|
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NEW QUESTION # 20
You are configuring a dashboard in a model-driven app for sales managers. The dashboard displays opportunity pipeline data from the Opportunities table.
The company requires the following functionality:
# Show how each sales stage contributes to the total pipeline for each sales region.
# Ensure a newly created chart is available to users in the app.
# Use the My Open Opportunities dataset when the dashboard component loads.
# Prevent users from switching to a different chart at runtime.
You need to create and configure the chart and dashboard component.
How should you configure the requirements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Regional contribution - Stacked column chart; Publish chart in app - Select the chart for the table in app designer; Initial dataset - Set the Default View; Prevent chart switching - Clear Display Chart Selection
A stacked column chart is appropriate because each regional column can display the sales-stage segments that compose the region's total pipeline, making both overall magnitude and stage contribution visible. A standard column chart would compare separate values but would not show composition in the same bar, while a pie chart does not compare multiple regional totals effectively. The chart must be selected for the Opportunities table in the app designer so it becomes part of the model-driven app package available to users. The dashboard component's Default View should be set to My Open Opportunities so that dataset loads initially.
To prevent runtime chart switching, Display Chart Selection must be cleared; otherwise users can choose another available chart. "Default Chart" determines which chart opens first but does not prevent selection of others. The maker should verify that the chosen view and chart are shared through the app and that users have privileges to the underlying opportunity records. The Study Guide explicitly covers "create and configure model-driven app charts and dashboards." These four settings govern visualization type, app inclusion, initial data context, and runtime choice independently.
Study Guide reference/topic: "Create model-driven apps - Create and configure charts and dashboards." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 21
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 uses a model-driven app.
The company must be able to dynamically control how components of the form behave as users interact with it. The solution must modify the form in real time while the user interacts with the interface. You need to enforce client-side behavior dynamically.
Solution: Use JavaScript to dynamically show and hide columns.
Does the solution meet the goal?
Answer: A
Explanation:
JavaScript is the correct solution because model-driven app client scripting can respond to form and column events and change control properties while the form is open. An OnChange handler can evaluate the current value and call supported client API methods to set a control visible or hidden, enabled or disabled, or otherwise update the form experience without waiting for a server process. The script should be packaged as a JavaScript web resource, added to the form library, and registered against the appropriate event with the execution context passed to the handler. It should use formContext rather than deprecated global APIs and include null and error handling. This meets the real-time requirement directly. The answer does not imply that code should always be preferred: a business rule is better for supported declarative actions, but the series specifically identifies JavaScript as the complete dynamic show/hide implementation. Power Automate remains unsuitable for immediate UI manipulation. The Study Guide objective "evaluate use cases for business logic" requires choosing between declarative rules, client scripting, and automation based on where and when the logic must run.
Study Guide reference/topic: "Implement business and process logic - Evaluate use cases for business logic." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 22
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: B
Explanation:
To process user-submitted images natively within a canvas app using an existing AI Builder model, you should Call the model from app logic.
By adding the AI model as a data source and calling its .Predict() method in your Power Fx formulas, the app evaluates the images dynamically while the user interacts with it.
Reference:
https://learn.microsoft.com/en-us/ai-builder/powerfx-in-powerapps
NEW QUESTION # 23
A company develops an AI solution that extracts information from images, understands text, and generates responses. The architecture should combine multiple AI capabilities through managed services. Which design approach is recommended?
Answer: A
Explanation:
Modern intelligent applications commonly combine specialized AI services rather than relying on a single capability. For example, vision services can process images, language services can analyze text, and generative models can create responses. Composable architectures improve scalability, maintainability, and flexibility while allowing each service to handle its optimized workload.
NEW QUESTION # 24
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?
Answer: D
Explanation:
A Dataverse table is the best knowledge source for a Power Automate Retrieval-Augmented Generation (RAG) prompt handling product specifications.
Why Dataverse is better than PDF
Native Integration: Power Automate and Dataverse sit on the same Power Platform infrastructure.
This eliminates complex document parsing and connector lag.
Precise Grounding: AI models read structured rows and columns much more accurately than unstructured PDF layouts, tables, or multi-column text.
Real-Time Accuracy: Product specs change. Updating a Dataverse cell instantly updates the AI's knowledge. Modifying, re-uploading, and re-indexing a PDF creates version-control issues.
Accuracy: Minimizes model hallucinations because the AI reasons over discrete, low-code tabular data.
Reference:
https://microsoft.github.io/agent-academy/operative/08-dataverse-grounding/
NEW QUESTION # 25
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