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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create intelligent applications | 25-30% | - Create model-driven apps
|
| Topic 2: Build business application logic and automation | 40-45% | - Create cloud flows
|
| Topic 3: Create a foundation for intelligent applications | 25-30% | - Design Microsoft Power Platform solutions using AI-enabled tools
|
>> AB-410 Fragen Beantworten <<
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10. 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:
Model-driven app dashboards provide a centralized workspace for displaying aggregated information and business records through charts, lists, and other supported visual components. Administrators can create system dashboards that present information from Dataverse tables and make these dashboards available to application users. A dashboard can display a chart alongside a record list, allowing managers to examine business performance indicators and their underlying data together. Interactive dashboards also provide filtering capabilities that help users investigate operational information. Configuring application navigation only controls access to application areas, while a custom page would require additional design work to reproduce the required experience. A Power BI semantic model provides an analytical data structure but does not independently create the requested interface. A model-driven dashboard therefore offers an appropriate native solution for combining visual and tabular information.
11. Frage
A company uses a model-driven app to enforce data quality standards.
The company requires the following app functionality:
- Ensure users enter a value in a specific column when a condition is
met.
- Prevent users from saving the record until they complete the field.
- The solution must be implemented without using code or automation.
You need to configure a business rule to meet the requirements.
What should you do?
Antwort: D
Begründung:
You can satisfy all three requirements using a no-code Business Rule by setting the requirement level to Business Required.
This ensures that once your specific condition evaluates to true, the column becomes mandatory, a red asterisk appears, and the system dynamically prevents the user from saving the record until the field is populated.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/guide-staff-through-common-tasks-processes
12. Frage
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?
Antwort: D
Begründung:
Monitoring and telemetry provide visibility into AI application behavior after deployment. Important metrics include latency, errors, user feedback, and response quality. Production AI systems require continuous evaluation because data patterns and user expectations change over time.
Model weights alone cannot reveal operational issues or application performance problems.
13. Frage
Hotspot Question
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.
Antwort:
Begründung:
Explanation:
Box 1: Configure a stacked column chart.
To show how each sales stage contributes to the total pipeline for each sales region, you need to create a Stacked Column or Stacked Bar chart on the Opportunities table and add it to a dashboard.
Box 2: Select the chart for the table in the app designer
To ensure the newly created chart is available to sales managers in the model-driven app, you must select the chart for the table in the app designer.
In Power Apps model-driven apps, assets like tables, views, forms, and charts are not automatically included in an app just because they exist in the Dataverse environment.
The App Designer Rule: You must explicitly check the box next to your new chart under the Opportunity table components within the App Designer. If it is not selected there, users will not be able to see or interact with it inside that specific app.
The Dashboard Component: When you add a chart component to a dashboard, you also configure its properties. While "Enable Display Chart selection" allows users to toggle between different charts on the dashboard, the chart itself must still be a part of the app's included components to function correctly.
Box 3: Set the Default View
To set the "My Open Opportunities" dataset as the default view when your dashboard loads, you must configure the Default View property for the list or chart component within the dashboard designer.
Box 4: Clear display Chart selection
To meet this requirement, you must clear the "Show chart selection" checkbox in the dashboard component properties within the Power Apps app designer. This action locks the specific chart to the dashboard visual and prevents sales managers from changing it at runtime.
Reference:
https://learn.microsoft.com/en-us/dynamics365/sales/opportunity-pipeline-view-for-admins
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/set-properties-chart-list-included-dashboard
14. Frage
Case Study 2 - Fabrikam Inc
Background
Fabrikam Inc. is an energy provider that operates wind and solar farms across multiple countries and regions. The company uses Microsoft Power Platform to manage asset maintenance, technician workflows, and predictive analytics.
Field technicians use canvas apps on mobile devices to capture inspection and repair data.
Operations managers use model-driven apps to monitor asset performance and maintenance history.
The company plans to enhance its platform by introducing AI-driven insights, improving reuse across applications, and establishing a formal application lifecycle management (ALM) strategy.
Current environment
Applications
Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.
Operations managers use a model-driven app to review maintenance records and asset performance trends.
Development practices
Developers build and modify applications directly in the production environment.
There is NO structured ALM process.
Solutions are NOT consistently used to package or deploy application components.
Reusable components are inconsistently implemented across apps, leading to duplication.
AI integration
Fabrikam Inc. plans to actively explore generative AI usage as part of the next phase of work.
Business requirement
Application development
The outdated mobile app must be replaced with a new app that supports responsive design principles, provides full control over the UI, and allows technicians to take and upload photos directly from their mobile devices.
The new app for the field technicians requires the name of the technician to be persisted on the home screen only. In addition, work orders must be displayed within a gallery.
All new apps must connect to a scalable, cloud-based relational data store.
Apps must support efficient data entry for technicians in the field.
Reusable UI elements must be implemented to reduce duplication.
AI capabilities
The company requires a generative AI solution to manage customer complaint responses and create custom inspection reports that align to an existing template.
Customer complaint responses must be generated in applications and based on emails being sent to a mailbox.
Custom AI development must be minimized.
Generative AI reusability
Generative AI solutions must accept dynamic inputs to adapt to different scenarios.
Generative AI solutions must be reusable across different Power Platform services.
Extensibility
Custom UI form components must be reusable across applications.
Use of server-side custom code must be minimized where possible.
Technical requirements
Application lifecycle management (ALM)
Separate environments must be used for development, testing, and production.
Solutions must be used to package application components, segmented based on functional areas.
Managed solutions must be deployed to the production environment.
Validation must occur before deployment to production.
Data processing
Aggregated values across related rows must be displayed for reporting.
Calculations must update automatically as new data is entered. Calculation data must be limited to a maximum length of 10.
Issues
Duplicate logic exists across multiple canvas apps.
Developers frequently overwrite changes in production.
Generative AI solutions produce inconsistent outputs due to missing or inconsistent inputs.
Maintenance metrics are not consistently calculated across related rows.
You need to configure the generative AI reusability requirements. What should you do?
Antwort: A
Begründung:
Scenario: The company requires a generative AI solution to manage customer complaint responses and create custom inspection reports that align to an existing template.
To achieve the requirement of managing customer complaint responses and creating custom inspection reports that align with a specific template, you should Call the prompt from a Power Automate cloud flow.
Automated Document Generation: Generating an inspection report matching an existing template requires background document-generation engines, file handling, and saving capabilities (e.g., population into SharePoint, Word Online, or OneDrive). Power Automate is specifically engineered to orchestrate these multi-step background enterprise automations.
Multi-Step Workflow Orchestration: A single automated cloud flow can naturally string together multiple tasks sequentially. For instance, it can ingest incoming data, run the AI Builder Run a prompt action to draft the empathetic complaint response, use a second prompt action to structure the template report, and then distribute both as needed.
Human-in-the-Loop Capabilities: Microsoft highly recommends adding human oversight for generative AI outputs in complaint responses before sending them to customers. Cloud flows make it easy to seamlessly pause mid-process and use Power Automate Approvals to let a human review the content.
Reference:
https://learn.microsoft.com/en-us/ai-builder/use-a-custom-prompt-in-app
15. Frage
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Die Prüfungen, die ITer ablegen wollen, sind vielleicht Microsoft Zertifizierungsprüfungen. Als die international zertifizierte Prüfung sind Microsoft Prüfungen immer mehr populärer. In dieser Prüfung ist Microsoft AB-410 Zertifizierungsprüfung die wichtigste Prüfung. Diese Zertifizierung kann Ihre sehr ausgezeichnete Fähigkeit beweisen. Aber diese Prüfung ist sehr schwierig wie die Wichtigkeit der Prüfungen. Aber sorgen Sie sich bitte nicht um den Erfolg, weil ExamFragen Ihnen helfen, diese Microsoft AB-410 Prüfung zu bestehen.
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