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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Extend and secure intelligent solutions | 20% | - Secure access and data
|
| Topic 2: Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
| Topic 3: Create a foundation for intelligent applications | 28% | - Implement responsible AI principles
|
| Topic 4: Build intelligent apps with Copilot and agents | 30% | - Create and manage agents with Copilot Studio
|
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NEW QUESTION # 60
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: C
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 # 61
Case Study 2 - 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Field technicians use an outdated mobile app to log maintenance activities and capture asset readings in SharePoint Online.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.
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: B,D
Explanation:
Scenario: The company requires a generative AI solution to manage customer complaint responses and create custom inspection reports that align to an existing template You should use a custom prompt (starting from a blank prompt) for the template alignment, and a pre-built model for the complaint responses.
Task 1: Inspection Reports (Aligning to an Existing Template)
Approach: Start from a blank prompt (Custom Prompt).
Reason: Pre-built templates are rigid and designed for standard tasks like summarizing text or translating language. To make an AI output match your specific corporate inspection layout, tone, and data points, you need to write custom system instructions and ground it with your specific template rules.
Task 2: Customer Complaint Responses
Approach: Use a pre-built model (specifically the "Reply to a complaint" or "Create text with GPT" pre-built models in AI Builder).
Reason: Microsoft provides pre-trained, ready-to-use models optimized exactly for sentiment analysis and standard customer service drafting. This saves you from writing complex prompts from scratch for standard business scenarios.
Reference:
https://learn.microsoft.com/en-us/dynamics365/field-service/faqs-inspection-designer
NEW QUESTION # 62
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: B
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 # 63
You create a parent entity and a child entity. The parent entity has a 1:N relationship with the child entity.
You need to ensure that when the owner changes on the parent record that all child records are assigned to the new owner.
You need to configure the relationship behavior type.
What should you use?
Answer: D
Explanation:
To automatically assign all child records to a new owner when the parent record's owner changes, you must use a Parental relationship behavior type, or a Configurable Cascading relationship behavior type with the Assign action set to Cascade All.
Reference:
https://learn.microsoft.com/en-us/dynamics365/customerengagement/on-premises/customize/create-and-edit-1n-relationships
NEW QUESTION # 64
A company uses a model-driven app across multiple departments.
A public view intended only for managers currently exposes sensitive columns and filters to all users.
The view must meet the following requirements:
- Restrict access to the specific public view to managers.
- Display only context-relevant views for other users.
You need to configure view access.
What should you do?
Answer: A
Explanation:
To achieve this goal, you should restrict the view by assigning it to the manager security role.
Incorrect:
[Not B]
Table-level permissions (Security Roles) control access to the data rows themselves, not the user interface components like views.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/manage-view-access
NEW QUESTION # 65
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