Online Access Free AB-100 Practice Test

A company plans to deploy a Microsoft Copilot Studio agent to enhance customer support.
The company stores customer data across ServiceNow, Microsoft Dynamics 365 Finance, Dynamics 365 Supply Chain Management, and Excel files in SharePoint Online.
You need to recommend a solution to ensure that the agent can deliver accurate and timely responses.
What should you recommend?

• A.Create custom prompts.
• B.Implement Microsoft Power Platform connectors.
• C.Implement a model router for query handling.
• D.Enable incremental indexing in Azure Al Search.

A company has a Microsoft Power Platform solution that contains the following components:
* Microsoft Dataverse tables
* A Microsoft Power Bl workspace named WS1
* A canvas app named App1 that uses Dataverse
* A Power Bl semantic model that connects to Dataverse by using DirectQuery You plan to use generative Al to provide answers to queries based on a subset of corporate data. You need to ensure that the data is available as a grounding data source for Al systems. What should you do?

• A.Share WS1.
• B.Populate a Dataverse table.
• C.Endorse the semantic model.
• D.Export the semantic model.

You need to recommend a Microsoft Power Platform solution for customer support. The solution must include Al capabilities in Microsoft Power Automate and must meet the following requirements:
* Use a centralized workspace for Al models.
* Generate short overviews from large amounts of unstructured text such as case notes or transcripts, without requiring additional training or coding.
What should you include in the recommendation for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:

1. Centralized Workspace for AI Models
In the evolving Microsoft AI ecosystem, Azure AI Foundry (formerly Azure AI Studio) serves as the unified, centralized workspace for developers and organizations to build, manage, and deploy AI models.
Unified Hub: It provides a single location to access the Model Catalog, manage deployments, and perform prompt engineering.
Integration: While AI Builder is the " front-end " for citizen developers in Power Automate, Azure AI Foundry is the foundational " engine room " where the underlying models (including those used by prompts) are managed and governed at an enterprise level.
Scalability: It allows organizations to host their own custom models or utilize industry-leading foundation models (like GPT-4o) which then power the downstream capabilities in the Power Platform.
2. Generating Short Overviews Without Training or Coding
To summarize large amounts of unstructured text like case notes or transcripts without manual effort, AI Builder prebuilt prompts are the specific solution.
AI Builder Prebuilt Prompts: These are ready-to-use GPT-based instructions designed for common business tasks. Specifically, the " AISummarize " prebuilt prompt is engineered to take input text and generate a concise summary automatically.
Zero Training Required: Unlike " Custom Models " which require you to provide sets of historical data to teach the AI, prebuilt prompts leverage pre-trained Large Language Models (LLMs). This meets the requirement of " no additional training or coding. " Ease of Use: In Power Automate, you simply add the " Create text with GPT using a prompt " action and select the prebuilt summary prompt, passing it the text from your case notes or transcripts.

You are designing a Microsoft Copilot Studio agent that will automatically generate sales quotes for a sales team. You need to recommend a low code solution to automate the quote generation process. What should you include in the recommendation?

• A.prompts
• B.agent behavior
• C.agent workflows
• D.adaptive cards

Which framework should you use for the infrastructure migration?

• A.Microsoft Power Platform Center of Excellence (CoE)
• B.Microsoft Cloud Adoption Framework for Azure
• C.Microsoft Power Platform Project Setup Wizard
• D.Success by Design