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| Section | Weight | Objectives |
|---|---|---|
| Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
| Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
| Extend and secure intelligent solutions | 20% | - Deploy, monitor, and maintain solutions
|
| Build intelligent apps with Copilot and agents | 30% | - Create and manage agents with Copilot Studio
|
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87. Frage
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?
Antwort: D
Begründung:
Microsoft Dataverse plug-ins provide server-side extensibility by executing custom .NET code in response to supported Dataverse events. A plug-in can communicate with an external AI service through HTTP or HTTPS requests, allowing developers to implement authentication, construct request payloads, and process service responses. This approach is appropriate when third-party integration must occur as part of server-side Dataverse business logic. Developers can register plug-ins for relevant operations, such as record creation or modification, and configure the appropriate execution stage. External communication must comply with Dataverse sandbox restrictions, authentication requirements, and execution time limits. Long-running AI requests are generally better handled asynchronously to avoid delaying Dataverse transactions. Power Fx primarily provides low-code application formulas, while dataflows and Microsoft 365 Copilot chat do not provide equivalent custom server-side event handling.
88. Frage
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?
Antwort: A
Begründung:
Assigning the appropriate security roles is the complete action because model-driven app access and Dataverse data access are both role driven. The app must be shared with the role, and the role must grant the accounting team the table privileges required to read and create or update the financial records. Configuring app visibility privileges alone may make the app tile appear, but it does not establish the underlying table rights. Setting an app as default affects navigation or launch preference and does not grant access. Granting table-level permissions is only one part of the required configuration and, in Dataverse, those privileges are normally delivered through a security role; option C represents the combined mechanism expected by the question. The administrator should use least privilege, choose the correct access depth, and include privileges for dependent tables and processes used by the app. Existing visibility in the launcher is not proof of effective authorization. The AB-410 Study Guide includes both "configure access to model-driven apps" and
"configure security." Appropriate role assignment aligns the user, the shared app, and the table operations in one enforceable access model.
Study Guide reference/topic: "Create model-driven apps - Configure access to model-driven apps." AB-410 Study Guide | Microsoft Learn technical reference
89. Frage
A company uses a cloud flow to analyze incoming order form PDFs attached to emails.
The cloud flow must use an AI model to extract information from each order. The information must then be added to the enterprise resource planning (ERP) system.
You need to configure the flow.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Antwort: A,E
Begründung:
The flow must add the AI Builder Process documents action and configure its model, document type, and document input. Process documents is the action associated with a trained document-processing model; it reads the attached PDF and returns the fields or tables defined by that model. The flow then maps those outputs to the ERP connector or API operation. Extract standard entities processes plain text for predefined entities and is not the document-field extraction operation described. Classify into standard categories assigns text categories rather than extracting order data. Specifying language and text belongs to text-processing actions and does not provide the required PDF/model configuration. The flow should retrieve attachment content, pass the binary document in a supported format, validate confidence scores or missing fields, and send failed documents to an exception path rather than silently writing incomplete ERP data. The Study Guide explicitly includes "consume an AI model in cloud flows" and "configure cloud flow actions." Options C and E provide the required model invocation and action configuration for document extraction.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume an AI model in cloud flows." AB-410 Study Guide | Microsoft Learn technical reference
90. Frage
A company uses a Dataverse table to manage support cases.
You must provide employees with a summary of case information derived from multiple columns without requiring a manual review of the data.
The solution has the following requirements:
# Generate a case summary following the given instructions.
# Include the context of the current record in the generated output.
You need to configure the solution.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Antwort: B,C
Begründung:
The maker should define a prompt that references the support-case fields and create the destination column with the Prompt data type. The prompt contains the instructions for producing the case summary and declares the record inputs needed to ground that output. The prompt column then makes the generated summary available in the Dataverse/model-driven app context for the current row. A formula column performs deterministic Power Fx computation and cannot generate a natural-language summary from multiple fields. A business rule can set or validate values, but it does not invoke a generative model. The prompt should limit inputs to the approved columns, specify the required structure, and handle empty or contradictory case data so the generated content remains useful. Security on the source fields must still be respected, because an AI- generated summary must not become a route around restricted data. The AB-410 Study Guide lists "configure prompt columns" under Build data models and "add inputs to a prompt" under AI Hub. Options A and D supply the instruction definition and the Dataverse column behavior required for record-context generation.
Study Guide reference/topic: "Build data models - Configure prompt columns." AB-410 Study Guide | Microsoft Learn technical reference
91. Frage
A company is implementing uniform data validation across multiple forms.
The company has the following business logic requirements:
# Enforce validation across multiple forms.
# Minimize logic duplication.
You need to implement business logic.
What are three approaches you can use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. (Choose three.)
Antwort: A,B,D
Begründung:
Business rules, Power Fx functions, and client scripting can each centralize reusable validation when applied at the correct layer. A table-scoped business rule can enforce supported conditions and actions across forms and server-side row operations, reducing form-by-form duplication. A reusable Power Fx function can encapsulate validation logic for canvas-app callers so the expression is maintained once. A JavaScript function packaged as a web resource can be registered across multiple model-driven forms when the validation requires client APIs or behavior not available declaratively. Automated and instant cloud flows run outside the immediate form-validation transaction and cannot reliably prevent the current save with an inline response; they are better for background orchestration or user-triggered processes. The chosen mechanism must match the need for server enforcement versus user-interface feedback. If a validation protects data integrity regardless of entry channel, Dataverse-level declarative or server logic is stronger than client-only code. The Study Guide covers "configure business rules" and "evaluate use cases for business logic." A, B, and D are the three options capable of providing reusable validation logic in the described app contexts.
Study Guide reference/topic: "Implement business and process logic - Evaluate use cases for business logic." AB-410 Study Guide | Microsoft Learn technical reference
92. Frage
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