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| Section | Objectives |
|---|---|
| Topic 1: Implement automation and orchestration | - Process automation
|
| Topic 2: Governance and application lifecycle management | - Responsible AI and ALM
|
| 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: Build intelligent applications on Microsoft Power Platform | - Application development
|
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NEW QUESTION # 52
A company builds a canvas app for support agents to enter customer notes and generate a summarized response by using a custom prompt.
The company requires the following functionality built into the prompt:
# Generate the summary immediately when the agent selects a button in the app.
# Supply current user-entered data to the prompt.
You need to execute the prompt.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: A,E
Explanation:
The app should pass the current user-entered values as prompt parameters and invoke the prompt directly from the button's Power Fx logic. Parameters ensure that the generated summary is grounded in the text currently displayed in the app rather than stale or hard-coded data. Direct invocation from the button provides the immediate interactive behavior required by the scenario. A cloud flow can also consume a prompt, but it adds an orchestration layer that is u nnecessary when the requirement is limited to a synchronous canvas-app interaction. Publishing the prompt is part of making a completed component available, but it does not execute the prompt or provide the current input. Updating general app settings is unrelated. The button formula should validate blank content, handle errors, and place the returned summary in a variable or control only after a successful response. The prompt's inputs and output should be typed and tested for expected maximum lengths. The Study Guide explicitly includes "add inputs to a prompt" and "consume a prompt in apps." Options B and C meet those two runtime responsibilities.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume a prompt in apps." AB-410 Study Guide | Microsoft Learn technical reference
Topic 1, 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.
NEW QUESTION # 53
A company uses Dataverse to manage customer accounts and related transaction records.
The company requires the following functionality:
Reference a single related record without performing any aggregations.
Store the relationship as part of the table definition, so the platform automatically maintains the link between records.
You need to configure a column.
Which type of column should you configure?
Answer: A
Explanation:
A Lookup column is designed to reference one row in another Dataverse table. The selected related row's identifier is stored as part of the relationship, and Dataverse maintains the association so forms, views, queries, and security behaviors can work with it consistently. The requirement explicitly excludes aggregation, which rules out a Rollup column; rollups calculate values such as sum, count, minimum, maximum, or average over related rows. A Calculated column evaluates an expression from other values, while a Formula column uses Power Fx to derive a result. Neither is the correct structural mechanism for selecting and maintaining a single related account or transaction row. The lookup's relationship should be configured with the appropriate required level, cascade behavior, and delete rule so it matches the record lifecycle. This is not merely a display field: it is a schema-level relationship component. The AB-410 Study Guide lists "create and modify columns" and "configure table relationships" under Build data models. A Lookup column is therefore the only option that natively represents the required one-record association.
Study Guide reference/topic: "Build data models - Create and modify columns." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 54
A company deploys a model-driven app to multiple departments.
The company requires the following app functionality:
# Enable users to open the app.
# Determine why users cannot access the app.
You need to configure app access.
Which actions should you perform? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Enable users to open the app - Share the app and assign appropriate security roles; Diagnose access - Run the App access checker
To enable users to open the model-driven app, the maker must share the app with the appropriate security roles and ensure users are assigned those roles. App visibility alone is not sufficient if the role lacks privileges to required Dataverse tables, but role-based sharing is the central app-access control. When a particular user still cannot open the app, the App access checker is the targeted diagnostic. It evaluates the user's app sharing, security roles, licensing, and related configuration and reports the access path or missing requirement. The solution checker reviews solution quality and component issues; it does not diagnose a user's effective app entitlement. Reviewing table permissions manually can be useful after a specific role problem is identified, but it is not the broad first diagnostic represented in the answer area. The checker should be run against the affected user identity and the exact app. This maps directly to the Study Guide objectives "configure access to model-driven apps" and "configure security." The two actions establish access and then provide a supported way to determine why effective access differs from the intended configuration.
Study Guide reference/topic: "Create model-driven apps - Configure access to model-driven apps." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 55
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.
Answer: B,E
Explanation:
The two actions required to configure the flow for extracting information from order form PDFs are:
Add the Process documents action
Specify the model, document type, and document
Add the Process documents action: In Microsoft Power Automate AI Builder, the specific action designed to analyze and extract information from layout-heavy structures like PDFs, invoices, or order forms is called Process documents (historically named Extract information from documents).
Specify the model, document type, and document: When configuring the Process documents action, you must explicitly select your custom or prebuilt document processing model, define the document type (e.g., fixed-template or general document), and pass the file content parameter (the incoming email attachment document).
Reference:
https://learn.microsoft.com/en-us/ai-builder/prebuilt-entity-extraction-pwr-automate
NEW QUESTION # 56
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 # 57
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