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| Section | Weight | Objectives |
|---|---|---|
| Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
| Create a foundation for intelligent applications | 28% | - Implement responsible AI principles
|
| Build intelligent apps with Copilot and agents | 30% | - Create and manage agents with Copilot Studio
|
| Extend and secure intelligent solutions | 20% | - Deploy, monitor, and maintain solutions
|
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53. Frage
A company maintains an AI-enabled Power Platform solution that includes prompts, cloud flows, and Dataverse components. The solution is deployed to a production environment.
The company requires the following updates to the solution:
- New features must be released regularly.
- Updates must be validated before release.
- Deployed updates must be able to be removed from production if
necessary.
You need to update the solution while maintaining release control and following Microsoft best practices.
What should you do?
Antwort: A
Begründung:
Modifying the development environment and deploying the solution as managed is the correct action and aligns with Microsoft best practices.
Ability to Remove Deployed Updates: Importing a solution as managed allows you to cleanly uninstall the solution later if a rollback is necessary. Uninstalling a managed solution completely removes all its associated components (prompts, cloud flows, and Dataverse tables) from the production environment, whereas updating with unmanaged solutions results in additive-only changes that cannot be automatically deleted upon removal.
Reference:
https://learn.microsoft.com/en-us/power-platform/alm/organize-solutions
54. Frage
A company is designing a Power Platform solution that includes a model-driven app used by customer service representatives to manage support cases.
The company is evaluating which solution component to include in the app. The solution must meet the following requirements:
- Users must interact with system-generated responses while working
within forms and views.
- Responses must reflect the current data and context in the app.
- Users must remain within the app while interacting with the solution.
You need to recommend solution components for the app.
Which two components should you recommend? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Antwort: A,B
Begründung:
[B]
A Microsoft Copilot Studio agent fulfills these specific requirements by providing embedded, context-aware AI directly inside the user's workflow without disrupting their activities.
In-Form Interactions: Using the Agent response component, agents can be embedded directly into the layout of a model-driven form. This prevents context switching, allowing users to interact with responses alongside their primary workspace.
Real-Time Context: By leveraging Agent APIs, the agent is automatically passed dynamic app data-such as case details, customer information, and recent interactions-triggering specific topics that tailor responses to the exact current record.
Rich Native Formatting: The solution accommodates Markdown text, images, videos, and Adaptive Cards directly in forms. Customer service representatives can therefore review procedures and examine troubleshooting information without ever leaving the app.
[D]
You should include an App assistant agent (also known as a Copilot sidecar or embedded Copilot agent) in your Power Platform solution.
In-App Interaction: An embedded Copilot Studio agent integrates directly into the model-driven app as a sidepane sidecar or page component. This satisfies the requirement that users must remain within the app.
Context-Aware Responses: Modern app assistant agents inherently access the active form context, row data, and selected view items. This fulfills the requirement that responses must reflect current data and context.
Direct Interaction: Representatives can chat with, trigger, and review system-generated outputs directly beside their active workspace, allowing seamless interaction within forms and views.
Reference:
https://learn.microsoft.com/en-us/power-platform/architecture/reference-architectures/contextual-ai-model-driven-app
55. Frage
A company builds a canvas app for support agents to enter customer notes and generate a summarized response by using a custom prompt.
The company requires the following functionality built into the prompt:
# Generate the summary immediately when the agent selects a button in the app.
# Supply current user-entered data to the prompt.
You need to execute the prompt.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Antwort: A,D
Begründung:
The app should pass the current user-entered values as prompt parameters and invoke the prompt directly from the button's Power Fx logic. Parameters ensure that the generated summary is grounded in the text currently displayed in the app rather than stale or hard-coded data. Direct invocation from the button provides the immediate interactive behavior required by the scenario. A cloud flow can also consume a prompt, but it adds an orchestration layer that is u nnecessary when the requirement is limited to a synchronous canvas-app interaction. Publishing the prompt is part of making a completed component available, but it does not execute the prompt or provide the current input. Updating general app settings is unrelated. The button formula should validate blank content, handle errors, and place the returned summary in a variable or control only after a successful response. The prompt's inputs and output should be typed and tested for expected maximum lengths. The Study Guide explicitly includes "add inputs to a prompt" and "consume a prompt in apps." Options B and C meet those two runtime responsibilities.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume a prompt in apps." AB-410 Study Guide | Microsoft Learn technical reference
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.
56. Frage
Case Study 1 - Contoso, Ltd
Background
Contoso Ltd. is a global renewable energy provider that operates wind farms and solar installations. The company is modernizing its maintenance and operations platform. The company plans to implement a Microsoft Power Platform solution for the operations team. The implementation will include Microsoft Dataverse, a model-driven app, and Power Automate cloud flows.
The company is building and testing a new model-driven app named Operations. The solution will support operations managers, regional coordinators, and field technicians. The app must integrate with an external cloud-based system that manages onboarding of field technicians.
Contoso Ltd. plans to improve data quality and enforce consistent business logic across the app and automation processes.
Technical environment
Contoso Ltd. has an Identity and Access Management (IDAM) department that manages security.
The company has one Power Platform environment named Production, where all building and configuration take place. Auditing is disabled.
The Production environment has the following security configurations:
- IDAM has a Microsoft Entra security group named Contoso Ltd. QA. This security group will assign all members a Power Apps license.
- IDAM created a Quality Assurance security role that grants read and write access to all custom tables.
- IDAM also created a team named Testers in Dataverse, of a Microsoft Entra group team type.
The team is configured for the Contoso Ltd. QA security group. The Testers team is assigned the Quality Assurance security role.
Microsoft 365 environment
All Contoso Ltd. managers are included in a Microsoft 365 group named Managers. The group is NOT enabled for email.
The company shares a SharePoint list with a key customer: Alpine Ski House. Alpine Ski House staff members can add new maintenance requests, which are then checked and marked as reviewed by Contoso Ltd.
Current issue:
A new QA tester joins Contoso Ltd. The IDAM department adds the new tester to the Contoso Ltd. QA security group. However, the new tester is not listed in the Testers team as a member.
Other applications:
A separate software-as a-service (SaaS) solution named TechCheck manages technician onboarding. The TechCheck solution is set up as follows:
- TechCheck assigns a unique number named Ref to all technicians.
- Users cannot make changes to the TechCheck data model.
- Users cannot use the same TechCheck ref on more than one Technician row.
Automation requirements
Contoso plans to use Power Automate to develop a Maintenance Request Approval flow. The flow must meet the following requirements:
- Create a Maintenance Request row in Dataverse when either of the following occurs:
- An item is added to the SharePoint list by the customer with the Priority property set to High.
- Any item is checked and marked as reviewed by a Contoso Ltd. representative.
- Seek maintenance request approvals from managers through both email and a Microsoft Teams message after they have been reviewed:
- Requests require approval from all managers.
- If one manager rejects the request, approval must not be granted.
- The result of the approval request must be sent to the initial reviewer in an email. The subject line must set the response as either Approve or Reject.
Contoso Ltd. requires the following table logic:
- If a user tries to enter a price greater than the cost on a new Asset row, the row must display an inline error message.
- If a user tries to save changes to a Technician row where the TechCheck ref column is empty, the action must be prevented and a message explaining the action must be displayed.
Any updates made to Technician profiles in TechCheck must be mirrored in Dataverse by using a custom integration. The developers building the integration require an index for performant searches on the Technician table.
Data model and app design
Contoso Ltd. plans to use Dataverse as its central data platform. Log storage must be minimized.
Tables
The following tables are required for data modeling and the app design:
- Assets: Stores information about solar panels and wind turbines
- Maintenance Requests: Tracks issues and maintenance activities. The table must include the following columns:
- Request ID (auto-number)
- External Request Code (text)
- Assigned
- Technician (lookup to Technicians)
- Report (lookup to Maintenance Reports)
- Technician updated (Yes/No)
- Maintenance Reports: Tracks the results of maintenance reports
- Technicians: Stores technician assignment data. The table must include the following columns:
- Full Name (Text)
- Mobile phone number (Text)
- Email (Text)
- Seniority (Choice)
- TechCheck ref (Text)
Data modeling
The data model must provide the following functionality:
- Maintenance Requests must:
- be uniquely identifiable across systems.
- have two inactive statuses, Cancelled and Duplicate.
- If a new option is added to an existing set of options, it must be made available automatically for selection on all columns that use the set.
- A new column named Priority must be added to multiple tables. Users must be able to select only one option from the following set per row:
- Low
- Medium
- High
- Critical
Changes to the Technician column on Maintenance Requests must be tracked for compliance purposes. Rows must include the names of previous and current technicians and the time of the change.
Relationship requirements
- One asset can be related to many maintenance requests. A maintenance request can have many assets.
- A maintenance request can have only zero or one maintenance report.
- Only one Technician can be related to a Maintenance Request at a time.
- When a Maintenance Request is deleted, any Maintenance Reports associated with it must also be deleted, but this action should be prevented if there is value in the Technician lookup.
- When a Maintenance Request is assigned to a different owner, the Maintenance Report associated with it must be reassigned to the new owner as well, but the associated Technician should stay with the current owner.
App design
The Technicians table contains the following public views:
- Senior Technicians
- Junior Technicians
The Senior Technician view must be available through the table list view selector to a set of specific users only.
A tester creates a personal view named Hot Assets on the Assets table. The tester recognizes that the view is useful for the entire testing team. The view must be made accessible to the team.
Drag and Drop Question
You need to configure the Maintenance Request relationships to the other tables.
Which type of relationship behavior should you set? To answer, move the appropriate behavior types to the correct tables. You may use each behavior type 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.
Antwort:
Begründung:
Explanation:
Box 1: Referential, Restrict Delete
If forced to choose the closest standard behavior that ensures the primary safety rule (preventing deletion if a technician is assigned) is met before any deletion happens, Referential, Restrict Delete Box 2: Referential, Restrict Delete The correct relationship type to use is Referential, Restrict Delete.' One-to-Many Structure: A technician can have multiple requests, but each request only links to one technician. This requires a standard lookup field on the Maintenance Request table.
Data Integrity: Restrict Delete prevents a technician record from being deleted if they are still assigned to active maintenance requests. This stops your data from becoming orphaned or broken.
Independent Lifecycles: A maintenance request should not be deleted just because a technician leaves the company (which rules out Parental).Historical Tracking: You want to keep the maintenance history intact rather than clearing the technician link blank (which rules out Remove link).
Scenario:
Relationship requirements
A maintenance request can have only zero or one maintenance report.
Only one Technician can be related to a Maintenance Request at a time.
When a Maintenance Request is deleted, any Maintenance Reports associated with it must also be deleted, but this action should be prevented if there is value in the Technician lookup.
When a Maintenance Request is assigned to a different owner, the Maintenance Report associated with it must be reassigned to the new owner as well, but the associated Technician should stay with the current owner.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/data-platform-entity-lookup
57. Frage
A company is designing an AI-enabled solution to help employees review and evaluate customer requests.
The company requires an AI summary to be generated at runtime by using instructions provided by the company, including tone , structure, and required data fields. The Prompt control will use these instructions on Power Apps forms across multiple tables.
You need to store the instructions.
Which component should you use?
Antwort: C
Begründung:
The runtime instructions should be stored in an AI Builder custom prompt. A custom prompt is the managed component that holds the company's directions for tone, structure, required fields, inputs, and expected output. The same prompt can be invoked by Prompt controls on forms for different tables, provided the inputs are designed generically or mapped appropriately. A Power Platform AI model represents a model capability, but it is not the artifact used to store these scenario-specific natural-language instructions. A Dataverse prompt column applies generation to a table column; the question requires reusable instructions for controls across multiple tables, not a separate generated column definition. A business rule is deterministic logic and cannot store or execute generative instructions. The prompt should be solution aware, versioned through ALM, tested with representative records, and restricted to approved grounding data. The Study Guide explicitly measures the ability to "build prompts," "add inputs to a prompt," and consume prompts in apps. An AI Builder custom prompt is therefore the reusable instruction asset that the Prompt controls should call at runtime.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts." AB-410 Study Guide | Microsoft Learn technical reference
58. Frage
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