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| Section | Objectives |
|---|---|
| Topic 1: Governance and application lifecycle management | - Responsible AI and ALM
|
| Topic 2: Embed agents and AI experiences | - Agent integration
|
| Topic 3: Implement automation and orchestration | - Process automation
|
| 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 # 98
A company is building a Microsoft Power Platform solution that requires integration with external AI services and the enforcement of internal business rules within Microsoft Dataverse.
The company requires the solution to provide the following functionality:
- Call an external REST API from a background automation.
- Execute server-side validation logic.
You need to add extensibility components.
Which components should you use?
Exhibit:
Answer:
Explanation:
Explanation:
External REST API - Custom connector; Server-side validation - Dataverse plug-in.
Microsoft Power Platform provides extensibility mechanisms for integrating external services and enforcing business logic. Custom connectors allow developers to define reusable connections to REST APIs that are not available through standard connectors. They support authentication, API operations, request parameters, and response handling, enabling Power Automate cloud flows to communicate with external AI services. For server-side validation, Microsoft Dataverse plug-ins provide programmable business logic that executes within the Dataverse event-processing pipeline. Plug-ins can run synchronously during operations such as Create and Update, allowing developers to validate information and reject transactions that violate business requirements. Unlike client-side form scripts, server-side plug-ins can enforce validation across supported Dataverse operations regardless of the application or integration initiating the request. Combining custom connectors and plug-ins provides a reusable integration architecture and consistent transactional data validation.
NEW QUESTION # 99
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.
Drag and Drop Question
You need to create the new app based on the requirements.
Which configurations should you use? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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.
Answer:
Explanation:
Explanation:
Box 1: Context variable
The new app for the field technicians requires the name of the technician to be persisted on the home screen only.
The correct feature for this requirement is a Context variable.
Screen-Level Scope: Context variables in Power Apps are explicitly designed to hold a temporary state or value that only matters on the current screen.
Isolated Data: Because the requirement explicitly states that the technician's name only needs to be persisted on the home screen only, using a local/context variable ensures the data is isolated and does not occupy unnecessary memory across other pages or screens.
Box 2: Collection
Work orders must be displayed within a gallery.
The correct feature useful for this requirement is a Collection.
Tabular Data Storage: A collection is a specialized local variable in Power Apps explicitly designed to store multi-column data tables, arrays, or groups of records locally.
Gallery Integration: The primary purpose of a Gallery control is to display a list or table of multiple records. Setting the Items property of a gallery directly to a Collection (e.g., ClearCollect(colWorkOrders, WorkOrdersDataSource)) allows you to loop through, manipulate, and cleanly render each work order record.
Box 3: Named formula
Define logic statements.
When writing Power Fx logic inside a model-driven app (such as for Dataverse formula columns or modern commanding), the platform heavily relies on declarative, excel-like calculations.
Named formulas allow developers to define logic statements that automatically recalculate based on their dependencies, without needing manual variable management. They improve app efficiency by calculating values only when they are needed.
Scenario:
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.
Reference:
https://chrisworth.dev/posts/power-apps-variables-mastery-guide/
NEW QUESTION # 100
A company is building prompts in Microsoft Copilot Studio to support multiple customer service scenarios.
The company requires prompts to:
# Follow a consistent structure across use cases.
# Be reusable across multiple topics.
# Allow customization for different types of customer requests.
You need to build the prompts.
What should you do?
Answer: D
Explanation:
The maker should select an appropriate template from the prompt library and customize it for each scenario.
Templates provide a consistent starting structure and established prompt pattern while still allowing the instructions, inputs, grounding, and expected output to be adapted to a particular customer request. This balances standardization with scenario-level variation. Model settings influence behavior such as creativity or moderation, but they do not create a reusable prompt structure. Storing prompt text in ordinary topic variables duplicates unmanaged text and does not provide a governed prompt component with its own inputs and lifecycle. Creating unrelated prompts directly inside every topic would repeat structure and make maintenance inconsistent. Customized prompt components should be named clearly, added to solutions, tested against representative inputs, and versioned through ALM. Shared instructions can be kept consistent while scenario- specific requirements remain explicit. The AB-410 Study Guide contains the exact objective "build prompts from templates or from blank." Option D uses the template path for consistency and then applies the customization required for multiple service scenarios.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts from templates." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 101
Contoso Ltd. is configuring a Maintenance Request Approval workflow in Power Automate.
The workflow must request approval from all managers. Approval must not be granted if any manager rejects the request. The result must be sent to the initial reviewer by email, with the subject indicating Approve or Reject.
A developer names the Start and wait for an approval step `Approve` and the Send an email notification (V3) step `Email`.
How should the developer configure the Power Automate cloud flow steps?
Exhibit:
Answer:
Explanation:
Explanation:
Approval type - Approve/Reject: Everyone must approve; Assigned to - List of email addresses; Email Subject - `last(outputs( ' Approve ' )?[ ' body/responses ' ])?[ ' approverResponse ' ]` Power Automate supports approval workflows involving multiple approvers through the Start and wait for an approval action. The Approve/Reject: Everyone must approve option requires unanimous approval before the request is accepted. If any approver rejects the request, the approval action can complete with a rejected outcome without waiting for all remaining approvals. The Assigned to field should contain the individual managers ' email addresses, allowing the approval service to send requests to each designated participant. The approval action returns response information that can be referenced in subsequent workflow expressions. The specified expression retrieves the final available individual approval response and can produce an Approve or Reject value for the email subject. For robust implementations, Microsoft also provides the approval Outcome output, which should be preferred when evaluating the overall approval decision.
NEW QUESTION # 102
A company uses Power Apps.
Users must be able to view only the address1 columns in the Account table.
You need to ensure other address columns are not visible to users when creating views and filters.
What should you do?
Answer: D
Explanation:
Using column-level security to remove read access is the correct and most appropriate approach.
In Microsoft Dataverse, column-level security (CLS) applies a restrictive model organization-wide.
Once you enable column security on a column, all users automatically lose read, create, and write access to that column by default. Because the underlying data engine strictly blocks unauthorized access, these columns are automatically hidden from forms, system views, personal views, and filter dropdowns. This safely prevents users from adding restricted columns when they try to build their own custom views or query filters.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/create-edit-field-solution-explorer
NEW QUESTION # 103
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