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| Section | Weight | Objectives |
|---|---|---|
| Create intelligent applications | 25-30% | - Create canvas apps
|
| Create a foundation for intelligent applications | 25-30% | - Build data models in Dataverse
|
| Build business application logic and automation | 40-45% | - AI prompts and models
|
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NEW QUESTION # 87
You need to create adoption duties for the administrative staff. What should you create?
Answer: B
Explanation:
A business process flow is designed to present a visible sequence of stages and steps on a model-driven app record. The adoption duties naturally form the ordered stages Commitment, Pre-pickup, and Pickup, with the individual signature, deposit, surgery, date, payment, and handoff tasks configured as data steps within those stages. This guides administrative staff through the required order and clearly shows current progress. A business rule performs conditional form logic such as setting values, changing visibility, making fields required, or displaying errors; it does not provide the requested multi-stage duty list and process bar. A business unit is an organizational security boundary and has no role in representing procedural steps. The supplied answer A is therefore incorrect and has been changed to B. The separate date-validation requirement can still be implemented with a business rule while the overall adoption workflow is implemented as the business process flow. Microsoft documents business process flows as a way to ensure users enter data consistently and follow the same stages when completing organizational processes.
Reference: https://learn.microsoft.com/en-us/power-automate/business-process-flows-overview Study Guide alignment: Build business application logic and automation.
NEW QUESTION # 88
A company is designing a Power Platform solution that includes a model-driven app used by customer service representatives to manage support cases.
The company is evaluating which solution component to include in the app .
The solution must meet the following requirements:
# Users must interact with system-generated responses while working within forms and views.
# Responses must reflect the current data and context in the app.
# Users must remain within the app while interacting with the solution.
You need to recommend solution components for the app.
Which two components should you recommend? Each correct answer presents a complete solution. NOTE:
Each correct selection is worth one point.
Answer: A,B
Explanation:
A Copilot Studio agent and an app assistant agent are the two components designed for contextual, in-app conversational interaction. A Copilot Studio agent can be embedded or made available within the business solution and can use configured knowledge, actions, and conversation topics to answer users while they remain in the application. An app assistant agent is intended to assist users in the context of the model-driven app and its current business data. Business rules execute deterministic form or table logic; they cannot provide a conversational response experience. Smart assist surfaces suggested knowledge articles or similar recommendations in supported customer-service scenarios, but it is not the general conversational component described by the requirements. The implementation must also govern grounding sources and security so an agent cannot reveal records the user is not authorized to access. The AB-410 Study Guide asks candidates to
"evaluate built-in agents to include in the business solution" and to integrate Copilot capabilities into model- driven experiences. Those objectives support selecting the two agent-based components rather than validation or recommendation-only features.
Study Guide reference/topic: "Design Power Platform solutions - Evaluate built-in agents." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 89
You are designing a data model for a company. The model uses only standard Microsoft Dataverse tables.
You must extend the existing Accounts and Contacts tables to support the following business requirements:
# Store an additional classification value on the Accounts table.
# Add a field that indicates a customer's engagement tier on the Contacts table.
# Create a mechanism to improve lookup performance and ensure uniqueness across selected fields.
You need to modify the tables to support the business requirements.
Which components should you use? To answer, move the appropriate components to the correct requirements.
You may use each component once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Accounts classification - Choice column; Contacts engagement tier - Choice column; Lookup performance and uniqueness - Alternate key Both classification requirements should use Choice columns. An account classification and a contact engagement tier are controlled categorical values; Choice columns provide a governed option list, validation, labels, and consistent filtering. If the same option set is needed across tables, the maker should define a reusable global choice and reference it from both columns. A Customer column is a special polymorphic lookup that can reference an Account or Contact row; it represents a customer relationship, not a tier or classification. The lookup-performance and uniqueness requirement should use an alternate key. An alternate key creates a Dataverse key definition over selected columns so integrations can identify a row by business data and Dataverse can enforce uniqueness. The original embedded answer image is intentionally preserved, but the Customer-column selection for engagement tier is technically incorrect; the verified selection is Choice column. The Study Guide covers this under "create and modify columns" and "configure table properties." The final mapping is therefore Choice column for both categorical attributes and Alternate key for the lookup/uniqueness requirement.
Study Guide reference/topic: "Build data models - Create and modify columns; Configure table properties." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 90
A company uses a prompt to generate responses based on internal support knowledge.
The company requires the prompt to minimize generation of unsupported and incorrect information while ensuring responses remain useful.
You need to tune the prompt model settings.
How should you configure the model settings?
Answer: B
Explanation:
To minimize unsupported information and ensure factual accuracy, you should decrease the temperature setting to a low value, typically between 0.0 and 0.3. Lowering the temperature forces the model to prioritize the most probable words, making the responses conservative, deterministic, and tightly aligned with your internal support knowledge base.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/optimize-prompts-topic-configuration
NEW QUESTION # 91
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: B
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 # 92
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