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| Section | Objectives |
|---|---|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Embed agents and AI experiences | - Agent integration
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Implement automation and orchestration | - Process automation
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
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NEW QUESTION # 84
You need to configure a Power Automate flow to send the email with the results to the client. What should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Process Qualification records: Apply to each. Evaluate each Qualification: Condition.
List rows returns the Qualification records associated with the Service Request as an array. Apply to each is the correct control for processing every item in that fixed collection and building the Valid or Not Valid output required in the email. Inside the loop, a Condition evaluates the current Qualification ' s verification result or status and follows the appropriate branch to append the correct text. Do until is not the right selection for evaluating one record; it repeatedly executes actions until a termination expression becomes true and is intended for condition-driven polling or iterative work. The flow should initialize the email-body variable before the loop, append one formatted result per Qualification inside the appropriate condition branch, and send the message only after Apply to each completes. Microsoft's Power Automate guidance demonstrates Apply to each for an array and a nested Condition for testing a property of each current item.
Reference: https://learn.microsoft.com/en-us/power-automate/use-expressions-in-conditions Study Guide alignment: Build business application logic and automation.
NEW QUESTION # 85
Drag and Drop Question
A company uses a cloud flow to process customer records in Dataverse.
The flow must:
- Retrieve a customer record.
- Store the customer email address for later use.
- Use the stored value in an email action.
You need to configure flow actions.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
Answer:
Explanation:
Explanation:
Step 1: Get a row by ID (Dataverse)
Retrieve the specific customer record.
Step 2: Initialize a variable
Create a string variable to hold the email address.
Step 3: Set variable
Store the customer's email address in the initialized variable
Step 4: Send an email
Pass the stored email variable into the "To" field of the email action
Reference:
https://learn.microsoft.com/en-us/power-automate/create-variable-store-values
NEW QUESTION # 86
A company plans to implement an automated process to retrieve and analyze customer feedback.
The company requires a solution that:
# Autonomously analyzes feedback.
# Stores results for reporting.
# Triggers an escalation for negative sentiment.
You need to design the solution.
Which three components should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. (Choose three.)
Answer: C,D,E
Explanation:
The solution requires an AI Builder prompt, a cloud flow, and a Dataverse table. The prompt performs the autonomous semantic analysis of each feedback item, including sentiment or other instructed classifications.
The cloud flow supplies the event-driven orchestration: it retrieves new feedback, calls the prompt, interprets the result, writes the output, and branches to an escalation action when sentiment is negative. Dataverse provides persistent, queryable storage for the original feedback, model result, status, and reporting fields. A canvas app may be useful for reviewing results but is not required for autonomous execution. A business rule can validate or adjust Dataverse data but cannot independently call the generative model and orchestrate external escalation. The flow should include explicit failure handling, confidence or result validation, and an idempotent design so retries do not create duplicate escalations. Approved data policies must also permit the connectors used by the flow. The Study Guide covers "consume a prompt in cloud flows," "configure cloud flow actions," and the creation of Dataverse-backed business solutions. A, B, and E form the complete analysis, automation, and persistence architecture.
Study Guide reference/topic: "Create cloud flows; Create prompts and models in AI Hub." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 87
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,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 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 # 88
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 restrict access to the specific public view to managers.
You need to configure view access.
What should you do?
Answer: B
Explanation:
Assigning the nondefault public view to the manager security role restricts its appearance in the model-driven app view selector to users who hold that role. Removing the view from app navigation affects navigation, not necessarily access to the specific view. A Quick Find view controls search presentation and is unrelated to restricting one public view. Table-level privileges secure records and operations across the table; they cannot selectively hide a particular public view while leaving other views available. Role-based system views require the environment feature to be enabled and the view must be eligible for role assignment. The view should be configured for Specific security roles, the manager role selected, and the change saved and published. This restriction controls discovery of the view, but it is not a substitute for data security: sensitive columns and records must still be protected with table, row, or column privileges because access to a view does not grant access to underlying data. Microsoft documents managing public system views through security roles.
Reference: https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/manage-view-access Study Guide alignment: Create intelligent applications.
NEW QUESTION # 89
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