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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create a foundation for intelligent applications | 25-30% | - Design Microsoft Power Platform solutions using AI-enabled tools
|
| Topic 2: Build business application logic and automation | 40-45% | - Business logic
|
| Topic 3: Create intelligent applications | 25-30% | - Create model-driven apps
|
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NEW QUESTION # 85
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: A
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 # 86
You are configuring a dashboard in a model-driven app for sales managers. The dashboard displays opportunity pipeline data from the Opportunities table.
The company requires the following functionality:
# Show how each sales stage contributes to the total pipeline for each sales region.
# Ensure a newly created chart is available to users in the app.
# Use the My Open Opportunities dataset when the dashboard component loads.
# Prevent users from switching to a different chart at runtime.
You need to create and configure the chart and dashboard component.
How should you configure the requirements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Regional contribution - Stacked column chart; Publish chart in app - Select the chart for the table in app designer; Initial dataset - Set the Default View; Prevent chart switching - Clear Display Chart Selection
A stacked column chart is appropriate because each regional column can display the sales-stage segments that compose the region's total pipeline, making both overall magnitude and stage contribution visible. A standard column chart would compare separate values but would not show composition in the same bar, while a pie chart does not compare multiple regional totals effectively. The chart must be selected for the Opportunities table in the app designer so it becomes part of the model-driven app package available to users. The dashboard component's Default View should be set to My Open Opportunities so that dataset loads initially.
To prevent runtime chart switching, Display Chart Selection must be cleared; otherwise users can choose another available chart. "Default Chart" determines which chart opens first but does not prevent selection of others. The maker should verify that the chosen view and chart are shared through the app and that users have privileges to the underlying opportunity records. The Study Guide explicitly covers "create and configure model-driven app charts and dashboards." These four settings govern visualization type, app inclusion, initial data context, and runtime choice independently.
Study Guide reference/topic: "Create model-driven apps - Create and configure charts and dashboards." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 87
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: C
Explanation:
Isolation prevents overwrites: Giving each team a separate development environment ensures they can build, edit, and test their features independently. It completely eliminates the risk of one team accidentally overwriting or breaking another team's components (like shared Cloud Flows or Dataverse tables) during active development.
Controlled production deployment: Deploying components as managed solutions into the production environment is a strict Microsoft ALM best practice. Managed solutions protect the target environment from unauthorized direct edits and allow for clean, predictable updates and rollbacks.
True parallel development: Segmenting features into individual solutions across isolated environments enables distinct release cadences for each development team.
References:
https://learn.microsoft.com/en-us/power-platform/alm/organize-solutions
NEW QUESTION # 88
A developer wants a generative AI application to consistently return responses in a structured format that another application can process automatically. Which technique should be applied?
Answer: C
Explanation:
Prompt engineering can define expected response formats, including JSON structures, fields, and formatting requirements. This improves interoperability between AI-generated responses and downstream applications. Increasing randomness reduces consistency, while removing instructions weakens model behavior control. Validation logic should complement AI output processing rather than being disabled.
NEW QUESTION # 89
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 # 90
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