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| Section | Objectives |
|---|---|
| Topic 1: Embed agents and AI experiences | - Agent integration
|
| Topic 2: Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Topic 3: Implement automation and orchestration | - Process automation
|
| Topic 4: Build intelligent applications on Microsoft Power Platform | - Application development
|
| Topic 5: Governance and application lifecycle management | - Responsible AI and ALM
|
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NEW QUESTION # 65
A company is updating a Power Apps solution that contains two tables named Services and Equipment.
The company is creating a new solution to update the current solution with the following requirements:
- The Services table must be updated to include change tracking.
- The Equipment table must be updated to include four new columns.
- The solution must update only the components that need to be added or changed.
You need to create the solution.
Which table option should you use for each table?
Exhibit:
Answer:
Explanation:
Explanation:
Services - Include table metadata; Equipment - Select components.
Dataverse solution segmentation allows developers to package only the table metadata and components necessary for a particular deployment. The Services requirement involves enabling change tracking, which is a table-level metadata setting. Therefore, Include table metadata is appropriate because the solution must carry the updated table configuration. The Equipment requirement involves adding four columns without unnecessarily redeploying existing table objects. Select components allows developers to include those specific columns while excluding unrelated forms, views, and other assets. Include all components would unnecessarily increase the solution ' s scope and potentially introduce unwanted solution layers. Microsoft recommends segmented solutions to reduce deployment complexity and prevent unintended effects on existing customizations. This approach supports controlled application lifecycle management, smaller deployment packages, and more precise component updates across development, testing, and production environments.
NEW QUESTION # 66
A company is deploying multiple Al-enabled Power Platform solutions across teams. Company administrators have the following requirements:
* Administrators require centralized insights and governance.
* Solutions must follow automated lifecycle practices without reliance on external tooling.
* Existing and new environments must enforce governance policies.
You need to recommend an environment type that meets the requirements. What environment type should you recommend?
Answer: D
Explanation:
A Managed Environment adds centralized governance and operational capabilities to a standard Power Platform environment. It is the environment type intended for administrators who need organization-wide visibility, governed settings, and platform-native application lifecycle features. Managed Environments can participate in Power Platform pipelines, apply environment groups and rules, surface usage insights, and enforce governance consistently across existing and newly managed environments. A Developer environment is a personal build space and is not the correct production governance boundary. A Sandbox supports testing and administrative reset or copy operations but does not, by itself, deliver the full managed-governance feature set. A Production environment is suitable for live workloads, yet it must be enabled as a Managed Environment to meet the stated centralized controls. The terms are not mutually exclusive in every administrative screen-a production or sandbox environment can be managed-but among the given environment-type choices, Managed is the intended answer. Microsoft documents Managed Environments as the governance layer for administering Power Platform at scale.
Reference: https://learn.microsoft.com/en-us/power-platform/admin/managed-environment-overview Study Guide alignment: Create a foundation for intelligent applications.
NEW QUESTION # 67
You need to configure the access requirements to the views.
Which configurations should you use? To answer, move the appropriate configurations to the correct views.
You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Senior Technicians - Security roles; Hot Assets - Sharing
The Senior Technicians public view should be restricted by security roles. Public views are solution components and can be included in a model-driven app, but role-based view access is the correct mechanism when only a defined class of users should see the view in the view selector. The relevant manager or senior- technician role is granted access while other roles are excluded, allowing each audience to see context- relevant views without changing table-level data privileges. Hot Assets is a personal view created by an individual tester. Personal views are user-owned artifacts and are made available to colleagues by sharing them with users or teams. Sharing the view with the Testers team is therefore the direct way to make it usable by the whole testing group. Owner teams and business units concern record ownership or security scope; they do not convert a personal view into a shared view by themselves. The AB-410 Study Guide lists "configure access to forms and views for model-driven apps." These two configurations apply the platform's distinct access models: role assignment for a public system view and explicit sharing for a user-owned personal view.
Study Guide reference/topic: "Create model-driven apps - Configure access to forms and views." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 68
An organization wants to enhance a model-driven app with Copilot capabilities to improve user productivity, provide contextual guidance, and automate selected business processes.
The solution must meet the following requirements:
* Provide contextual assistance to users that is aware of the current record and page they are working with.
* Automatically execute business processes when predefined trigger conditions are met.
You need to select the appropriate Al component for each requirement
Which component should you use for each requirement? To answer, move the appropriate capabilities to the correct requirements. You may use each capability once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Record-aware contextual assistance: App assistant agent. Automated business steps on trigger conditions: Agent flow.
An app assistant agent is embedded in the application experience and can use the current model-driven app context, including the active page or record, to provide relevant guidance to the user. That satisfies the interactive, record-aware assistance requirement. An agent flow is designed to carry out a defined automated process and can run when configured trigger conditions occur, making it the appropriate component for unattended business steps. An AI Builder model produces a prediction or extraction result but does not itself provide an in-app conversational assistant or orchestrate a triggered process. A general Microsoft 365 Copilot chat experience is not tied to the current model-driven record in the required way. The solution should still scope the assistant ' s access to data the user is authorized to see and should design the flow with clear inputs, failure handling, and auditable outputs. The AB-410 study guide explicitly includes evaluating built-in agents and mapping processes to agent or app capabilities.
Reference: https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/add-ai-copilot Study Guide alignment: Create a foundation for intelligent applications.
NEW QUESTION # 69
You need to configure the generative AI reusability requirements.
What should you do?
Answer: C
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 # 70
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