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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Extend and secure intelligent solutions | 20% | - Secure access and data
|
| Topic 2: Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
| Topic 3: Build intelligent apps with Copilot and agents | 30% | - Integrate Copilot into canvas and model-driven apps
|
| Topic 4: Enhance solutions with AI and automation | 22% | - Build automation with Power Automate
|
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NEW QUESTION # 73
A company uses a model-driven app to enforce data quality standards.
The company requires the following app functionality:
# Ensure users enter a value in a specific column when a condition is met.
# Prevent users from saving the record until they complete the field.
The solution must be implemented without using code or automation.
You need to configure a business rule to meet the requirements.
What should you do?
Answer: D
Explanation:
The business rule should use Set requirement level to make the target column Business Required when the stated condition is true. In a model-driven form, this prevents the record from being saved until a value is entered, and the requirement can be returned to Optional when the condition no longer applies. Show recommendation presents advisory guidance that a user may ignore, so it cannot enforce completion. Set field visibility only controls whether a control is displayed. Set default value supplies an initial value but does not guarantee that a valid value remains or that the user cannot clear it. The rule should be scoped to the intended table or form and should include both the true and false paths so requirement level does not remain incorrectly set after values change. If the rule must govern updates through APIs as well as forms, the designer must confirm that the selected scope and action provide server-side enforcement for the scenario. The Study Guide explicitly lists "configure business rules." Option D is the declarative, no-code action that implements conditional mandatory data entry and blocks the form save until the requirement is satisfied.
Study Guide reference/topic: "Implement business and process logic - Configure business rules." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 74
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 in the review screen.
You administer the Microsoft 365 and Microsoft Power Platform environments for Contoso, Ltd. The company has a model-driven app that is used to track customer interactions with employees. The app uses standard table types for customers. A user named Elisabeth Rice signs in to the app by using the following sign in name: Elisabeth.Rice@contoso.com. After marriage, Elisabeth changes her legal name to Elisabeth Mueller.
You need to update the sign in name for the user without losing any application history.
Solution: From Dynamics 365 Settings, select Email Configuration. In the active mailbox for the user, update the name .
Does the solution meet the goal?
Answer: B
Explanation:
Updating the active mailbox name under Dynamics 365 email configuration does not change the user's sign- in name. A mailbox row stores email-processing configuration associated with a user or queue; it is not the authority for Microsoft 365 credentials or the Microsoft Entra user principal name. Changing mailbox details would therefore leave Elisabeth.Rice@contoso.com as the actual identity used for authentication and would not satisfy the legal-name sign-in requirement. The existing Microsoft 365 account must be renamed by an identity administrator so the same directory object is preserved. Dataverse can then synchronize the updated identity while retaining row ownership, security associations, and historical activities. Mailbox settings may need review afterward if the primary SMTP address changes, but that is a follow-up configuration rather than the identity change itself. The Study Guide's audience profile explicitly describes collaboration with environment and security administrators for identity and authentication, and "configure security" remains part of Build data models. Since the proposed mailbox-only change acts on the wrong component, the correct answer is No.
Study Guide reference/topic: "Build data models - Configure security." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 75
A company uses Dataverse to manage customer accounts and related transaction records.
The company requires the following functionality:
- Reference a single related record without performing any
aggregations.
- Store the relationship as part of the table definition, so the
platform automatically maintains the link between records.
You need to configure a column.
Which type of column should you configure?
Answer: C
Explanation:
A Lookup column is the best fit for the requirements.
A Lookup column specifically establishes a direct, unaggregated relationship between two records. By adding a Lookup column to a table, Dataverse automatically defines a formal one-to- many table relationship, ensuring the platform consistently maintains the link and enforces data integrity.
Reference:
https://www.esamatic.it/technologies/power-platform/dataverse/relationships
NEW QUESTION # 76
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 the extensibility requirements.
Which two options should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
Scenario:
Extensibility
Custom UI form components must be reusable across applications.
Use of server-side custom code must be minimized where possible.
The two features that could be used to meet both requirements are Business rule and Power Apps component framework control.
Business rule: This feature directly aligns with the requirement to minimize server-side custom code. Business rules provide a completely no-code/low-code graphical interface to handle form logic, such as setting column values, showing/hiding fields, and validating data without writing custom scripts or plugins.
Power Apps component framework control (PCF control): This feature directly addresses the requirement for custom UI form components that must be reusable across applications.
Professional developers can create advanced visual UI components (such as sliders, dials, or custom interactive forms) and package them so they can be easily reused multiple times across canvas apps, model-driven apps, and different tables/forms.
Reference:
https://learn.microsoft.com/en-us/power-apps/developer/component-framework/overview
NEW QUESTION # 77
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 configure the generative AI reusability requirements. What should you do?
Answer: C
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.
To achieve the requirement of managing customer complaint responses and creating custom inspection reports that align with a specific template, you should Call the prompt from a Power Automate cloud flow.
Automated Document Generation: Generating an inspection report matching an existing template requires background document-generation engines, file handling, and saving capabilities (e.g., population into SharePoint, Word Online, or OneDrive). Power Automate is specifically engineered to orchestrate these multi-step background enterprise automations.
Multi-Step Workflow Orchestration: A single automated cloud flow can naturally string together multiple tasks sequentially. For instance, it can ingest incoming data, run the AI Builder Run a prompt action to draft the empathetic complaint response, use a second prompt action to structure the template report, and then distribute both as needed.
Human-in-the-Loop Capabilities: Microsoft highly recommends adding human oversight for generative AI outputs in complaint responses before sending them to customers. Cloud flows make it easy to seamlessly pause mid-process and use Power Automate Approvals to let a human review the content.
Reference:
https://learn.microsoft.com/en-us/ai-builder/use-a-custom-prompt-in-app
NEW QUESTION # 78
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