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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build business application logic and automation | 40-45% | - Create cloud flows
|
| Topic 2: Create intelligent applications | 25-30% | - Create canvas apps
|
| Topic 3: Create a foundation for intelligent applications | 25-30% | - Build data models in Dataverse
|
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NEW QUESTION # 52
Fabrikam Inc. develops Power Platform applications directly in its production environment. The company has no structured application lifecycle management (ALM) process, and solutions are not consistently used to package or deploy components.
The company has the following requirements:
- Separate environments must be used for development, testing, and production.
- Solutions must be segmented by functional areas.
- Managed solutions must be deployed to production.
- Changes must be validated before production deployment.
You need to meet the ALM requirements.
What should you do?
Answer: D
Explanation:
Multiple unmanaged solutions enable Fabrikam Inc. to organize Power Platform application components according to their functional responsibilities during development. Each solution can contain the Dataverse tables, Power Apps applications, Power Automate flows, and related components required by a particular business function. This structure supports modular development, controlled packaging, independent testing, and maintainable application lifecycle management. Development occurs in unmanaged solutions because makers must be able to modify components. Following testing and validation, these solutions can be exported as managed solutions for deployment to downstream environments, including production. A single unmanaged solution does not satisfy the requirement for functional segmentation. The Configuration Migration Tool transfers selected data rather than packaging application components. Microsoft recommends planning solution dependencies carefully and using managed solutions outside development environments to maintain reliable deployment governance.
Topic 1, 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.
NEW QUESTION # 53
A company is using Microsoft Dataverse.
You must integrate Dataverse with a third-party AI service. The solution requires authentication and custom request handling to send and receive data.
You need to enable the integration.
What should you do?
Answer: D
Explanation:
Microsoft Power Platform custom connectors enable applications and automated workflows to communicate with external REST APIs that are not available through standard connectors. A custom connector defines the external service endpoint, authentication mechanism, supported operations, request parameters, and response structures. For a third-party AI service, developers can configure authentication using supported methods such as API keys or OAuth 2.0, depending on the service. Custom connector actions can then be used by Power Apps and Power Automate to submit information and process generated responses. This provides a reusable integration mechanism and reduces the need to duplicate HTTP request logic across applications. Classic workflows do not provide the same general-purpose API integration capabilities. Power Fx supplies application formulas, while dataflows primarily support data ingestion and transformation. Custom connectors therefore provide the appropriate integration architecture.
NEW QUESTION # 54
A company requires configuration of an automated process.
The process must run synchronously in response to a row change in Microsoft Dataverse.
You need to recommend components to implement the requirement.
Which pair of approaches should you recommend? Each approach must provide a solution for the requirement.
Answer: B
Explanation:
Microsoft Dataverse supports synchronous business logic through real-time workflows and plug-in execution.
A real-time workflow runs immediately within the Dataverse operation, allowing business logic to execute in response to supported events such as record creation or modification. An automated low-code plug-in can also respond to Dataverse table events and execute Power Fx logic within the server-side processing pipeline. Low- code plug-ins support pre-operation and post-operation stages, allowing developers to implement validation or data processing close to the underlying transaction. Unlike these approaches, automated cloud flows generally execute asynchronously after the triggering event. Instant cloud flows require explicit invocation and do not automatically respond to every Dataverse row change. Business rules provide supported validation and value- setting behavior but are not general-purpose substitutes for synchronous workflows or plug-ins.
NEW QUESTION # 55
You need to configure the generative AI reusability requirements.
What should you do?
Answer: A
Explanation:
Calling the prompt from a Power Automate cloud flow provides a reusable service-level entry point that can be invoked by different Power Platform experiences. The flow can accept parameters from each caller, pass those values into the prompt, and then route the generated result to an app, Dataverse, email, or another process. This addresses reuse more effectively than binding the prompt directly to one canvas app. An input variable is necessary for dynamic data, but by itself it does not establish cross-service orchestration; the flow exposes and manages those inputs for multiple callers. Returning JSON can standardize output handling but does not make the prompt reusable by itself. Direct canvas-app invocation is valid for an app-only requirement, not for the stated need to span Power Platform services. The flow should define explicit input types and validate required values so the case's inconsistent-input problem is not repeated. The AB-410 Study Guide lists both "add inputs to a prompt" and "consume a prompt in cloud flows." Option B provides the reusable execution layer while allowing dynamic values to be supplied at runtime.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume a prompt in cloud flows." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 56
Note: 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: From Dynamics 365 Settings, select Email Configuration. In the active mailbox for the user, update the name .
Does the solution meet the goal?
Answer: B
Explanation:
Updating the active mailbox name under Dynamics 365 email configuration does not change the user's sign- in name. A mailbox row stores email-processing configuration associated with a user or queue; it is not the authority for Microsoft 365 credentials or the Microsoft Entra user principal name. Changing mailbox details would therefore leave Elisabeth.Rice@contoso.com as the actual identity used for authentication and would not satisfy the legal-name sign-in requirement. The existing Microsoft 365 account must be renamed by an identity administrator so the same directory object is preserved. Dataverse can then synchronize the updated identity while retaining row ownership, security associations, and historical activities. Mailbox settings may need review afterward if the primary SMTP address changes, but that is a follow-up configuration rather than the identity change itself. The Study Guide's audience profile explicitly describes collaboration with environment and security administrators for identity and authentication, and "configure security" remains part of Build data models. Since the proposed mailbox-only change acts on the wrong component, the correct answer is No.
Study Guide reference/topic: "Build data models - Configure security." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 57
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