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| Section | Objectives |
|---|---|
| Topic 1: Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Topic 2: Build intelligent applications on Microsoft Power Platform | - Application development
|
| Topic 3: Implement automation and orchestration | - Process automation
|
| 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 # 90
A company develops and deploys AI-enabled Power Platform solutions across multiple environments.
Environment access is controlled through security groups.
The development team requires Power Platform environments to store, manage, and share the solutions across the company.
All developers require access to the same environment. The environment must be subject to ALM controls.
You need to set up the environments.
Which environment types should you use? To answer, move the appropriate environment types to the correct requirements. You may use each environment type 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:
Build and validate new features - Sandbox; Host stable workloads - Production
A Sandbox environment is appropriate for building and validating new features. It supports development and testing activities while isolating unfinished work from operational users and production data. It can be reset, copied, placed in administration mode, or otherwise managed for lifecycle work without treating it as the stable system of record. A Production environment is intended to host the approved business workload, with controlled access, monitoring, backup, and managed solution deployment. The Default environment is automatically available to users in a tenant and is not the recommended controlled development or enterprise- production boundary. A Developer environment is designed for an individual maker rather than the shared development team described in the scenario. Security groups can restrict membership, but the environment type still needs to reflect its lifecycle purpose. The team should also use solutions and deployment pipelines so validation occurs before production import. The AB-410 Study Guide explicitly asks candidates to
"recommend environment types" and "apply a Microsoft Power Platform solution and ALM strategy." Sandbox for build/validation and Production for stable workloads is the aligned environment architecture.
Study Guide reference/topic: "Design Power Platform solutions - Recommend environment types." AB-410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 91
A developer creates an intelligent document processing solution that extracts invoice numbers, vendor information, and payment totals from scanned PDF files. The documents have different layouts depending on the supplier. The solution should minimize manual model training while supporting structured extraction. Which service should be selected?
Answer: A
Explanation:
Azure AI Document Intelligence is specifically designed for extracting structured information from documents with varying layouts. It provides prebuilt and custom models for invoices, receipts, and forms. OCR only extracts text without understanding document structure. Azure AI Search and embeddings improve retrieval scenarios but do not directly perform document field extraction.
NEW QUESTION # 92
Hotspot Question
A company processes customer orders by using a cloud flow.
The flow must evaluate the following conditions:
- Route orders for approval when the OrderTotal exceeds 1,000.
- Flag orders when the CustomerName identifies the string "VIP".
You need to configure flow conditions.
Which expressions should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: greater..
To configure the flow condition in Power Automate, you should use the expression greater(outputs('Get_order_details')?['body/OrderTotal'], 1000) (assuming your action is named Get_order_details).
If you are using the standard visual condition builder, select the OrderTotal dynamic content on the left, choose the operator is greater than, and enter 1000 on the right Box 2: contains..
To configure the flow condition to flag orders where the CustomerName contains or equals "VIP", you should use the contains expression or the equals expression depending on the exact matching requirement.
*-> Partial Match: If you want to flag any customer name that includes the letters "VIP" anywhere in the string (e.g., "VIP Logistics", "John VIP Doe"), use the contains operator.
Exact Match: If you only want to flag when the name is exactly "VIP" and nothing else, use the equals operator.
In the Power Automate condition builder, you can write these as advanced expressions or select them from the dynamic content dropdown:
For a Partial Match: contains(triggerBody()?['CustomerName'], 'VIP')
Reference:
https://go.collab365.com/how-to-use-the-condition-control-action-in-power-automate
https://www.reddit.com/r/MicrosoftFlow/comments/mzq0z2/how_to_use_contains_in_a_condition/
NEW QUESTION # 93
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 # 94
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: A
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 # 95
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