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| Section | Objectives |
|---|---|
| Topic 1: Build intelligent applications on Microsoft Power Platform | - Application development
|
| Topic 2: Implement automation and orchestration | - Process automation
|
| Topic 3: Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Topic 4: Embed agents and AI experiences | - Agent integration
|
| Topic 5: Governance and application lifecycle management | - Responsible AI and ALM
|
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NEW QUESTION # 35
A company implements a Microsoft Dataverse custom API named SubmitForReview.
This action:
- Runs complex business logic to create a record.
- Is used by multiple apps and services.
The company requires a Power Automate cloud flow that:
- Runs every time the SubmitForReview action is run.
- Avoids triggering on unrelated record updates.
You need to recommend a trigger change type.
Which trigger change type should you recommend?
Answer: A
Explanation:
The Microsoft Dataverse connector provides the When an action is performed trigger for initiating Power Automate cloud flows when a supported Dataverse action completes. In this scenario, the SubmitForReview custom API represents a specific business operation that can be invoked by multiple applications or services.
Configuring an action-based trigger allows the flow to respond to that operation rather than monitoring general changes to Dataverse records. The custom API must be exposed through an appropriate Dataverse event catalog and category so that it can be selected by the trigger. The flow can then access supported action input and output parameters as dynamic content for subsequent processing. A row-change trigger could execute for unrelated record modifications, while the row-selection trigger requires explicit user interaction.
Action-based triggering therefore provides targeted automation and reduces unnecessary workflow executions.
NEW QUESTION # 36
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 on the review screen.
A company integrates external systems into Power Automate by using cloud flows.
The company must connect to external services with different characteristics and determine whether a custom connector is required.
You need to evaluate if a custom connector is necessary to meet the requirements.
Solution: A cloud flow must retrieve data from SharePoint Online lists.
Does the solution meet the goal?
Answer: A
Explanation:
A custom connector is not required because SharePoint Online already has a Microsoft-supported connector.
The SharePoint connector exposes triggers for list-item creation or modification and actions such as Get item and Get items for retrieving list data. Authentication and connection management are handled through the standard connector, and its operations participate in environment connection references and data policies. A custom connector is appropriate when no suitable prebuilt connector exists or when proprietary API operations, schemas, and authentication must be exposed. Recreating normal SharePoint list operations as a custom connector would add API definition, testing, governance, and maintenance without adding required capability. The flow should select the standard action that matches whether one item or a filtered collection is needed and should use OData filtering or pagination for larger lists. The AB-410 Study Guide places this decision under "evaluate and recommend connectors." Because a supported SharePoint connector already meets the requirement, the proposed situation does not make a custom connector necessary. The correct response is No.
Study Guide reference/topic: "Create cloud flows - Evaluate and recommend connectors." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 37
A company wants to reduce the cost of calling a large language model while maintaining acceptable response quality for simple requests. Which strategy should be considered?
Answer: B
Explanation:
Using smaller or specialized models for simpler tasks can reduce inference costs while maintaining acceptable performance. Large models should be reserved for complex reasoning scenarios. Increasing token usage and duplicate requests increase expenses. Effective AI architecture uses workload classification and selects appropriate models based on business requirements.
NEW QUESTION # 38
Employees have difficulty distinguishing custom tables used in a model-driven app.
You are updating the model-driven app to improve usability and user experience.
You have the following requirements:
- Display a distinct icon for each custom table.
- Ensure icons appear consistently for the related tables.
- Apply the configuration without causing missing resource references.
You need to configure each table.
In which order should you perform the actions?
Exhibit:
Answer:
Explanation:
Explanation:
Add image resources to a solution # Open a table definition in the solution # Choose an image under a table image property # Save changes to the table configuration # Publish all customizations.
Microsoft Power Apps uses image web resources to provide custom icons for Dataverse tables displayed in model-driven applications. The appropriate process begins by adding the required image resources to a solution so that they are available for selection and can be included in solution deployments. Next, the developer opens the relevant custom table definition and locates its image configuration properties. The appropriate image web resource is selected and assigned to the table. The configuration must then be saved before publishing the customizations. Publishing makes the updated icons available within supported application interfaces. Microsoft recommends SVG images for scalable icons because they maintain visual quality across different sizes. Keeping image resources and their associated table configurations within a solution also helps maintain dependencies and reduces the possibility of missing resources during deployment.
NEW QUESTION # 39
A company is deploying multiple AI-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: C
Explanation:
Microsoft Power Platform Managed Environments provide advanced governance, monitoring, and application lifecycle management capabilities for enterprise applications. Managed Environments offer centralized administration features, including usage insights, sharing controls, data policies, and solution governance.
They also support native Power Platform pipelines, allowing organizations to deploy solutions through controlled development, testing, and production stages without requiring external deployment tools.
Administrators can use environment groups and associated rules to apply consistent governance configurations across multiple environments. These capabilities are particularly valuable for AI-enabled solutions that contain Dataverse components, cloud flows, and generative AI resources. A sandbox or production environment alone does not automatically provide all these governance capabilities. Managed Environments is a premium management capability that can be enabled on supported environments, including production and sandbox environments, to strengthen operational control.
NEW QUESTION # 40
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