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| Section | Objectives |
|---|---|
| Topic 1: Implement automation and orchestration | - Process automation
|
| Topic 2: Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Topic 3: Build intelligent applications on Microsoft Power Platform | - Application development
|
| Topic 4: Governance and application lifecycle management | - Responsible AI and ALM
|
| Topic 5: Embed agents and AI experiences | - Agent integration
|
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NEW QUESTION # 36
An organization deploys an AI application handling customer information. The company must ensure transparency regarding AI-generated decisions and provide explanations to users. Which responsible AI principle applies?
Answer: D
Explanation:
Transparency is a responsible AI principle focused on explaining how AI systems operate and how decisions are produced. Users should understand when AI is involved and receive appropriate information about outcomes. Hardware optimization and compression improve technical performance but do not address ethical requirements or user understanding.
NEW QUESTION # 37
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Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.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 implement the extensibility requirements.
Which two options should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
Scenario:
Extensibility
Custom UI form components must be reusable across applications.
Use of server-side custom code must be minimized where possible.
The two features that could be used to meet both requirements are Business rule and Power Apps component framework control.
Business rule: This feature directly aligns with the requirement to minimize server-side custom code. Business rules provide a completely no-code/low-code graphical interface to handle form logic, such as setting column values, showing/hiding fields, and validating data without writing custom scripts or plugins.
Power Apps component framework control (PCF control): This feature directly addresses the requirement for custom UI form components that must be reusable across applications.
Professional developers can create advanced visual UI components (such as sliders, dials, or custom interactive forms) and package them so they can be easily reused multiple times across canvas apps, model-driven apps, and different tables/forms.
Reference:
https://learn.microsoft.com/en-us/power-apps/developer/component-framework/overview
NEW QUESTION # 38
A company is building a canvas app that spans multiple screens.
The app must store selected values across screens and hold tabular data during a session.
You need to manage application state.
Which two components should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Use the following data storage and state management tools:
For Tabular Data: Use Collections. They hold rows and columns of data, persist across multiple screens, and are perfect for storing temporary data during a session before saving them permanently. You can create and populate one using the ClearCollect() function.
For Selected Values Across Screens: Use Global Variables or pass parameters directly in your Navigate() function. Use Set() for app-wide values, like an item ID or the current user.
Incorrect:
[Not B]
Context variables are tied to a single screen and are primarily meant for simple text, numbers, or toggling pop-ups. They cannot hold whole tables.
Reference:
https://dev.to/mattbuildsapps/power-apps-variables-explained-global-vs-context-vs-collections-4l9n
NEW QUESTION # 39
A company uses Microsoft Dataverse to store customer records on the Account table. A business process flow is configured for the table.
The company requires a Power Automate cloud flow that validates and corrects the format of the customer account number. The Power Automate flow must run whenever data in this field changes.
You need to recommend a trigger for the cloud flow.
Which trigger should you recommend?
Answer: B
Explanation:
The cloud flow trigger should fire when a row is modified, specifically targeted to the Account table, with the "Select columns" (column filter) parameter set to the logical name of the customer account number column.
Correct Trigger Configuration
Connector: Microsoft Dataverse
Trigger: When a row is added, modified or deleted
Change type: Modified (or Added or Modified if you also need to check the format upon record creation) Table name: Accounts Reference:
https://learn.microsoft.com/en-us/power-automate/dataverse/overview
NEW QUESTION # 40
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?
Answer: B
Explanation:
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
NEW QUESTION # 41
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