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| Section | Objectives |
|---|---|
| Embed agents and AI experiences | - Agent integration
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Implement automation and orchestration | - Process automation
|
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NEW QUESTION # 72
A company wants to build a generative AI assistant that answers employee questions using internal policies stored in SharePoint. The assistant must provide responses based only on approved company documents. Which architecture pattern should be implemented?
Answer: B
Explanation:
Retrieval-Augmented Generation (RAG) combines a language model with external knowledge retrieval. The system searches approved documents and provides relevant context to the model before generating answers. Fine-tuning changes model behavior but does not guarantee access to current information. RAG is preferred for enterprise assistants requiring grounded responses from organizational data sources.
NEW QUESTION # 73
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result these questions will not appear on the review screen.
A company integrates external systems into Power Automate by using cloud flows.
The company must connect to external services with different characteristics and determine whether a custom connector is required.
You need to evaluate if a custom connector is necessary to meet the requirements.
Solution: A cloud flow must integrate with an internal web service that is used across multiple flows and requires reusable actions.
Does the solution meet the goal?
Answer: B
Explanation:
Correct:
* A cloud flow must integrate with an internal web service that is used across multiple flows and requires reusable actions.
This scenario requires a custom connector. Because it is a proprietary or internal service, Microsoft does not provide a pre-built native bridge. Building a Microsoft Custom Connector wraps the web service's REST/SOAP API into a reusable tool, eliminating the need to repeatedly configure HTTP headers and endpoints across separate flows.
Incorrect:
* A cloud flow must call a REST API by using a one-time HTTP action without reuse across flows.
A custom connector is not necessary here. For single-use or non-reusable integrations, using a generic built-in HTTP action step is the most efficient and fastest choice.
* A cloud flow must retrieve data from Microsoft Dataverse.
Power Automate includes a native, out-of-the-box Microsoft Dataverse connector. There is no need to develop a custom connector for default Power Platform data storage.
* A cloud flow must retrieve data from SharePoint Online lists.
SharePoint Online is fully supported by native Microsoft 365 integrations. You should use the pre- built SharePoint connector instead of creating a custom wrapper.
Reference:
https://alphavima.com/blog/power-apps-custom-connector-rest-api/
NEW QUESTION # 74
A company uses a prompt to generate responses based on internal support knowledge.
The company requires the prompt to minimize generation of unsupported and incorrect information while ensuring responses remain useful.
You need to tune the prompt model settings.
How should you configure the model settings?
Answer: D
Explanation:
Decreasing temperature makes the model's output more deterministic and less exploratory. For a support- knowledge prompt, that reduces variation and lowers the probability that the model invents unsupported wording when the same grounded information is supplied. Increasing temperature would encourage broader token selection and is counter to the requirement for reliable, repeatable answers. Content moderation level addresses detection or blocking of potentially harmful material; it is not the primary control for factual grounding or generation variance. Increasing moderation can be appropriate for safety policy, but it does not make a response more faithful to the internal knowledge source. The prompt should also contain precise instructions, approved grounding content, explicit handling for missing information, and a direction not to infer facts that are absent. Temperature is one control within that broader prompt-quality design. The Study Guide includes "customize prompt settings, including models" and "add knowledge to a prompt." Option C is the model-setting change that directly supports stable, conservative generation while retaining useful grounded responses.
Study Guide reference/topic: "Create prompts and models in AI Hub - Customize prompt settings." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 75
You are modifying a model-driven app. You set up a customer table in Microsoft Power Platform to retrieve user data.
You set up a form with the following columns for users to enter their data .
The form includes the following columns:
The form must do the following:
# The Country/region column must automatically populate with US when English is chosen as a language. If the user selects Other for this column, the column must remain blank so that user can enter a value.
# The Passport expiration date column must appear only if the user selects Yes in the Passport ownership column.
You need to configure the app with the least amount of effort.
What should you configure? To answer, drag the appropriate solution component to the correct requirements.
Each solution component may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Country/region population - Power Automate flow; Passport expiration visibility - Business rule The Country/region population should use a Power Automate flow, while passport-expiration visibility should use a business rule. A flow triggered by the row change can inspect the selected language values, set US when English is present, and leave Country/region blank when Other is selected. The passport requirement is ordinary form behavior: when Passport ownership equals Yes, a business rule can show the expiration-date control; otherwise it can hide it. That gives immediate client-side feedback with minimal code. The original embedded answer image assigns both requirements to business rules; it is preserved unchanged, but the verified first mapping is Power Automate flow. The flow must avoid a trigger loop by filtering changed columns or checking whether an update is necessary. The Study Guide covers business rules, cloud-flow triggers, and business-logic use-case evaluation. The corrected mapping respects both feature support and execution timing.
Study Guide reference/topic: "Implement business and process logic - Configure business rules and flows." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 76
A company is implementing uniform data validation across multiple forms.
The company has the following business logic requirements:
# Enforce validation across multiple forms.
# Minimize logic duplication.
You need to implement business logic.
What are three approaches you can use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. (Choose three.)
Answer: B,C,E
Explanation:
Business rules, Power Fx functions, and client scripting can each centralize reusable validation when applied at the correct layer. A table-scoped business rule can enforce supported conditions and actions across forms and server-side row operations, reducing form-by-form duplication. A reusable Power Fx function can encapsulate validation logic for canvas-app callers so the expression is maintained once. A JavaScript function packaged as a web resource can be registered across multiple model-driven forms when the validation requires client APIs or behavior not available declaratively. Automated and instant cloud flows run outside the immediate form-validation transaction and cannot reliably prevent the current save with an inline response; they are better for background orchestration or user-triggered processes. The chosen mechanism must match the need for server enforcement versus user-interface feedback. If a validation protects data integrity regardless of entry channel, Dataverse-level declarative or server logic is stronger than client-only code. The Study Guide covers "configure business rules" and "evaluate use cases for business logic." A, B, and D are the three options capable of providing reusable validation logic in the described app contexts.
Study Guide reference/topic: "Implement business and process logic - Evaluate use cases for business logic." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 77
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