Demo Microsoft AB-100 Exam Questions

Why the other options are not correct: Azure AI Bot Service channel is for communication channels, not for exposing this knowledge source. a custom OData entity is not the right pattern for integrating the existing MCP-based capability. the Semantic Kernel is a developer orchestration framework, but the requirement emphasizes using the existing MCP technology in a low-code solution. an event trigger is unrelated to exposing R&D specification/compliance knowledge. a REST API is too generic here; the scenario specifically points to the existing MCP server. a tool is close conceptually, but the most direct answer choice tied to the existing R&D technology is the MCP server.
Verified Answe r: = To expose the data to the agent, create: a custom connector Add to the agent: the MCP server The custom agent must answer questions about product specifications and compliance information, and the case study states that the R&D department already has a custom Model Context Protocol (MCP) server containing that information. The best design is: create a custom connector to expose that external capability cleanly to the low-code Copilot solution add the MCP server to the agent so the agent can use that external knowledge/tooling source Why this is correct: The MCP server already exists and contains the needed product-specification and compliance data. In a Copilot/agent design, you need a way to expose external functionality and data in a reusable, secure way. A custom connector is the low-code integration mechanism that fits this requirement. Then the agent can use the MCP server as the connected external capability for answering those questions. 

The CEO’s responsibility is to ensure that all AI solutions adhere to industry-standard responsible AI practices. The case study also explicitly says the CEO wants a quarterly assessment that must verify: reliability interpretability fairness compliance 

The best recommendation is D. the Responsible AI dashboard. Why this is correct: The Responsible AI dashboard is the Microsoft-recommended capability for evaluating AI systems against responsible AI dimensions such as fairness, interpretability, error analysis, and model behavior assessment. It aligns directly with the CEO’s governance-focused responsibility. Why the other options are not the best fit: A . Compliance Center focuses more broadly on Microsoft 365 compliance and governance, not full responsible AI evaluation dimensions like fairness and interpretability. B . Microsoft Foundry Tools is too broad and not the specific assessment tool for responsible AI measurement. C . the Microsoft Service Trust Portal provides compliance documentation and trust information, but it does not assess Contoso’s AI solutions for fairness and interpretability. E . Microsoft Purview is strong for data governance, classification, compliance, and auditing, but it is not the dedicated Microsoft tool for responsible AI evaluation across those four dimensions. 

The CTO wants to view available prebuilt agent templates in Dynamics 365 Supply Chain Management to decide which one should be prioritized for deployment. Agent management is the feature used to discover, review, and manage available agent templates and capabilities for Dynamics 365 business applications. Why this is correct: It supports discovering available prebuilt agents It helps evaluate which agent can deliver the most business value It aligns with the requirement to preview and assess candidate agents during the selection phase Why the other options are not correct: B . Immersive Home is more of an experience surface, not the primary tool for selecting prebuilt agent templates C . Lifecycle Services (LCS) is used for environment and application lifecycle management, not for browsing Dynamics 365 AI agent templates 
D . Copilot Studio is primarily for building/customizing copilots and agents, not for selecting Dynamics 365 prebuilt Supply Chain Management agent templates