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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Extend and secure intelligent solutions | 20% | - Secure access and data
|
| Topic 2: Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
| Topic 3: Build intelligent apps with Copilot and agents | 30% | - Create and manage agents with Copilot Studio
|
| Topic 4: Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
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NEW QUESTION # 144
You make the following customizations to a Microsoft Dataverse environment:
- Create a new table.
- Add data to the new table.
- Delete an unused area from the site map.
The components must be transported to a different environment.
You need to determine the method required to transport each component.
Which method should you use?
Exhibit:
Answer:
Explanation:
Explanation:
New table - Solution; data for the new table - Configuration Migration Tool; site map - Solution.
Microsoft Power Platform solutions transport application metadata and components, including Dataverse table definitions and model-driven application site maps, between environments. Therefore, both the new table and the modified site map should be included in a solution. The Configuration Migration Tool is designed to transfer configuration and reference data between Dataverse environments using an export schema. Unlike solutions, it transports selected records rather than application component definitions. The SolutionPackager Tool performs a different function: unpacking and repackaging solution files, primarily for source control, version management, and automated build processes. It does not independently deploy application components. By selecting the appropriate migration method for each component, organizations can maintain data integrity, reduce deployment risks, and implement a structured application lifecycle management strategy across development, testing, and production environments.
NEW QUESTION # 145
Case Study 1 - Contoso, Ltd
Background
Contoso Ltd. is a global renewable energy provider that operates wind farms and solar installations. The company is modernizing its maintenance and operations platform. The company plans to implement a Microsoft Power Platform solution for the operations team. The implementation will include Microsoft Dataverse, a model-driven app, and Power Automate cloud flows.
The company is building and testing a new model-driven app named Operations. The solution will support operations managers, regional coordinators, and field technicians. The app must integrate with an external cloud-based system that manages onboarding of field technicians.
Contoso Ltd. plans to improve data quality and enforce consistent business logic across the app and automation processes.
Technical environment
Contoso Ltd. has an Identity and Access Management (IDAM) department that manages security.
The company has one Power Platform environment named Production, where all building and configuration take place. Auditing is disabled.
The Production environment has the following security configurations:
- IDAM has a Microsoft Entra security group named Contoso Ltd. QA. This security group will assign all members a Power Apps license.
- IDAM created a Quality Assurance security role that grants read and write access to all custom tables.
- IDAM also created a team named Testers in Dataverse, of a Microsoft Entra group team type.
The team is configured for the Contoso Ltd. QA security group. The Testers team is assigned the Quality Assurance security role.
Microsoft 365 environment
All Contoso Ltd. managers are included in a Microsoft 365 group named Managers. The group is NOT enabled for email.
The company shares a SharePoint list with a key customer: Alpine Ski House. Alpine Ski House staff members can add new maintenance requests, which are then checked and marked as reviewed by Contoso Ltd.
Current issue:
A new QA tester joins Contoso Ltd. The IDAM department adds the new tester to the Contoso Ltd. QA security group. However, the new tester is not listed in the Testers team as a member.
Other applications:
A separate software-as a-service (SaaS) solution named TechCheck manages technician onboarding. The TechCheck solution is set up as follows:
- TechCheck assigns a unique number named Ref to all technicians.
- Users cannot make changes to the TechCheck data model.
- Users cannot use the same TechCheck ref on more than one Technician row.
Automation requirements
Contoso plans to use Power Automate to develop a Maintenance Request Approval flow. The flow must meet the following requirements:
- Create a Maintenance Request row in Dataverse when either of the following occurs:
- An item is added to the SharePoint list by the customer with the Priority property set to High.
- Any item is checked and marked as reviewed by a Contoso Ltd. representative.
- Seek maintenance request approvals from managers through both email and a Microsoft Teams message after they have been reviewed:
- Requests require approval from all managers.
- If one manager rejects the request, approval must not be granted.
- The result of the approval request must be sent to the initial reviewer in an email. The subject line must set the response as either Approve or Reject.
Contoso Ltd. requires the following table logic:
- If a user tries to enter a price greater than the cost on a new Asset row, the row must display an inline error message.
- If a user tries to save changes to a Technician row where the TechCheck ref column is empty, the action must be prevented and a message explaining the action must be displayed.
Any updates made to Technician profiles in TechCheck must be mirrored in Dataverse by using a custom integration. The developers building the integration require an index for performant searches on the Technician table.
Data model and app design
Contoso Ltd. plans to use Dataverse as its central data platform. Log storage must be minimized.
Tables
The following tables are required for data modeling and the app design:
- Assets: Stores information about solar panels and wind turbines
- Maintenance Requests: Tracks issues and maintenance activities. The table must include the following columns:
- Request ID (auto-number)
- External Request Code (text)
- Assigned
- Technician (lookup to Technicians)
- Report (lookup to Maintenance Reports)
- Technician updated (Yes/No)
- Maintenance Reports: Tracks the results of maintenance reports
- Technicians: Stores technician assignment data. The table must include the following columns:
- Full Name (Text)
- Mobile phone number (Text)
- Email (Text)
- Seniority (Choice)
- TechCheck ref (Text)
Data modeling
The data model must provide the following functionality:
- Maintenance Requests must:
- be uniquely identifiable across systems.
- have two inactive statuses, Cancelled and Duplicate.
- If a new option is added to an existing set of options, it must be made available automatically for selection on all columns that use the set.
- A new column named Priority must be added to multiple tables. Users must be able to select only one option from the following set per row:
- Low
- Medium
- High
- Critical
Changes to the Technician column on Maintenance Requests must be tracked for compliance purposes. Rows must include the names of previous and current technicians and the time of the change.
Relationship requirements
- One asset can be related to many maintenance requests. A maintenance request can have many assets.
- A maintenance request can have only zero or one maintenance report.
- Only one Technician can be related to a Maintenance Request at a time.
- When a Maintenance Request is deleted, any Maintenance Reports associated with it must also be deleted, but this action should be prevented if there is value in the Technician lookup.
- When a Maintenance Request is assigned to a different owner, the Maintenance Report associated with it must be reassigned to the new owner as well, but the associated Technician should stay with the current owner.
App design
The Technicians table contains the following public views:
- Senior Technicians
- Junior Technicians
The Senior Technician view must be available through the table list view selector to a set of specific users only.
A tester creates a personal view named Hot Assets on the Assets table. The tester recognizes that the view is useful for the entire testing team. The view must be made accessible to the team.
You need to add the Priority column to the Maintenance Request table. Which column type should you use?
Answer: C
Explanation:
The most appropriate column type for storing priorities with these specific values is a global choice (or a local choice if the priority list is completely unique to this table). Between the two choice options, a global choice is generally preferred in Dataverse for standard attributes like priority so that the same definition can be reused consistently across multiple tables (e.g., Tasks, Cases, and Projects).
Scenario:
A new column named Priority must be added to multiple tables. Users must be able to select only one option from the following set per row: Low, Medium, High, Critical.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/formula-columns?tabs=type-or-paste
NEW QUESTION # 146
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,C
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 # 147
A company builds a cloud flow that analyzes customer messages by using a custom prompt.
You must build the following functionality into the prompt:
- Start the workflow process.
- Prepare message data for the prompt.
- Evaluate the data by using the prompt.
- Store the analysis results.
You need to configure the prompt execution.
Which actions should you perform? Move the appropriate actions to the correct requirements. You may use each action once, more than once, or not at all.
Exhibit:
Answer:
Explanation:
Explanation:
Define trigger event # Configure data parameters # Execute prompt # Set output in variable.
Power Automate enables organizations to incorporate AI Builder prompts into automated business processes.
The workflow must begin with a trigger that determines when customer message processing starts. Next, data parameters are configured to supply the prompt with appropriate information, such as message content, customer details, or contextual instructions. Once the necessary inputs are available, the Run a prompt action executes the generative AI instructions and produces an output containing the analysis results. The output can subsequently be assigned to a variable for use by additional flow actions, including storing information, updating Dataverse records, or sending notifications. Configuring prompt inputs before execution ensures that the generative AI model receives the information necessary to evaluate each message. This sequence supports reusable prompts, consistent data processing, and reliable integration with downstream automation activities.
NEW QUESTION # 148
Maintenance metrics are not consistently calculated across related rows.
You need to provide a solution for field technicians to create custom inspection reports natively within the new app.
What should you do?
Answer: C
Explanation:
A custom prompt is the native low-code mechanism for generating an inspection report from current app data while following the company's existing template instructions. The maker can define inputs for the inspection fields, specify required sections, tone, order, and formatting, and invoke the prompt from the new app. This keeps the report-generation experience within Power Platform and minimizes custom AI development. A paginated report is well suited to deterministic, pixel-precise reporting, but it does not perform the requested generative composition and generally presents a separate reporting artifact. A Word template performs deterministic field substitution and is useful when no generative rewriting is required; it does not supply the AI-driven custom narrative described in the case. The prompt should be grounded only with approved inspection data, tested for missing inputs, and reviewed for output consistency before production use. The Study Guide covers "build prompts," "add inputs to a prompt," and "consume a prompt in apps." Option C is therefore the component that directly implements native generative inspection-report creation.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume a prompt in apps." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 149
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