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| Section | Objectives |
|---|---|
| Topic 1: Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Topic 2: Build intelligent applications on Microsoft Power Platform | - Application development
|
| Topic 3: Governance and application lifecycle management | - Responsible AI and ALM
|
| Topic 4: Implement automation and orchestration | - Process automation
|
| Topic 5: Embed agents and AI experiences | - Agent integration
|
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NEW QUESTION # 76
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 # 77
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 # 78
You are building a canvas app that connects to a third-party system by using a connector.
The third-party system returns customer-specific, eight-digit reference numbers embedded in alphabetic characters of varying length.
You need to create a formula to extract the customer reference numbers in a single string value.
How should you complete the Power Fx formula? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Match(recordID, Match.MultipleDigits, MatchOptions.Contains).FullMatch
Match returns the first match as a record, which is appropriate because the requirement asks for one reference number as a single string rather than a table of every match. Match.MultipleDigits represents a contiguous run of digits, and MatchOptions.Contains permits the numeric sequence to be found within surrounding alphabetic characters rather than requiring the entire source string to match. The FullMatch field then returns the matched numeric substring. IsMatch would return only true or false, Find would return a position, and MatchAll would return a table. The question guarantees that the embedded customer reference is an eight- digit number, so matching the digit run extracts that value; if other digit runs were possible, a stricter regular expression equivalent to exactly eight digits would be safer. The app should also handle Blank when no match exists. Microsoft documents Match as returning a match record, predefined digit patterns, the Contains option, and FullMatch as the text matched by the complete pattern.
Reference: https://learn.microsoft.com/en-us/power-platform/power-fx/reference/function-ismatch Study Guide alignment: Create intelligent applications.
NEW QUESTION # 79
Drag and Drop Question
An insurance company is implementing a customer service solution in Microsoft Dataverse to track interactions and manage issue resolution. The data model includes tables for customer information, support cases, and agents.
The data model includes the following requirements:
- Link each support case to a customer.
- Provide information on the children of customers.
- Record history of agents assigned to customers.
You need to configure table relationships.
Which relationships should you use? To answer, move the appropriate relationship to the correct requirement. You may use each relationship 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:
Box 1: One-to-many
To link each support case to a specific customer in Microsoft Dataverse, you should use a One- to-many (1:N) relationship. This allows one customer (Account or Contact) to be associated with multiple support cases over time, while each individual case is linked to exactly one customer.
Box 2: One-to-many
You should use a One-to-many relationship.
Parent to Children: One customer (parent) can have multiple children.
Child to Parent: Each child belongs to only one customer (parent) in this specific structural context.
Note: Both the children parents could be customers, in which case a many-to-many relation could be considered.
Box 3: Connections
To record a history of multiple agents assigned to multiple customers over time, you should use Connections.
Tracks Historical Data: Standard Dataverse relationships (like One-to-Many) only show the current assignment. Connections let you keep a running log of past and present relationships.
Many-to-Many Behavior: An agent can be linked to many customers, and a customer can have many agents over time.
Adds Context: Connections allow you to assign "Connection Roles" (e.g., "Primary Agent,"
"Backup Agent," "Former Agent") and include start/end dates for when the agent was assigned.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/create-edit-entity-relationships
https://learn.microsoft.com/en-us/power-apps/developer/data-platform/connection-entities
NEW QUESTION # 80
Hotspot Question
A company runs Power Automate cloud flows in production.
You observe many duplicate executions and 401 error codes when you review the flow runs.
You need to resolve the errors.
How should you address each error? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Reauthenticate connection
A 401 (Unauthorized) error in production typically means a connection's authentication token is expired, the account lacks permissions, or a password change invalidated the OAuth token. To restore the flow, fix the underlying connection.
How to Fix Authentication Failures
1. Check Run History: In the Power Automate Run History, open the failed flow run to identify exactly which action is returning the 401 error.
*-> 2. Re-authenticate the Connection
Box 2: Enable concurrency control
To fix duplicate executions in production Power Automate cloud flows, you should Enable concurrency control and set the limit to 1.
The Root Cause: Duplicate executions usually happen when an upstream system sends multiple rapid requests, or a trigger fires twice before the first run finishes.
The Solution: Enabling concurrency control with a limit of 1 forces the flow to process only one run at a time. Subsequent triggers are queued up orderly, preventing overlapping actions and race conditions.
Reference:
https://learn.microsoft.com/en-us/troubleshoot/power-platform/power-automate/flow-run-issues/triggers-troubleshoot
NEW QUESTION # 81
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