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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
| Topic 2: Build intelligent apps with Copilot and agents | 30% | - Create and manage agents with Copilot Studio
|
| Topic 3: Extend and secure intelligent solutions | 20% | - Deploy, monitor, and maintain solutions
|
| Topic 4: Enhance solutions with AI and automation | 22% | - Build automation with Power Automate
|
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NEW QUESTION # 13
A company uses a business process flow to manage case resolution.
The business process flow has the following requirements:
# Users must complete required data before progressing to the next stage.
# Before exiting a stage, a background process must create an approval, assign it to the record owner, and send the approval by using Microsoft Teams.
# Mandatory data entry enforcement must be part of only the business process flow itself.
You need to enforce the stage progression requirements.
How should you configure the business process flow? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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:
Require completion before progression - Set the data step as Required; Send an approval - Add a Power Automate cloud flow
The data step in the business process flow must be marked Required. That setting prevents the user from progressing past the stage until the mandatory value is supplied, while keeping the enforcement within the process as required. Setting the underlying column to Business Required would enforce entry outside the business process flow as well, which violates the stated scope. To create and send the approval, add a Power Automate cloud flow associated with the process transition or stage logic. The flow can create the approval, assign it to the record owner, and deliver the request through Microsoft Teams. A classic workflow step is a legacy mechanism and does not provide the modern Teams approval orchestration required. The cloud flow should use the row identifier and owner information from the process context, and should record approval status to avoid duplicate submissions. The Study Guide explicitly includes "configure business process flows" and "manage approvals by using cloud flows." The correct mapping combines process-local data enforcement with a cloud flow for the background approval action.
Study Guide reference/topic: "Implement business and process logic - Configure business process flows." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 14
A company is using Microsoft Dataverse.
You must integrate Dataverse with a third-party AI service. The solution requires authentication and custom request handling to send and receive data.
You need to enable the integration.
What should you do?
Answer: A
Explanation:
Building a Custom Connector is an ideal and highly appropriate solution for this scenario. It acts as a wrapper around the third-party AI's REST API, allowing you to easily handle custom requests, format payloads, and manage specific authentication methods (e.g., API Keys, OAuth
2.0) within the Power Platform.
Reference:
https://learn.microsoft.com/en-us/connectors/custom-connectors
NEW QUESTION # 15
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:
A Dataverse table is the best knowledge source for a Power Automate Retrieval-Augmented Generation (RAG) prompt handling product specifications.
Why Dataverse is better than PDF
Native Integration: Power Automate and Dataverse sit on the same Power Platform infrastructure.
This eliminates complex document parsing and connector lag.
Precise Grounding: AI models read structured rows and columns much more accurately than unstructured PDF layouts, tables, or multi-column text.
Real-Time Accuracy: Product specs change. Updating a Dataverse cell instantly updates the AI's knowledge. Modifying, re-uploading, and re-indexing a PDF creates version-control issues.
Accuracy: Minimizes model hallucinations because the AI reasons over discrete, low-code tabular data.
Reference:
https://microsoft.github.io/agent-academy/operative/08-dataverse-grounding/
NEW QUESTION # 16
A company uses Dataverse to manage customer accounts and related transaction records.
The company requires the following functionality:
Reference a single related record without performing any aggregations.
Store the relationship as part of the table definition, so the platform automatically maintains the link between records.
You need to configure a column.
Which type of column should you configure?
Answer: A
Explanation:
A Lookup column is designed to reference one row in another Dataverse table. The selected related row's identifier is stored as part of the relationship, and Dataverse maintains the association so forms, views, queries, and security behaviors can work with it consistently. The requirement explicitly excludes aggregation, which rules out a Rollup column; rollups calculate values such as sum, count, minimum, maximum, or average over related rows. A Calculated column evaluates an expression from other values, while a Formula column uses Power Fx to derive a result. Neither is the correct structural mechanism for selecting and maintaining a single related account or transaction row. The lookup's relationship should be configured with the appropriate required level, cascade behavior, and delete rule so it matches the record lifecycle. This is not merely a display field: it is a schema-level relationship component. The AB-410 Study Guide lists "create and modify columns" and "configure table relationships" under Build data models. A Lookup column is therefore the only option that natively represents the required one-record association.
Study Guide reference/topic: "Build data models - Create and modify columns." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 17
A company is building prompts in Microsoft Copilot Studio to support multiple customer service scenarios.
The company requires prompts to:
# Follow a consistent structure across use cases.
# Be reusable across multiple topics.
# Allow customization for different types of customer requests.
You need to build the prompts.
What should you do?
Answer: A
Explanation:
The maker should select an appropriate template from the prompt library and customize it for each scenario.
Templates provide a consistent starting structure and established prompt pattern while still allowing the instructions, inputs, grounding, and expected output to be adapted to a particular customer request. This balances standardization with scenario-level variation. Model settings influence behavior such as creativity or moderation, but they do not create a reusable prompt structure. Storing prompt text in ordinary topic variables duplicates unmanaged text and does not provide a governed prompt component with its own inputs and lifecycle. Creating unrelated prompts directly inside every topic would repeat structure and make maintenance inconsistent. Customized prompt components should be named clearly, added to solutions, tested against representative inputs, and versioned through ALM. Shared instructions can be kept consistent while scenario- specific requirements remain explicit. The AB-410 Study Guide contains the exact objective "build prompts from templates or from blank." Option D uses the template path for consistency and then applies the customization required for multiple service scenarios.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts from templates." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 18
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