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| Section | Objectives |
|---|---|
| Embed agents and AI experiences | - Agent integration
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Implement automation and orchestration | - Process automation
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
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NEW QUESTION # 116
Fabrikam Inc. uses Microsoft Power Platform for asset maintenance and technician workflows. The company plans to introduce generative AI capabilities.
The company requires a generative AI solution to generate responses to customer complaints based on emails received in a mailbox. The responses must be generated within applications, and custom AI development must be minimized.
You need to generate the customer complaint response based on Fabrikam Inc. ' s requirements.
Which action should you use?
Answer: A
Explanation:
The Run a prompt action enables Power Automate to execute generative AI instructions and produce contextual text using AI Builder. In this scenario, an automated cloud flow can monitor an email mailbox, retrieve an incoming customer complaint, and pass its content into a predefined prompt. The prompt can specify response requirements, including professional tone, structure, relevant customer information, and instructions for addressing the complaint. Its generated output can then be processed by subsequent workflow actions, such as creating an email draft or requesting human approval. This approach minimizes custom AI development because makers configure reusable prompts instead of training custom machine learning models.
Populating a Word template primarily generates documents, while document-processing actions extract information rather than compose contextual responses. Microsoft documentation identifies Run a prompt as the supported action for executing AI Builder prompts in Power Automate.
NEW QUESTION # 117
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: D
Explanation:
The maker should select an appropriate template from the prompt library and customize it for each scenario.
Templates provide a consistent starting structure and established prompt pattern while still allowing the instructions, inputs, grounding, and expected output to be adapted to a particular customer request. This balances standardization with scenario-level variation. Model settings influence behavior such as creativity or moderation, but they do not create a reusable prompt structure. Storing prompt text in ordinary topic variables duplicates unmanaged text and does not provide a governed prompt component with its own inputs and lifecycle. Creating unrelated prompts directly inside every topic would repeat structure and make maintenance inconsistent. Customized prompt components should be named clearly, added to solutions, tested against representative inputs, and versioned through ALM. Shared instructions can be kept consistent while scenario- specific requirements remain explicit. The AB-410 Study Guide contains the exact objective "build prompts from templates or from blank." Option D uses the template path for consistency and then applies the customization required for multiple service scenarios.
Study Guide reference/topic: "Create prompts and models in AI Hub - Build prompts from templates." AB-
410 Study Guide | Microsoft Learn technical reference
NEW QUESTION # 118
An organization deploys an AI application handling customer information. The company must ensure transparency regarding AI-generated decisions and provide explanations to users. Which responsible AI principle applies?
Answer: D
Explanation:
Transparency is a responsible AI principle focused on explaining how AI systems operate and how decisions are produced. Users should understand when AI is involved and receive appropriate information about outcomes. Hardware optimization and compression improve technical performance but do not address ethical requirements or user understanding.
NEW QUESTION # 119
You are troubleshooting multiple production Power Automate cloud flows for a company. The cloud flows connect to Microsoft Dataverse by using Microsoft Entra ID authentication. You analyze the following issues:
* A flow that has not executed for more than 90 days fails when performing actions that rely on an existing connection configuration.
* A flow fails for records containing incomplete data.
You need to resolve flow failures.
Which actions should you perform? To answer, move the appropriate actions to the correct issues. You may use each action 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 select is worth one point.
Answer:
Explanation:
Explanation:
Flow fails with an existing connection: Reauthenticate the connection. Flow fails due to incomplete data: Add input validation or condition checks.
A flow that has been dormant can fail because its Microsoft Entra-backed connection token or connection state is no longer valid. Reauthenticating or fixing the connection renews the authorization and restores the connector ' s ability to call Dataverse. A retry policy does not repair invalid credentials and may simply repeat the same authentication failure. The incomplete-data failure requires a different control: validate the required properties or add conditions before actions that assume those values exist. The flow can terminate with a clear status, supply a permitted default, or route incomplete records for correction. Limiting concurrency addresses overlapping executions, not expired authentication or null inputs. The maker should inspect the failed run ' s action details, confirm which connection reference is used, and retest with both complete and incomplete records. Connection ownership and service-account lifecycle should also be reviewed to prevent recurrence.
Microsoft Learn ' s cloud-flow troubleshooting guidance identifies repairing connections for authorization failures and recommends defensive validation for data-dependent actions.
Reference: https://learn.microsoft.com/en-us/power-automate/fix-connection-failures Study Guide alignment: Build business application logic and automation.
NEW QUESTION # 120
You make the following customizations to a Microsoft Dataverse environment:
- Create a new table.
- Add data to the new table.
- Delete an unused area from the site map.
The components must be transported to a different environment.
You need to determine the method required to transport each component.
Which method should you use?
Exhibit:
Answer:
Explanation:
Explanation:
New table - Solution; data for the new table - Configuration Migration Tool; site map - Solution.
Microsoft Power Platform solutions transport application metadata and components, including Dataverse table definitions and model-driven application site maps, between environments. Therefore, both the new table and the modified site map should be included in a solution. The Configuration Migration Tool is designed to transfer configuration and reference data between Dataverse environments using an export schema. Unlike solutions, it transports selected records rather than application component definitions. The SolutionPackager Tool performs a different function: unpacking and repackaging solution files, primarily for source control, version management, and automated build processes. It does not independently deploy application components. By selecting the appropriate migration method for each component, organizations can maintain data integrity, reduce deployment risks, and implement a structured application lifecycle management strategy across development, testing, and production environments.
NEW QUESTION # 121
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