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| Section | Weight | Objectives |
|---|---|---|
| Build intelligent apps with Copilot and agents | 30% | - Integrate Copilot into canvas and model-driven apps
|
| Extend and secure intelligent solutions | 20% | - Deploy, monitor, and maintain solutions
|
| Enhance solutions with AI and automation | 22% | - Use AI Hub models and pre-built capabilities
|
| Create a foundation for intelligent applications | 28% | - Design solutions using AI-enabled tools
|
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NEW QUESTION # 41
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: B
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 # 42
You create a parent entity and a child entity. The parent entity has a 1: N relationship with the child entity.
You need to ensure that when the owner changes on the parent record that all child records are assigned to the new owner.
You need to configure the relationship behavior type.
What should you use?
Answer: C
Explanation:
Parental relationship behavior is required because ownership changes on the parent must cascade to all related child rows. In a one-to-many Dataverse relationship, Parental behavior treats the child records as dependent on the parent for supported cascading operations. When the Assign action changes the owner of the parent row, the related child rows are assigned to that new owner as part of the platform operation. Referential behavior preserves the link but does not provide the required assign cascade. Referential, Restrict Delete changes deletion behavior and still does not cause child ownership to follow the parent. "Restrict" by itself is not the relationship behavior option that implements the assignment requirement. Before applying Parental behavior, the designer should confirm that cascading other actions-especially delete, share, unshare, and reparent-matches the business rules, because Parental establishes a broader dependent-record model. If only selected actions should cascade, a configurable cascading relationship is preferable. Under the options supplied, Parental is the only complete answer. The Study Guide specifically measures the ability to
"configure table relationships," which includes selecting cascade behavior based on ownership and lifecycle requirements.
Study Guide reference/topic: "Build data models - Configure table relationships." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 43
A company plans to implement an automated process to retrieve and analyze customer feedback.
The company requires a solution that:
# Autonomously analyzes feedback.
# Stores results for reporting.
# Triggers an escalation for negative sentiment.
You need to design the solution.
Which three components should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. (Choose three.)
Answer: B,C,E
Explanation:
The solution requires an AI Builder prompt, a cloud flow, and a Dataverse table. The prompt performs the autonomous semantic analysis of each feedback item, including sentiment or other instructed classifications.
The cloud flow supplies the event-driven orchestration: it retrieves new feedback, calls the prompt, interprets the result, writes the output, and branches to an escalation action when sentiment is negative. Dataverse provides persistent, queryable storage for the original feedback, model result, status, and reporting fields. A canvas app may be useful for reviewing results but is not required for autonomous execution. A business rule can validate or adjust Dataverse data but cannot independently call the generative model and orchestrate external escalation. The flow should include explicit failure handling, confidence or result validation, and an idempotent design so retries do not create duplicate escalations. Approved data policies must also permit the connectors used by the flow. The Study Guide covers "consume a prompt in cloud flows," "configure cloud flow actions," and the creation of Dataverse-backed business solutions. A, B, and E form the complete analysis, automation, and persistence architecture.
Study Guide reference/topic: "Create cloud flows; Create prompts and models in AI Hub." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 44
An accounting team is assigned to a model-driven app to manage financial data.
The app is currently visible in the app launcher but inaccessible to the accounting team.
Users must be able to:
# Open the app.
# Access and record financial data.
You need to resolve the access issues.
What should you do?
Answer: A
Explanation:
Assigning the appropriate security roles is the complete action because model-driven app access and Dataverse data access are both role driven. The app must be shared with the role, and the role must grant the accounting team the table privileges required to read and create or update the financial records. Configuring app visibility privileges alone may make the app tile appear, but it does not establish the underlying table rights. Setting an app as default affects navigation or launch preference and does not grant access. Granting table-level permissions is only one part of the required configuration and, in Dataverse, those privileges are normally delivered through a security role; option C represents the combined mechanism expected by the question. The administrator should use least privilege, choose the correct access depth, and include privileges for dependent tables and processes used by the app. Existing visibility in the launcher is not proof of effective authorization. The AB-410 Study Guide includes both "configure access to model-driven apps" and
"configure security." Appropriate role assignment aligns the user, the shared app, and the table operations in one enforceable access model.
Study Guide reference/topic: "Create model-driven apps - Configure access to model-driven apps." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 45
You need to implement a generative AI solution that meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
The solution should use a prebuilt AI capability where it satisfies the complaint-processing requirement and create the generative prompt from blank for the organization-specific inspection report. Using a prebuilt model minimizes custom model development and training effort, which directly reflects the stated constraint.
A blank custom prompt gives the maker control over the inspection template, instructions, inputs, tone, and output format required by the business. Starting from a prompt template can accelerate common scenarios, but the case requires alignment to an existing custom inspection format; a blank prompt avoids carrying irrelevant template assumptions and permits deliberate grounding. Building a custom trained model would add data preparation, training, validation, and lifecycle overhead that the requirement seeks to minimize. The prompt should define required inputs explicitly and be tested with representative data to prevent the inconsistent output problem identified in the case. The Study Guide covers "build prompts from templates or from blank,"
"add inputs to a prompt," and consumption of AI capabilities in apps and flows. Options A and C provide the lowest-custom-development design that still supports the specific generative output.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts and consume AI capabilities." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 46
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