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| Section | Weight | Objectives |
|---|---|---|
| Build business application logic and automation | 40-45% | - Business logic
|
| Create intelligent applications | 25-30% | - Create model-driven apps
|
| Create a foundation for intelligent applications | 25-30% | - Design Microsoft Power Platform solutions using AI-enabled tools
|
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NEW QUESTION # 26
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 # 27
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: B
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 # 28
Maintenance metrics are not consistently calculated across related rows.
You need to provide a solution for field technicians to create custom inspection reports natively within the new app.
What should you do?
Answer: B
Explanation:
A custom prompt is the native low-code mechanism for generating an inspection report from current app data while following the company's existing template instructions. The maker can define inputs for the inspection fields, specify required sections, tone, order, and formatting, and invoke the prompt from the new app. This keeps the report-generation experience within Power Platform and minimizes custom AI development. A paginated report is well suited to deterministic, pixel-precise reporting, but it does not perform the requested generative composition and generally presents a separate reporting artifact. A Word template performs deterministic field substitution and is useful when no generative rewriting is required; it does not supply the AI-driven custom narrative described in the case. The prompt should be grounded only with approved inspection data, tested for missing inputs, and reviewed for output consistency before production use. The Study Guide covers "build prompts," "add inputs to a prompt," and "consume a prompt in apps." Option C is therefore the component that directly implements native generative inspection-report creation.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume a prompt in apps." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 29
Hotspot Question
A remote Power Apps user experiences an issue with a canvas app. The issue cannot be reproduced locally.
You must analyze the issue in near real-time. Session data must be available for later review.
You need to troubleshoot the canvas app by using Monitor.
How should you troubleshoot the app? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Use the Connect user feature
To capture a remote user's canvas app session in near real-time, use the Connect user feature in Power Apps Live monitor overview Collaborative troubleshooting using Live monitor. This allows you to generate a secure join link for the user, intercepting their specific actions as they happen Collaborative troubleshooting using Live monitor.
Box 2: Download the Monitor session file
To share a troubleshooting session for later review using Power Apps Monitor, you must use the Connect user feature to capture the remote session, and then click Download to save the session log as a JSON file. This downloaded file can then be shared and uploaded into Monitor by another team member at any time for offline analysis.
Reference:
https://learn.microsoft.com/en-us/power-apps/mobile/powerapps-mobile-troubleshoot
NEW QUESTION # 30
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: A
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 # 31
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