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| Section | Objectives |
|---|---|
| Topic 1: Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Topic 2: Implement automation and orchestration | - Process automation
|
| Topic 3: Build intelligent applications on Microsoft Power Platform | - Application development
|
| Topic 4: Embed agents and AI experiences | - Agent integration
|
| Topic 5: Governance and application lifecycle management | - Responsible AI and ALM
|
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NEW QUESTION # 27
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 # 28
A company is designing a Power Platform solution that includes a model-driven app used by customer service representatives to manage support cases.
The company is evaluating which solution component to include in the app .
The solution must meet the following requirements:
# Users must interact with system-generated responses while working within forms and views.
# Responses must reflect the current data and context in the app.
# Users must remain within the app while interacting with the solution.
You need to recommend solution components for the app.
Which two components should you recommend? Each correct answer presents a complete solution. NOTE:
Each correct selection is worth one point.
Answer: A,C
Explanation:
A Copilot Studio agent and an app assistant agent are the two components designed for contextual, in-app conversational interaction. A Copilot Studio agent can be embedded or made available within the business solution and can use configured knowledge, actions, and conversation topics to answer users while they remain in the application. An app assistant agent is intended to assist users in the context of the model-driven app and its current business data. Business rules execute deterministic form or table logic; they cannot provide a conversational response experience. Smart assist surfaces suggested knowledge articles or similar recommendations in supported customer-service scenarios, but it is not the general conversational component described by the requirements. The implementation must also govern grounding sources and security so an agent cannot reveal records the user is not authorized to access. The AB-410 Study Guide asks candidates to
"evaluate built-in agents to include in the business solution" and to integrate Copilot capabilities into model- driven experiences. Those objectives support selecting the two agent-based components rather than validation or recommendation-only features.
Study Guide reference/topic: "Design Power Platform solutions - Evaluate built-in agents." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 29
A company is building prompts in Microsoft Copilot Studio to support multiple customer service scenarios.
The company requires prompts to:
- Follow a consistent structure across use cases.
- Be reusable across multiple topics.
- Allow customization for different types of customer requests.
You need to build the prompts.
What should you do?
Answer: A
Explanation:
To best fulfill your requirements, you should create prompts by selecting templates from the prompt library and customizing them for each scenario.
The Microsoft Copilot Studio Prompt Library provides pre-built, standardized formats specifically designed to enforce a consistent structure. By taking a library-first approach and adding input/output parameters, you can build a modular system where a single base prompt is easily customized and reused across multiple topics.
Incorrect:
[Not A]
Configuring prompt model settings, on the other hand, only dictates the underlying LLM variant (e.g., GPT-4o) and generic runtime attributes, which does not solve for structural logic, reusability, or scenario customization.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/prompt-library
NEW QUESTION # 30
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 process user-submitted images natively within a canvas app using an existing AI Builder model, you should Call the model from app logic.
By adding the AI model as a data source and calling its .Predict() method in your Power Fx formulas, the app evaluates the images dynamically while the user interacts with it.
Reference:
https://learn.microsoft.com/en-us/ai-builder/powerfx-in-powerapps
NEW QUESTION # 31
A company uses a cloud flow to analyze incoming order form PDFs attached to emails.
The cloud flow must use an AI model to extract information from each order. The information must then be added to the enterprise resource planning (ERP) system.
You need to configure the flow.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
The flow must add the AI Builder Process documents action and configure its model, document type, and document input. Process documents is the action associated with a trained document-processing model; it reads the attached PDF and returns the fields or tables defined by that model. The flow then maps those outputs to the ERP connector or API operation. Extract standard entities processes plain text for predefined entities and is not the document-field extraction operation described. Classify into standard categories assigns text categories rather than extracting order data. Specifying language and text belongs to text-processing actions and does not provide the required PDF/model configuration. The flow should retrieve attachment content, pass the binary document in a supported format, validate confidence scores or missing fields, and send failed documents to an exception path rather than silently writing incomplete ERP data. The Study Guide explicitly includes "consume an AI model in cloud flows" and "configure cloud flow actions." Options C and E provide the required model invocation and action configuration for document extraction.
Study Guide reference/topic: "Create prompts and models in AI Hub - Consume an AI model in cloud flows." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 32
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