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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Enhance solutions with AI and automation | 22% | - Build automation with Power Automate
|
| Topic 2: Extend and secure intelligent solutions | 20% | - Secure access and data
|
| Topic 3: Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
| Topic 4: Build intelligent apps with Copilot and agents | 30% | - Create and manage agents with Copilot Studio
|
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NEW QUESTION # 39
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: B,C,D
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 # 40
A company uses Dataverse to configure derived values for sales records.
The company requires the following functionality:
# Evaluate an expression by using numerical columns in the same row.
# Calculate the result dynamically when accessed.
# Ensure the result is NOT stored as part of the table data.
The solution must minimize use of custom code.
You need to configure the app.
What should you do?
Answer: A
Explanation:
A formula column is designed for a dynamically derived value based on columns in the same Dataverse row.
The maker defines a Power Fx expression using the numerical source columns, and Dataverse exposes the result as a read-only calculated value when it is requested. The formula definition is maintained rather than a manually populated result column, so the application does not need a background job to keep the value synchronized. A real-time workflow or business rule would write a value into stored data and would have to run again whenever an input changes. A plug-in can calculate a value during a transaction or retrieval, but it introduces custom server-side code and deployment overhead that the requirement specifically asks to minimize. The formula must use supported data types and functions, and makers should consider precision, blank values, and division-by-zero behavior. Microsoft's formula-column documentation describes these columns as displaying calculated Dataverse values through Power Fx. The Study Guide includes "configure calculated, rollup, and formula columns." Option A is therefore the native low-code choice for the same-row dynamic calculation.
Study Guide reference/topic: "Implement business and process logic - Configure formula columns." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 41
Drag and Drop Question
A company is designing a model-driven app for customer service representatives.
The app must:
- Organize navigation into logical groupings based on business
processes.
- Ensure only required data is included in the app navigation.
You need to configure navigation and table availability.
Which actions should you perform? To answer, move the appropriate actions to the correct requirements. You may use each action 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: Customize the site map
To organize navigation into logical groupings based on business processes in a model-driven app, you must configure the App's Sitemap by adding Areas, Groups, and Subareas.
Box 2: Add tables to app designer
App Designer Includes Data: Adding tables directly to the app designer makes them part of the app's underlying data model and security scope, but it does not automatically place them in the navigation menu.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/create-site-map-app
NEW QUESTION # 42
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?
Answer: C
Explanation:
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
NEW QUESTION # 43
A development team wants to improve an AI application's responses by providing specific instructions about tone, role, and expected behavior. Which prompt component should be used?
Answer: D
Explanation:
System messages define the behavior, role, and constraints of an AI assistant. They establish high-level instructions that guide model responses throughout conversations. Database indexes and storage resources manage information access but do not directly control model behavior.
Network routes only affect communication paths.
NEW QUESTION # 44
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