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| Section | Weight | Objectives |
|---|---|---|
| Build business application logic and automation | 40-45% | - Create cloud flows
|
| Create intelligent applications | 25-30% | - Create model-driven apps
|
| Create a foundation for intelligent applications | 25-30% | - Build data models in Dataverse
|
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NEW QUESTION # 127
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.
Drag and Drop Question
You need to configure the access requirements to the views.
Which configurations should you use? To answer, move the appropriate configurations to the correct views. 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:
Box 1: Security roles
To restrict a public view to a specific set of users within the table list view selector, you should use Security roles.
Microsoft Dataverse includes a native feature called role-based system views. This capability allows system administrators and makers to manage public view access directly within the view settings.
Scenario:
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.
Box 2: Sharing
Sharing is the correct view access configuration to use.
Personal Views: These belong to individual users and cannot be assigned to security roles or business units.
Direct Control: Sharing allows the owner to grant specific permissions to other users or teams without changing record ownership.
Scenario:
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.
Reference:
https://learn.microsoft.com/en-us/power-apps/maker/model-driven-apps/manage-view-access
NEW QUESTION # 128
A company uses a canvas app to manage a data submission process.
The app must be able to manage data submission failures and display messages to users about the errors.
You need to use Power Fx to configure failure and message management.
Which Power Fx functions should you configure?
Exhibit:
Answer:
Explanation:
Explanation:
Manage submission failures - IfError; Provide user-facing error feedback - Notify.
Microsoft Power Fx includes dedicated functions for managing runtime failures and communicating important information to application users. The IfError function evaluates an expression and executes alternative logic when an error occurs. It is particularly useful with data operations such as Patch, Collect, and SubmitForm, where failures may result from validation problems, insufficient permissions, or connection issues. The Notify function displays a temporary notification banner within a canvas app. Notifications can use different types, including Error, Warning, Success, and Information. Combining IfError with Notify enables developers to detect failed operations and immediately present understandable error messages to users. For example, IfError can intercept an unsuccessful record update and invoke Notify with an appropriate error message. This approach supports responsive application behavior, improves usability, and provides a consistent mechanism for handling submission failures.
NEW QUESTION # 129
A company uses a canvas app to retrieve records from a large data source. Users report slow performance when searching and filtering data. The company requires a solution that:
* Improves performance when working with large datasets.
* Optimizes query execution.
* Enables the app to load quickly.
You need to optimize query performance. What should you do?
Answer: B
Explanation:
Deferring nonessential data loading reduces the amount of work performed during application startup and allows the first screen to become interactive sooner. Data that is needed only on later screens or after a user action should be queried when it is actually required. This avoids large OnStart collections, lowers memory consumption, and prevents unnecessary connector calls. Loading the entire dataset into a local collection is the opposite of the requirement and can hit row limits while creating long startup delays. Splitting the same large result across several collections still transfers excessive data and adds state-management complexity.
Server-side views can help constrain data, but the question ' s broad startup requirement is best addressed by delayed loading together with delegable Filter and Search formulas. Makers should use delegable predicates, request only needed columns, cache only small stable reference data, and verify behavior with App checker and Monitor. Microsoft recommends minimizing startup work and delaying noncritical calls as core canvas- app performance practices.
Reference: https://learn.microsoft.com/en-us/power-apps/maker/canvas-apps/efficient-calculations Study Guide alignment: Create intelligent applications.
NEW QUESTION # 130
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 # 131
A company builds a canvas app that processes images submitted by users and must classify them using an existing AI Builder model.
The app must generate predictions during user interaction.
You need to consume the AI model natively.
What should you do?
Answer: D
Explanation:
The app should call the existing AI Builder model from its app logic. The model is added to the canvas app and invoked from Power Fx associated with a user event such as a button selection, passing the current image as input. The returned class, confidence, or other prediction values can immediately update controls or be stored with the business record. Retraining for every image is neither required nor operationally appropriate; training is a controlled model-lifecycle activity performed with a curated dataset. Reusing a stored prediction would classify the previous input rather than the newly submitted image. Exporting a solution transports the model and app components between environments but does not execute inference. Runtime code should check that an image exists, handle prediction failures, and apply a confidence threshold or human-review path where the business decision requires it. The AB-410 Study Guide includes the exact objective "consume an AI model in apps." Option D describes that native runtime consumption and is the only action that generates a prediction during the user's current interaction.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume an AI model in apps." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 132
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