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| Section | Objectives |
|---|---|
| Implement automation and orchestration | - Process automation
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Embed agents and AI experiences | - Agent integration
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
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NEW QUESTION # 72
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: A
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 # 73
A company maintains a Power Platform solution that includes prompts, cloud flows, and Dataverse components. Multiple development teams are responsible for different features within the solution.
The development teams have the following requirements:
- Teams must develop and update the same features independently.
- Updates must not overwrite changes made by other teams.
- Production deployments must remain controlled and predictable.
You need to recommend an ALM approach that supports independent development and controlled deployment in line with Microsoft best practices.
What should you recommend?
Answer: C
Explanation:
Isolation prevents overwrites: Giving each team a separate development environment ensures they can build, edit, and test their features independently. It completely eliminates the risk of one team accidentally overwriting or breaking another team's components (like shared Cloud Flows or Dataverse tables) during active development.
Controlled production deployment: Deploying components as managed solutions into the production environment is a strict Microsoft ALM best practice. Managed solutions protect the target environment from unauthorized direct edits and allow for clean, predictable updates and rollbacks.
True parallel development: Segmenting features into individual solutions across isolated environments enables distinct release cadences for each development team.
References:
https://learn.microsoft.com/en-us/power-platform/alm/organize-solutions
NEW QUESTION # 74
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 # 75
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:
To natively consume an AI Builder model and generate predictions during user interaction using Power Fx, you must use the Predict function.
Reference:
https://learn.microsoft.com/en-us/ai-builder/use-in-powerapps-overview
NEW QUESTION # 76
A development team wants to improve an AI application's responses by providing specific instructions about tone, role, and expected behavior. Which prompt component should be used?
Answer: C
Explanation:
System messages define the behavior, role, and constraints of an AI assistant. They establish high-level instructions that guide model responses throughout conversations. Database indexes and storage resources manage information access but do not directly control model behavior.
Network routes only affect communication paths.
NEW QUESTION # 77
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