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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build business application logic and automation | 40-45% | - Business logic
|
| Topic 2: Create intelligent applications | 25-30% | - Create model-driven apps
|
| Topic 3: Create a foundation for intelligent applications | 25-30% | - Build data models in Dataverse
|
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NEW QUESTION # 16
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,B
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 # 17
A company plans to implement an automated process to retrieve and analyze customer feedback.
The company requires a solution that:
- Autonomously analyzes feedback.
- Stores results for reporting.
- Triggers an escalation for negative sentiment.
You need to design the solution.
Which three components should you use? Each correct answer presents part of the solution.
(Choose three.)
NOTE: Each correct selection is worth one point.
Answer: A,B,E
Explanation:
To automate this customer feedback workflow, you must implement the following three components:
[A]
AI Builder (Sentiment Analysis Model)
Purpose: Autonomously analyzes customer feedback.
Function: Evaluates text natively within the Power Platform.
Action: Classifies feedback sentiment as positive, negative, or neutral without manual coding.
[B]
Power Automate (Cloud Flows)
Purpose: Orchestrates the entire automated workflow.
Function: Triggers when new feedback arrives (e.g., via email, forms, or social media).
Action: Passes text to AI, routes data to storage, and executes conditional logic for escalations.
[E]
Microsoft Dataverse
Purpose: Stores results for reporting and triggers downstream actions.
Function: Acts as the secure, relational data platform for the project.
Action: Holds the feedback text, sentiment scores, and historical data for Power BI reporting.
Reference:
https://learn.microsoft.com/en-us/ai-builder/flow-sentiment-analysis
NEW QUESTION # 18
You are troubleshooting multiple production Power Automate cloud flows for a company.
The cloud flows connect to Microsoft Dataverse by using Microsoft Entra ID authentication.
You analyze the following issues:
- A flow that has not executed for more than 90 days fails when performing actions that rely on an existing connection configuration.
- A flow fails for records containing incomplete data.
You need to resolve the cloud flow failures.
Which actions should you perform? You may use each action once, more than once, or not at all.
Exhibit:
Answer:
Explanation:
Explanation:
Existing connection failure - Reauthenticate the connection; Incomplete data - Add input validation or condition checks.
Microsoft Power Automate connections authenticate cloud flow actions against external services through configured credentials and authorization tokens. Connections using Microsoft Entra ID authentication can fail when refresh tokens expire after extended inactivity, including approximately 90 days without use.
Reauthenticating the connection restores the necessary authorization and enables subsequent actions to communicate with the service. The second issue concerns records containing incomplete information. Missing or null values can cause expressions, data operations, or required field updates to fail. Adding input validation or conditional checks allows the flow to identify missing information before executing dependent actions.
Developers can use Condition controls, empty() expressions, and appropriately configured branches to handle incomplete records. Retry policies primarily address transient failures, while concurrency settings control simultaneous execution. These configurations improve reliability and provide more predictable failure handling.
NEW QUESTION # 19
You are building a model-driven app that uses a Microsoft Dataverse table named Accounts. Sales representatives use the app to manage customer records.
Sales representatives report that too many records are displayed, including inactive and unrelated accounts where the sales representative isn't the record owner.
You need to ensure only relevant records are displayed for the users.
What are two ways to complete the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
Answer: D,E
Explanation:
Security-role-based view access and view filters address different parts of the record-display problem. A view filter constrains the rows returned-for example, Status equals Active and Owner equals Current User-so inactive or unrelated accounts do not appear. Security roles can restrict which public views are available to particular audiences, preventing users from selecting a broader view that was not designed for them. Defining view columns only changes which fields are shown; it does not reduce the number of records. App settings do not provide the row-specific query criteria. Configuring a status column supplies data that a filter can test but does not itself filter the view. Dataverse row-level privileges remain the security boundary: a filtered view improves relevance but should not be treated as protection against access through another query or API. The role should therefore also implement the intended record access depth. The AB-410 Study Guide covers
"create and configure views," "configure access to forms and views," and "configure security." Options C and E combine audience-appropriate view availability with the query criteria needed to show the relevant records.
Study Guide reference/topic: "Create model-driven apps - Create and configure views." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 20
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 # 21
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