A company has a Microsoft Power Platform solution that contains the following components:
• Microsoft Dataverse tables
• A Microsoft Power BI workspace named WS1
• A canvas app named App1 that uses Dataverse
• A Power BI semantic model that connects to Dataverse by using DirectQuery
You plan to use generative AI 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 AI systems.
What should you do?
A. Populate a Dataverse table.
B. Share WS1.
C. Endorse the semantic model.
D. Export the semantic model.
Show Answer
Correct Answer: C
Explanation: The relevant requirement is to make data available as a grounding source for generative AI. In Microsoft Power BI, Copilot and related AI experiences are designed to use trusted semantic models, and endorsing (Promoted or Certified) a semantic model identifies it as a curated, trusted source suitable for AI consumption. Simply sharing a workspace, exporting the model, or populating a Dataverse table does not by itself make it the intended grounding source for these AI capabilities.
Question 22
HOTSPOT
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You need to recommend a Microsoft Power Platform solution for customer support. The solution must include AI capabilities in Microsoft Power Automate and must meet the following requirements:
• Use a centralized workspace for AI 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.
Show Answer
Correct Answer: Use a centralized workspace: Azure OpenAI Foundry
Generate short overviews: An AI Builder prebuilt prompt
Explanation: Azure AI Foundry (formerly Azure OpenAI Foundry) provides a centralized workspace for AI models. AI Builder prebuilt prompts include summarization capabilities for unstructured text without additional training or coding.
Question 23
HOTSPOT
-
A company has a Microsoft Power Platform environment.
You need to build two agents named Agent1 and Agent2. The solution must meet the following requirements:
• Agent1 must be extendable by using the Semantic Kernel and must connect to multiple business apps and APIs.
• Agent2 must connect directly to data stored in Microsoft Dataverse and must be embeddable in a Microsoft Power Apps canvas app.
What should you use to build each agent? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Agent1: Microsoft Foundry
Agent2: Microsoft Copilot Studio
Explanation: Microsoft Foundry supports developer-extensible agents using Semantic Kernel and integrations with business apps/APIs. Microsoft Copilot Studio builds agents with native Dataverse connectivity and these agents can be embedded in Power Apps canvas apps.
Question 24
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
A company has a Microsoft Dynamics 365 Sales environment that has Microsoft Copilot enabled.
You need to customize Copilot by tailoring how opportunity summaries are generated or how they are presented to users.
Solution: You add fields to the opportunity summary.
Does this meet the goal?
A. Yes
B. No
Show Answer
Correct Answer: A
Explanation: Yes. Dynamics 365 Sales allows administrators to configure the fields included in Copilot-generated opportunity summaries by adding fields to the opportunity summary configuration. This tailors the generated summaries presented to users.
Question 25
A company has a Microsoft Foundry agent that summarizes customer feedback and recommends products to customers. The agent references data from multiple knowledge sources.
Users report that the agent response time is slow.
Telemetry data shows that the agent frequently reaches its token usage limit.
You need to recommend a solution to reduce token usage without degrading the quality of the generated responses.
What should you recommend?
A. Chunk documents during indexing.
B. Reduce the number of knowledge sources used by the agent.
C. Reconfigure the prompts to limit the amount of retrieved content from the knowledge sources.
D. Lower the maximum token usage limit for the responses.
Show Answer
Correct Answer: A
Explanation: Chunking documents during indexing creates smaller, more focused retrieval units so the agent retrieves only the most relevant content. This reduces prompt token usage and latency while preserving or improving response quality. Reducing knowledge sources, limiting retrieved content through prompts, or lowering the token limit all risk omitting needed context or truncating responses.
Question 26
DRAG DROP
-
A company plans to implement an AI business solution for a consumer goods company.
You need to create agents that meet the following requirements:
• Orchestrate the sales order fulfillment and shipping of goods to customers.
• Analyze historical data and trends to replenish stock.
Which type of agent should you use for each requirement? To answer, drag the appropriate agent types to the correct requirements. Each agent type 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.
Show Answer
Correct Answer: Orchestrate the sales order fulfillment and shipping: Autonomous
Analyze historical data and trends: Task
Explanation: Autonomous agents coordinate and execute end-to-end business processes across systems. Task agents perform well-defined activities such as analyzing historical data to support inventory replenishment decisions.
Question 27
A company has a Microsoft Foundry generative AI model.
You need to evaluate the model's output to measure the overall quality and coherence of generated responses. The evaluation must use GPT-4o as a judge and return a numeric score for each output.
Which type of metric should you use?
A. AI quality (NLP)
B. risk and safety
C. Groundedness
D. AI quality (AI assisted)
Show Answer
Correct Answer: D
Explanation: AI quality (AI assisted) metrics use an LLM such as GPT-4o as a judge to evaluate generated responses for qualities like coherence, relevance, helpfulness, and overall quality, returning numeric scores. AI quality (NLP) relies on traditional metrics, risk and safety evaluates harmful content, and Groundedness measures support by source content rather than overall response quality.
Question 28
HOTSPOT
-
A company uses Microsoft Dynamics 365 Finance for accounts payable and customer debt recovery.
You are designing an AI finance process that meets the following requirements:
• Provides AI-driven details to help staff identify overdue vendor invoices and outstanding balances
• Helps staff reduce how long it takes to review overdue invoices and payment history
You need to recommend which Microsoft Copilot features to include in the design.
What should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Help identify vendor overdue invoices and outstanding balances: AI Summaries with Copilot
Reduce how long it takes to review overdue invoices and payment history: Collections coordinator summary
Explanation: AI Summaries with Copilot provides AI-generated insights into vendor information, including outstanding invoices and balances. Collections coordinator summary generates concise summaries of overdue invoices, payment history, and collections information to speed debt recovery review.
Question 29
A company has an Azure environment that supports multiple business units.
The company plans to implement an AI solution that will perform sentiment analysis on customer product reviews.
You need to evaluate the potential cost of the solution to support return on AI investment (ROAI) analysis.
What should you use?
A. Cost Management + Billing
B. Microsoft Fabric SKU Estimator
C. Total Cost of Ownership (TCO) Calculator
D. Azure Reservations
Show Answer
Correct Answer: C
Explanation: The Total Cost of Ownership (TCO) Calculator is used to estimate the potential cost and financial impact of moving or implementing workloads in Azure, supporting investment analysis before deployment. Cost Management + Billing is primarily for monitoring, allocating, and forecasting costs of Azure resources after or during usage, while Microsoft Fabric SKU Estimator is unrelated and Azure Reservations are a purchasing discount option.
Sources:
https://www.certqueen.com/AB-100-exam.html
https://www.exams4sure.com/ab-100-practice-questions.html
Question 31
A company has an AI business solution that uses Microsoft Copilot Studio agents.
You need to recommend prompt best practices to improve the effectiveness of agent interactions.
Which two actions should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Track the duration of the average user session.
B. Analyze the prompt length distribution.
C. Regularly test and refine the prompts based on user input.
D. Use clear and specific instructions in the prompts.
E. Measure system resource usage during prompt processing.
Show Answer
Correct Answer: C, D
Explanation: Effective prompt engineering for Microsoft Copilot Studio emphasizes writing clear, specific instructions to reduce ambiguity and iteratively testing and refining prompts based on user interactions and outcomes. Metrics such as session duration, prompt length distribution, or system resource usage are not prompt best practices for improving agent response quality.
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