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| Section | Weight | Objectives |
|---|---|---|
| Create intelligent applications | 25-30% | - Create canvas apps
|
| Build business application logic and automation | 40-45% | - AI prompts and models
|
| Create a foundation for intelligent applications | 25-30% | - Design Microsoft Power Platform solutions using AI-enabled tools
|
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NEW QUESTION # 77
A company processes customer orders by using a cloud flow.
The flow must evaluate the following conditions:
# Route orders for approval when the OrderTotal exceeds 1,000.
# Flag orders when the CustomerName identifies the string "VIP".
You need to configure flow conditions.
Which expressions should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
OrderTotal - greater(triggerOutputs()?['body/OrderTotal'], 1000); CustomerName - contains (triggerOutputs()?['body/CustomerName'] , 'VIP')
The approval condition must use greater(triggerOutputs()?['body/OrderTotal'], 1000) because the requirement is strictly "exceeds 1,000." equals would match only 1,000, and less would reverse the decision. The VIP test must use contains(triggerOutputs()?['body/CustomerName'] , 'VIP') because the requirement says the name identifies the string anywhere in the value. startsWith would miss names where VIP occurs later, and equals would match only a value consisting entirely of VIP. In production, the maker should confirm the trigger schema and ensure OrderTotal is numeric rather than text; conversion may be required when the source supplies a string. Case sensitivity and null handling should also be tested for customer names. These expressions can be used in Condition actions or trigger conditions depending on whether unwanted runs should be prevented entirely. The Study Guide explicitly includes "implement flow control with conditions and loops." The two selected functions translate the comparison language precisely: greater for the numeric threshold and contains for substring identification.
Study Guide reference/topic: "Create cloud flows - Implement flow control with conditions." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 78
Maintenance metrics are not consistently calculated across related rows.
You need to provide a solution for field technicians to create custom inspection reports natively within the new app.
What should you do?
Answer: B
Explanation:
A custom prompt is the native low-code mechanism for generating an inspection report from current app data while following the company's existing template instructions. The maker can define inputs for the inspection fields, specify required sections, tone, order, and formatting, and invoke the prompt from the new app. This keeps the report-generation experience within Power Platform and minimizes custom AI development. A paginated report is well suited to deterministic, pixel-precise reporting, but it does not perform the requested generative composition and generally presents a separate reporting artifact. A Word template performs deterministic field substitution and is useful when no generative rewriting is required; it does not supply the AI-driven custom narrative described in the case. The prompt should be grounded only with approved inspection data, tested for missing inputs, and reviewed for output consistency before production use. The Study Guide covers "build prompts," "add inputs to a prompt," and "consume a prompt in apps." Option C is therefore the component that directly implements native generative inspection-report creation.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume a prompt in apps." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 79
An organization wants to deploy an AI application that identifies defective products from manufacturing camera images. The company has thousands of labeled images and requires a customized model with continuous retraining capabilities. Which Azure service should be used?
Answer: A
Explanation:
Azure Machine Learning provides tools for developing, training, deploying, and managing custom machine learning models. Because the organization has labeled images and requires continuous retraining, a custom ML workflow is appropriate. Azure AI Vision offers prebuilt capabilities but is less suitable when specialized industrial image recognition models must be trained and optimized.
NEW QUESTION # 80
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: B,E
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 # 81
A developer creates an AI application requiring semantic search over millions of product descriptions. Users should find relevant products even when search terms do not exactly match stored text. Which capability is required?
Answer: C
Explanation:
Vector embeddings convert text into numerical representations that capture semantic meaning.
Vector search can identify related concepts even when exact keywords differ. Traditional keyword indexing depends heavily on matching terms. SQL procedures and compression techniques do not provide semantic understanding required for intelligent search experiences.
NEW QUESTION # 82
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