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| Section | Weight | Objectives |
|---|---|---|
| Create intelligent applications | 25-30% | - Create model-driven apps
|
| Build business application logic and automation | 40-45% | - Create cloud flows
|
| Create a foundation for intelligent applications | 25-30% | - Build data models in Dataverse
|
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NEW QUESTION # 46
You are building a model-driven app that uses a Microsoft Dataverse table named Accounts. Sales representatives use the app to manage customer records.
Sales representatives report that too many records are displayed, including inactive and unrelated accounts where the sales representative isn't the record owner.
You need to ensure only relevant records are displayed for the users.
What are two ways to complete the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
Security-role-based view access and view filters address different parts of the record-display problem. A view filter constrains the rows returned-for example, Status equals Active and Owner equals Current User-so inactive or unrelated accounts do not appear. Security roles can restrict which public views are available to particular audiences, preventing users from selecting a broader view that was not designed for them. Defining view columns only changes which fields are shown; it does not reduce the number of records. App settings do not provide the row-specific query criteria. Configuring a status column supplies data that a filter can test but does not itself filter the view. Dataverse row-level privileges remain the security boundary: a filtered view improves relevance but should not be treated as protection against access through another query or API. The role should therefore also implement the intended record access depth. The AB-410 Study Guide covers
"create and configure views," "configure access to forms and views," and "configure security." Options C and E combine audience-appropriate view availability with the query criteria needed to show the relevant records.
Study Guide reference/topic: "Create model-driven apps - Create and configure views." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 47
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 # 48
A company is building a prompt about product specifications. The company plans to use the prompt in Power Automate.
The prompt must use Retrieval-Augmented Generation to ground the model with additional business information.
You need to select the available knowledge source for the prompt.
What should you use?
Answer: A
Explanation:
Dataverse table columns are the appropriate knowledge source for a prompt that must use Retrieval- Augmented Generation with current business information. Grounding the prompt with selected Dataverse data allows the model to incorporate governed product specifications at runtime instead of relying only on its pretrained knowledge. The maker can identify the relevant table and columns and then pass or retrieve the business context required by the prompt. A PNG image is an input artifact, not the structured knowledge source needed for specification retrieval. Plain text can provide fixed instructions or context but does not create a maintained enterprise data source. A PDF can be useful in other grounding experiences, but under the available prompt knowledge options in this scenario, the Dataverse table provides the direct, structured, updateable source. Access remains subject to environment and table security, so only approved data should be exposed to the prompt. The AB-410 Study Guide explicitly measures the ability to "add knowledge to a prompt." Selecting Dataverse table columns implements that objective while minimizing duplication of product data.
Study Guide reference/topic: "Create prompts and models in AI Hub - Add knowledge to a prompt." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 49
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 # 50
A company uses a Dataverse table to manage support cases.
You must provide employees with a summary of case information derived from multiple columns without requiring a manual review of the data.
The solution has the following requirements:
# Generate a case summary following the given instructions.
# Include the context of the current record in the generated output.
You need to configure the solution.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
The maker should define a prompt that references the support-case fields and create the destination column with the Prompt data type. The prompt contains the instructions for producing the case summary and declares the record inputs needed to ground that output. The prompt column then makes the generated summary available in the Dataverse/model-driven app context for the current row. A formula column performs deterministic Power Fx computation and cannot generate a natural-language summary from multiple fields. A business rule can set or validate values, but it does not invoke a generative model. The prompt should limit inputs to the approved columns, specify the required structure, and handle empty or contradictory case data so the generated content remains useful. Security on the source fields must still be respected, because an AI- generated summary must not become a route around restricted data. The AB-410 Study Guide lists "configure prompt columns" under Build data models and "add inputs to a prompt" under AI Hub. Options A and D supply the instruction definition and the Dataverse column behavior required for record-context generation.
Study Guide reference/topic: "Build data models - Configure prompt columns." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 51
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