Each format specializes in a specific study style and offers unique benefits, each of which is crucial to good Building Intelligent Applications (AB-410) exam preparation. The specs of each Microsoft AB-410 Exam Questions format are listed below, you may select any of them as per your requirements.
| Section | Objectives |
|---|---|
| Implement automation and orchestration | - Process automation
|
| Embed agents and AI experiences | - Agent integration
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
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NEW QUESTION # 81
This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result these questions will not appear in the review screen.
You administer the Microsoft 365 and Microsoft Power Platform environments for Contoso, Ltd. The company has a model-driven app that is used to track customer interactions with employees. The app uses standard table types for customers. A user named Elisabeth Rice signs in to the app by using the following sign in name: Elisabeth.Rice@contoso.com. After marriage, Elisabeth changes her legal name to Elisabeth Mueller.
You need to update the sign in name for the user without losing any application history.
Solution: Ask the Microsoft 365 administrator to sign in to the admin portal and change the user name.
Does the solution meet the goal?
Answer: A
Explanation:
The Microsoft 365 administrator should change the user's sign-in name in the Microsoft 365 or Microsoft Entra administration plane. Dataverse user records are synchronized from the tenant identity, so the authoritative user principal name must be updated at its source. The existing identity object remains the same, preserving its directory object identifier and the corresponding Dataverse system-user relationship.
Consequently, record ownership, activity history, audit associations, and security-role assignments are not replaced simply because the sign-in name changes. Administrators should allow synchronization to complete and then verify the updated username and mailbox information in the Power Platform environment. Creating a new user would risk separating the historical record from the new identity and would require reassignment work. The scenario asks for a name change without losing application history, which is precisely why the existing directory account must be modified instead of replacing the Dataverse user. This aligns with the Study Guide's security and identity collaboration expectations and its "configure security" objective for Dataverse-backed applications. The proposed Microsoft 365 administrator action therefore meets the goal.
Study Guide reference/topic: "Build data models - Configure security." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 82
A company runs Power Automate cloud flows in production.
You observe many duplicate executions and 401 error codes when you review the flow runs.
You need to resolve the errors.
How should you address each error? To answer, select the appropriate options in the answer area. NOTE:
Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
401 errors - Reauthenticate connection; Duplicate executions - Enable concurrency control
A 401 response indicates that the connector call is unauthorized, commonly because a connection token expired, credentials changed, consent was revoked, or the connection reference points to an invalid connection. Reauthenticating the connection renews the credential context and is the direct corrective action.
Increasing timeout or changing retry policy cannot convert an unauthorized request into an authorized one.
Duplicate executions require control over simultaneous flow runs. Enabling trigger concurrency control and setting an appropriate degree of parallelism prevents overlapping instances from processing the same event at the same time. The maker should also examine trigger conditions, polling behavior, and idempotency keys, because concurrency control alone cannot correct every duplicate-trigger design. Adding a delay merely shifts execution time, and retry policy addresses transient action failures rather than independent duplicate runs.
After correcting both issues, failed runs should be resubmitted only where the actions are safe to repeat. The Study Guide includes "test and troubleshoot cloud flows." The mappings target the actual failure classes:
restore authentication for 401 errors and govern parallel runs for duplicate execution.
Study Guide reference/topic: "Create cloud flows - Test and troubleshoot cloud flows." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 83
You need to implement a generative AI solution that meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
The solution should use a prebuilt AI capability where it satisfies the complaint-processing requirement and create the generative prompt from blank for the organization-specific inspection report. Using a prebuilt model minimizes custom model development and training effort, which directly reflects the stated constraint.
A blank custom prompt gives the maker control over the inspection template, instructions, inputs, tone, and output format required by the business. Starting from a prompt template can accelerate common scenarios, but the case requires alignment to an existing custom inspection format; a blank prompt avoids carrying irrelevant template assumptions and permits deliberate grounding. Building a custom trained model would add data preparation, training, validation, and lifecycle overhead that the requirement seeks to minimize. The prompt should define required inputs explicitly and be tested with representative data to prevent the inconsistent output problem identified in the case. The Study Guide covers "build prompts from templates or from blank,"
"add inputs to a prompt," and consumption of AI capabilities in apps and flows. Options A and C provide the lowest-custom-development design that still supports the specific generative output.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts and consume AI capabilities." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 84
An accounting team is assigned to a model-driven app to manage financial data.
The app is currently visible in the app launcher but inaccessible to the accounting team.
Users must be able to:
- Open the app.
- Access and record financial data.
You need to resolve the access issues.
What should you do?
Answer: B
NEW QUESTION # 85
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 resolve the issues with the canvas apps.
Which two configurations should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,E
Explanation:
Scenario: Duplicate logic exists across multiple canvas apps.
The two features that can be used to remedy the problem of duplicate logic existing across multiple canvas apps are component library and User defined function.
Component library: This feature allows you to build reusable canvas components (containing both visual elements and custom properties with calculation or behavioral logic) and host them centrally. Multiple canvas apps can then import these components from the library, providing a single source of truth that simplifies maintenance across your entire app ecosystem.
User defined function (UDF): This Power Fx feature enables you to write a custom formula once, complete with input parameters and an output data type. By packaging this pure behavioral or calculation logic into an enhanced component property within a component library, the custom function can be called globally across multiple apps Reference:
https://learn.microsoft.com/en-us/power-apps/maker/canvas-apps/working-with-large-apps
NEW QUESTION # 86
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