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| Section | Objectives |
|---|---|
| Topic 1: Build intelligent applications on Microsoft Power Platform | - Application development
|
| Topic 2: Implement automation and orchestration | - Process automation
|
| Topic 3: Embed agents and AI experiences | - Agent integration
|
| Topic 4: Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Topic 5: Governance and application lifecycle management | - Responsible AI and ALM
|
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NEW QUESTION # 57
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 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.
NEW QUESTION # 58
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 # 59
An organization wants to deploy an AI application that identifies defective products from manufacturing camera images. The company has thousands of labeled images and requires a customized model with continuous retraining capabilities. Which Azure service should be used?
Answer: D
Explanation:
Azure Machine Learning provides tools for developing, training, deploying, and managing custom machine learning models. Because the organization has labeled images and requires continuous retraining, a custom ML workflow is appropriate. Azure AI Vision offers prebuilt capabilities but is less suitable when specialized industrial image recognition models must be trained and optimized.
NEW QUESTION # 60
A company uses a Power Automate cloud flow to manage purchase approvals. Purchase orders will always be approved, rejected, or marked as escalated to a manager.
The company has the following requirements:
# Multiple approvers must be included in each approval request.
# Once approved, an email must be sent to the purchasing team that confirms the outcome.
# The flow must not wait for remaining approvers after a decision is reached.
You need to configure the approval.
Which three configurations should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: A,C,E
Explanation:
The approval must use Custom Responses - Wait for one response because the possible outcomes are Approved, Rejected, or Escalated. The standard Approve/Reject type cannot represent the required escalation response. Multiple approvers should be entered in a single approval action so the request is distributed consistently while the action completes after the first response, as required. After the approval returns, a Condition evaluates the selected response and sends the correct confirmation email or escalation path.
Creating separate approval actions in parallel would complicate cancellation and could allow several independent outcomes after the business decision has already been reached. The flow should record the responder and outcome and ensure the condition accounts for the exact custom response labels. The AB-410 Study Guide explicitly covers "manage approvals by using cloud flows," "configure cloud flow actions," and conditions. These three settings implement the response model, multi-approver distribution, and post-decision processing without waiting for remaining approvers.
Study Guide reference/topic: "Create cloud flows - Manage approvals." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 61
You make the following customizations to a Microsoft Dataverse environment:
- Create a new table.
- Add data to the new table.
- Delete an unused area from the site map.
The components must be transported to a different environment.
You need to determine the method required to transport each component.
Which method should you use?
Exhibit:
Answer:
Explanation:
Explanation:
New table - Solution; data for the new table - Configuration Migration Tool; site map - Solution.
Microsoft Power Platform solutions transport application metadata and components, including Dataverse table definitions and model-driven application site maps, between environments. Therefore, both the new table and the modified site map should be included in a solution. The Configuration Migration Tool is designed to transfer configuration and reference data between Dataverse environments using an export schema. Unlike solutions, it transports selected records rather than application component definitions. The SolutionPackager Tool performs a different function: unpacking and repackaging solution files, primarily for source control, version management, and automated build processes. It does not independently deploy application components. By selecting the appropriate migration method for each component, organizations can maintain data integrity, reduce deployment risks, and implement a structured application lifecycle management strategy across development, testing, and production environments.
NEW QUESTION # 62
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