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Our qualified team of Microsoft Building Intelligent Applications study material to improve the quality and to match the changes in the syllabus and pattern shared by AB-410. Our desktop Microsoft AB-410 Practice Exam software is designed for all those candidates who want to learn and practice in the actual Microsoft AB-410 exam environment.

Microsoft AB-410 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Enhance solutions with AI and automation22%- Build automation with Power Automate
  • 1. Design flows using natural language
  • 2. Add AI actions and triggers
- Use AI Hub models and pre-built capabilities
  • 1. Implement text, image, and document processing
  • 2. Integrate generative AI features
Topic 2: Extend and secure intelligent solutions20%- Deploy, monitor, and maintain solutions
  • 1. Monitor performance and usage
  • 2. Manage solution lifecycle
- Secure access and data
  • 1. Apply data protection policies
  • 2. Configure roles and permissions
Topic 3: Build intelligent apps with Copilot and agents30%- Create and manage agents with Copilot Studio
  • 1. Connect agents to data and services
  • 2. Design agent logic and conversation flows
- Integrate Copilot into canvas and model-driven apps
  • 1. Customize Copilot responses and behavior
  • 2. Configure Copilot features and prompts
Topic 4: Create a foundation for intelligent applications28%- Design solutions using AI-enabled tools
  • 1. Recommend environment and ALM strategies
  • 2. Analyze requirements and select components
  • 3. Evaluate built-in agents and AI capabilities
- Implement responsible AI principles
  • 1. Ensure transparency and fairness
  • 2. Apply governance and compliance rules

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Microsoft Building Intelligent Applications Sample Questions (Q68-Q73):

NEW QUESTION # 68
You are configuring a dashboard in a model-driven app for sales managers. The dashboard displays opportunity pipeline data from the Opportunities table.
The company requires the following functionality:
# Show how each sales stage contributes to the total pipeline for each sales region.
# Ensure a newly created chart is available to users in the app.
# Use the My Open Opportunities dataset when the dashboard component loads.
# Prevent users from switching to a different chart at runtime.
You need to create and configure the chart and dashboard component.
How should you configure the requirements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Regional contribution - Stacked column chart; Publish chart in app - Select the chart for the table in app designer; Initial dataset - Set the Default View; Prevent chart switching - Clear Display Chart Selection

A stacked column chart is appropriate because each regional column can display the sales-stage segments that compose the region's total pipeline, making both overall magnitude and stage contribution visible. A standard column chart would compare separate values but would not show composition in the same bar, while a pie chart does not compare multiple regional totals effectively. The chart must be selected for the Opportunities table in the app designer so it becomes part of the model-driven app package available to users. The dashboard component's Default View should be set to My Open Opportunities so that dataset loads initially.
To prevent runtime chart switching, Display Chart Selection must be cleared; otherwise users can choose another available chart. "Default Chart" determines which chart opens first but does not prevent selection of others. The maker should verify that the chosen view and chart are shared through the app and that users have privileges to the underlying opportunity records. The Study Guide explicitly covers "create and configure model-driven app charts and dashboards." These four settings govern visualization type, app inclusion, initial data context, and runtime choice independently.
Study Guide reference/topic: "Create model-driven apps - Create and configure charts and dashboards." AB-410 Study Guide | Microsoft Learn technical reference


NEW QUESTION # 69
A company wants to build a generative AI assistant that answers employee questions using internal policies stored in SharePoint. The assistant must provide responses based only on approved company documents. Which architecture pattern should be implemented?

Answer: B

Explanation:
Retrieval-Augmented Generation (RAG) combines a language model with external knowledge retrieval. The system searches approved documents and provides relevant context to the model before generating answers. Fine-tuning changes model behavior but does not guarantee access to current information. RAG is preferred for enterprise assistants requiring grounded responses from organizational data sources.


NEW QUESTION # 70
You are building a model-driven app that uses a Microsoft Dataverse table named Accounts. Sales representatives use the app to manage customer records.
Sales representatives report that too many records are displayed, including inactive and unrelated accounts where the sales representative isn't the record owner.
You need to ensure only relevant records are displayed for the users.
What are two ways to complete the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Answer: A,C

Explanation:
Security-role-based view access and view filters address different parts of the record-display problem. A view filter constrains the rows returned-for example, Status equals Active and Owner equals Current User-so inactive or unrelated accounts do not appear. Security roles can restrict which public views are available to particular audiences, preventing users from selecting a broader view that was not designed for them. Defining view columns only changes which fields are shown; it does not reduce the number of records. App settings do not provide the row-specific query criteria. Configuring a status column supplies data that a filter can test but does not itself filter the view. Dataverse row-level privileges remain the security boundary: a filtered view improves relevance but should not be treated as protection against access through another query or API. The role should therefore also implement the intended record access depth. The AB-410 Study Guide covers
"create and configure views," "configure access to forms and views," and "configure security." Options C and E combine audience-appropriate view availability with the query criteria needed to show the relevant records.
Study Guide reference/topic: "Create model-driven apps - Create and configure views." AB-410 Study Guide | Microsoft Learn technical reference


NEW QUESTION # 71
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 # 72
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 # 73
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