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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create a foundation for intelligent applications | 25-30% | - Build data models in Dataverse
|
| Topic 2: Create intelligent applications | 25-30% | - Create canvas apps
|
| Topic 3: Build business application logic and automation | 40-45% | - Business logic
|
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NEW QUESTION # 95
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:
Monitor remote execution - Use the Connect user feature; Retain session for review - Download the Monitor session file
The maker should use Monitor's Connect user feature to observe events from the remote user's live app session. The user opens the supplied connection, runs the problematic scenario, and Monitor streams network calls, formula evaluations, errors, and other diagnostics to the maker in near real time. This is preferable to attempting to reproduce a device- or account-specific issue locally. To retain evidence for later review or escalation, the maker downloads the Monitor session file. The file can be reopened and analyzed without requiring the user to repeat the failure. Test Studio automates test cases but does not attach to a remote interactive session. The App access checker diagnoses model-driven app entitlement rather than canvas-app runtime behavior. Application Insights can provide broader telemetry where instrumented, but it is not the required Monitor-session workflow in the answer area. Sensitive data visible in events should be handled according to organizational policy. The Study Guide explicitly lists "test canvas apps, including using Monitor." Connect user plus session download covers the live and retained-analysis requirements respectively.
Study Guide reference/topic: "Create canvas apps - Test canvas apps, including using Monitor." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 96
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: A
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 # 97
You are configuring a dashboard in a model-driven app for sales managers. The dashboard displays opportunity pipeline data from the Opportunities table.
The company requires the following functionality:
# Show how each sales stage contributes to the total pipeline for each sales region.
# Ensure a newly created chart is available to users in the app.
# Use the My Open Opportunities dataset when the dashboard component loads.
# Prevent users from switching to a different chart at runtime.
You need to create and configure the chart and dashboard component.
How should you configure the requirements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Regional contribution - Stacked column chart; Publish chart in app - Select the chart for the table in app designer; Initial dataset - Set the Default View; Prevent chart switching - Clear Display Chart Selection
A stacked column chart is appropriate because each regional column can display the sales-stage segments that compose the region's total pipeline, making both overall magnitude and stage contribution visible. A standard column chart would compare separate values but would not show composition in the same bar, while a pie chart does not compare multiple regional totals effectively. The chart must be selected for the Opportunities table in the app designer so it becomes part of the model-driven app package available to users. The dashboard component's Default View should be set to My Open Opportunities so that dataset loads initially.
To prevent runtime chart switching, Display Chart Selection must be cleared; otherwise users can choose another available chart. "Default Chart" determines which chart opens first but does not prevent selection of others. The maker should verify that the chosen view and chart are shared through the app and that users have privileges to the underlying opportunity records. The Study Guide explicitly covers "create and configure model-driven app charts and dashboards." These four settings govern visualization type, app inclusion, initial data context, and runtime choice independently.
Study Guide reference/topic: "Create model-driven apps - Create and configure charts and dashboards." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 98
Fabrikam Inc. uses Microsoft Power Platform for asset maintenance and technician workflows. The company plans to introduce generative AI capabilities.
The company requires a generative AI solution to generate responses to customer complaints based on emails received in a mailbox. The responses must be generated within applications, and custom AI development must be minimized.
You need to generate the customer complaint response based on Fabrikam Inc. ' s requirements.
Which action should you use?
Answer: B
Explanation:
The Run a prompt action enables Power Automate to execute generative AI instructions and produce contextual text using AI Builder. In this scenario, an automated cloud flow can monitor an email mailbox, retrieve an incoming customer complaint, and pass its content into a predefined prompt. The prompt can specify response requirements, including professional tone, structure, relevant customer information, and instructions for addressing the complaint. Its generated output can then be processed by subsequent workflow actions, such as creating an email draft or requesting human approval. This approach minimizes custom AI development because makers configure reusable prompts instead of training custom machine learning models.
Populating a Word template primarily generates documents, while document-processing actions extract information rather than compose contextual responses. Microsoft documentation identifies Run a prompt as the supported action for executing AI Builder prompts in Power Automate.
NEW QUESTION # 99
You need to set up the capability to view the change history for the food type and amount. What should you set up? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Feature: Audit changes to its data. Table: Resident.
Food type and amount are columns on the Resident table, so Dataverse auditing must be enabled for that table and for the two relevant columns. The Audit changes to its data setting records create, update, and delete events and captures the user and time associated with audited changes. This directly supports the requirement to identify who changed the values during the preceding three months. The audit-retention policy should therefore retain records for at least that period. The Feeding table is not the correct target because the scenario explicitly states that food type and amount are stored on each Resident row. A timeline displays activities and notes but does not automatically provide field-level before-and-after history. Audit user access records access events and is not a substitute for auditing data changes. Environment-level auditing must also be enabled before table and column auditing produces history. Microsoft documents that audited changes can be retrieved with Changed By and Created On information, allowing authorized staff to determine who made each modification and when it occurred.
Reference: https://learn.microsoft.com/en-us/power-apps/developer/data-platform/auditing/retrieve-audit-data Study Guide alignment: Create a foundation for intelligent applications.
NEW QUESTION # 100
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