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| Section | Weight | Objectives |
|---|---|---|
| Create a foundation for intelligent applications | 25-30% | - Build data models in Dataverse
|
| Build business application logic and automation | 40-45% | - AI prompts and models
|
| Create intelligent applications | 25-30% | - Create canvas apps
|
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10. Frage
You need to configure the Maintenance Request relationships to the other tables.
Which type of relationship behavior should you set? To answer, move the appropriate behavior types to the correct tables. You may use each behavior type once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
Maintenance Report - Parental; Technician - Referential, Restrict Delete The Maintenance Report relationship must use Parental behavior. A report is operationally dependent on its Maintenance Request: deleting the request must delete the related report, and assigning the request to a new owner must also assign the report. Parental behavior supplies cascading behavior for operations such as Assign and Delete, which matches both requirements. The Technician relationship must use Referential, Restrict Delete. The technician is an independent master record and must not be reassigned merely because a maintenance request changes owner. Restrict Delete also protects the related record arrangement where deletion would violate an existing reference. Referential, Remove Link would clear the lookup instead of blocking the relevant deletion, so it does not meet the stated protection requirement. This decision aligns with the AB-410 Study Guide objective "configure table relationships," including selection of relationship behavior according to ownership and cascade requirements.
Study Guide reference/topic: "Build data models - Configure table relationships." AB-410 Study Guide | Microsoft Learn technical reference
11. 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
12. Frage
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 Power Automate cloud flows to update column values.
Does the solution meet the goal?
Antwort: B
Begründung:
Correct:
* Use JavaScript to dynamically show and hide columns.
Using JavaScript to dynamically show, hide, or disable columns is an excellent and widely used solution for enforcing client-side behavior in a model-driven app. You achieve this in real time by adding JavaScript web resources and attaching event handlers to the form's OnLoad and OnChange events.
Incorrect:
* Use business rules to show inline error messages.
* Use Power Automate cloud flows to update column values.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/use-main-form-and-components
13. Frage
A company uses a cloud flow to analyze incoming order form PDFs attached to emails.
The cloud flow must use an AI model to extract information from each order. The information must then be added to the enterprise resource planning (ERP) system.
You need to configure the flow.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Antwort: A,E
Begründung:
The flow must add the AI Builder Process documents action and configure its model, document type, and document input. Process documents is the action associated with a trained document-processing model; it reads the attached PDF and returns the fields or tables defined by that model. The flow then maps those outputs to the ERP connector or API operation. Extract standard entities processes plain text for predefined entities and is not the document-field extraction operation described. Classify into standard categories assigns text categories rather than extracting order data. Specifying language and text belongs to text-processing actions and does not provide the required PDF/model configuration. The flow should retrieve attachment content, pass the binary document in a supported format, validate confidence scores or missing fields, and send failed documents to an exception path rather than silently writing incomplete ERP data. The Study Guide explicitly includes "consume an AI model in cloud flows" and "configure cloud flow actions." Options C and E provide the required model invocation and action configuration for document extraction.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume an AI model in cloud flows." AB-410 Study Guide | Microsoft Learn technical reference
14. Frage
A company is using a model-driven app to process orders. The company uses a custom integration to add orders to Microsoft Dataverse from two separate point-of-sale solutions.
Order numbers are stored in a column on an Order table named Number. The order numbers are prefixed with the value POS1- or POS2- depending on which point-of-sale system they originated from.
The company creates a calculated text column to store the clean order number. The clean order number must remove the point-of-sale system prefix.
You need to configure the action on the calculated column.
Which formula should you use?
Antwort: A
Begründung:
Each prefix contains five characters: P, O, S, the system digit, and the hyphen. TRIMLEFT(Number, 5) removes those five leading characters and returns the remaining clean order number. For example, POS1-
78421 becomes 78421, and POS2-78421 produces the same clean value. Removing four characters would leave the hyphen, while TRIMRIGHT would remove characters from the actual order number rather than the source-system prefix. CONCAT adds text and cannot perform the required cleanup. Because the source integration already guarantees one of the two fixed prefixes, the calculated expression can apply the same length consistently. Production design should still consider null values, unexpected prefixes, and maximum output length so malformed integrations do not produce misleading results. The result is derived rather than manually maintained, which prevents divergence between Number and the clean-number column. The AB-
410 Study Guide explicitly includes "configure calculated, rollup, and formula columns." Option C applies the calculated-text function that matches the exact prefix structure.
Study Guide reference/topic: "Implement business and process logic - Configure calculated, rollup, and formula columns." AB-410 Study Guide | Microsoft Learn technical reference
15. Frage
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