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

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Microsoft Building Intelligent Applications Sample Questions (Q12-Q17):

NEW QUESTION # 12
A company maintains a Power Platform solution that includes prompts, cloud flows, and Dataverse components. Multiple development teams are responsible for different features within the solution .
The development teams have the following requirements:
# Teams must develop and update the same features independently.
# Updates must not overwrite changes made by other teams.
# Production deployments must remain controlled and predictable.
You need to recommend an ALM approach that supports independent development and controlled deployment in line with Microsoft best practices.
What should you recommend?

Answer: B

Explanation:
Separate development environments and separate solutions provide the required isolation between teams, while managed deployments provide production control. Each team can own a functionally scoped solution in its own development environment, preventing concurrent makers from overwriting the same unmanaged component layer. The solutions can be source-controlled, validated, and deployed independently through an approved pipeline. Importing them as managed solutions in production gives the organization a controlled, upgradeable package and supports removal through solution uninstall when dependencies permit. Keeping separate solutions in one shared development environment does not fully isolate changes to common components. Direct changes in production bypass validation and make the deployed state difficult to reproduce. Unmanaged solutions in production merge customizations into the active layer and are not the recommended release artifact. Dependencies and shared components must still be planned deliberately so that one solution does not silently require another team's unmanaged work. This approach reflects the Study Guide requirement to "apply a Microsoft Power Platform solution and ALM strategy" and the standard separation of development, test, and production responsibilities.
Study Guide reference/topic: "Design Power Platform solutions - Apply a solution and ALM strategy." AB-
410 Study Guide | Microsoft Learn technical reference


NEW QUESTION # 13
You need to resolve the issues with the canvas apps.
Which two configurations should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Answer: B,D

Explanation:
A user-defined function and a component library solve different forms of duplication in the canvas-app estate.
A user-defined function centralizes reusable Power Fx logic behind a named, parameterized function, so formulas do not need to be copied and maintained independently. A component library stores reusable canvas components that can be consumed by multiple apps and updated through a controlled component lifecycle.
That directly supports the requirement for reusable UI elements across applications. A collection is an in- memory table used during an app session, not a cross-application logic package. A context variable is screen scoped and cannot standardize behavior across apps. A named formula can centralize a reusable calculation within an app, but the question's paired requirements emphasize reusable logic and reusable UI across multiple applications; the function and component library provide the complete combination. The components should be packaged in solutions and governed through ALM so dependent apps receive tested versions. The Study Guide names "user-defined functions" and "component libraries" within its exact objective to "create reuseable components," making B and D the aligned selections.
Study Guide reference/topic: "Create canvas apps - Create reusable components." AB-410 Study Guide | Microsoft Learn technical reference


NEW QUESTION # 14
You need to implement a generative AI solution that meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Answer: C,D

Explanation:
The solution should use a prebuilt AI capability where it satisfies the complaint-processing requirement and create the generative prompt from blank for the organization-specific inspection report. Using a prebuilt model minimizes custom model development and training effort, which directly reflects the stated constraint.
A blank custom prompt gives the maker control over the inspection template, instructions, inputs, tone, and output format required by the business. Starting from a prompt template can accelerate common scenarios, but the case requires alignment to an existing custom inspection format; a blank prompt avoids carrying irrelevant template assumptions and permits deliberate grounding. Building a custom trained model would add data preparation, training, validation, and lifecycle overhead that the requirement seeks to minimize. The prompt should define required inputs explicitly and be tested with representative data to prevent the inconsistent output problem identified in the case. The Study Guide covers "build prompts from templates or from blank,"
"add inputs to a prompt," and consumption of AI capabilities in apps and flows. Options A and C provide the lowest-custom-development design that still supports the specific generative output.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts and consume AI capabilities." AB-410 Study Guide | Microsoft Learn technical reference


NEW QUESTION # 15
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 Microsoft Dataverse.
Does the solution meet the goal?

Answer: A

Explanation:
Microsoft Dataverse is already supported by the first-party Microsoft Dataverse connector, so a custom connector is not necessary. The connector includes actions such as List rows, Get a row by ID, Add a new row, Update a row, and Delete a row, as well as triggers for row events. For retrieval, the maker chooses Get a row for a known identifier or List rows for a query and can apply select, filter, order, expand, and pagination options where supported. The connection uses the platform's established authentication and Dataverse security model instead of a separately authored API definition. A custom connector would only be justified for an unsupported proprietary endpoint or functionality that the standard connector does not expose and that cannot be addressed through supported Dataverse operations. It would be wasteful to recreate common table access. The Study Guide's cloud-flow section includes "evaluate and recommend connectors" and "configure cloud flow actions." The standard Dataverse connector directly satisfies the requirement, so the proposed situation does not demonstrate a need for a custom connector. 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 # 16
A company is using a model-driven app to process orders. The company uses a custom integration to add orders to Microsoft Dataverse from two separate point-of-sale solutions.
Order numbers are stored in a column on an Order table named Number. The order numbers are prefixed with the value POS1- or POS2- depending on which point-of-sale system they originated from.
The company creates a calculated text column to store the clean order number. The clean order number must remove the point-of-sale system prefix.
You need to configure the action on the calculated column.
Which formula should you use?

Answer: B

Explanation:
Each prefix contains five characters: P, O, S, the system digit, and the hyphen. TRIMLEFT(Number, 5) removes those five leading characters and returns the remaining clean order number. For example, POS1-
78421 becomes 78421, and POS2-78421 produces the same clean value. Removing four characters would leave the hyphen, while TRIMRIGHT would remove characters from the actual order number rather than the source-system prefix. CONCAT adds text and cannot perform the required cleanup. Because the source integration already guarantees one of the two fixed prefixes, the calculated expression can apply the same length consistently. Production design should still consider null values, unexpected prefixes, and maximum output length so malformed integrations do not produce misleading results. The result is derived rather than manually maintained, which prevents divergence between Number and the clean-number column. The AB-
410 Study Guide explicitly includes "configure calculated, rollup, and formula columns." Option C applies the calculated-text function that matches the exact prefix structure.
Study Guide reference/topic: "Implement business and process logic - Configure calculated, rollup, and formula columns." AB-410 Study Guide | Microsoft Learn technical reference


NEW QUESTION # 17
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