Free AI-103 Microsoft AI-103 Practice Test Question

Question 1 (Topic 1)

You have a Microsoft Foundry project that contains an agent. The agent uses Azure Speech in Foundry Tools. You fine-tune a baseline speech to text model for the en-us locale and publish the model. The agent calls the Speech to text REST API and returns an error message indicating that the project ID is invalid. You need to set the project property to the correct ID. To what should you set the project property?

Select an option, then click Submit answer.

○ the project URL
○ the custom speech project ID
○ the project ID
○ the custom speech endpoint URL

Question 2 (Topic 1)

You have a Microsoft Foundry project that contains an agent. The agent has a Model Context Protocol (MCP) tool that queries a knowledge base stored in Azure AI Search. Some agent runs return answers from the base model without invoking the knowledge base, which results in responses without grounded citations. You are provided with the following code snippet that runs the agent. You need to add the correct tool _choice parameter to the code to deterministically force the agent to invoke the MCP tool on each run. What should you add?

Select an option, then click Submit answer.

○ tool_choice={“required”}
○ tool_choice={“auto”}
○ tool_choice={“type”:“knowledge_base”}
○ tool_choice ={“type”:“mcp”}

Reference / correct answer:

tool_choice ={“type”:“mcp”}

Most accepted answer: D. tool_choice ={“type”:“mcp”}

Community votes: A=3, D=4

Selected Answer: D D is more precise. required only forces the use of some tool, while {"type":"mcp"} explicitly forces the MCP tool. Also, option A uses incorrect Python syntax. upvoted 1 times

Selected Answer: A Its not D. Its A. The question says:"force the agent to invoke the MCP tool on each run" The documented behavior of tool_choice="required" is: Force the model to call a tool instead of answering directly. That directly addresses the problem statement: Some runs return answers from the base model without invoking the knowledge base. D. tool_choice={"type":"mcp"} MCP is the tool protocol, not the standard tool_choice value used to force invocation. Simply specifying "mcp" does not represent the documented way to require tool use. upvoted 1 times

Selected Answer: A tool_choice("required") forces the agent to invoke a tool every time. Since the MCP tool is the only applicable tool, the agent will use it on every run, ensuring grounded responses with citations instead of answering from the base model. upvoted 1 times

Selected Answer: D Its D. Question Clearly state " add the correct tool _choice parameter to the code to deterministically force the agent to invoke the MCP tool on each run" in that case, we can't say "required" , becuase if you have more than one tool , its not valid. So answer is D upvoted 1 times

Selected Answer: D Its D because tool_choice="required" only forces it to use a tool its not speficifed if the agent has other tools . Then you have to force that SPECIFIC tool upvoted 1 times

Question 3 (Topic 1)

You have a Microsoft Foundry project. You plan to build a customer support solution that contains an agent. The solution must meet the following requirements: Provide accurate, context-aware responses grounded in internal product documentation stored in Azure AI Search. Require deep, multi-step reasoning across long contexts. Generate detailed natural language responses. Which type of model should you use to power the agent?

Select an option, then click Submit answer.

○ a multimodal model
○ a small language model (SLM)
○ a key phrase extraction model
○ a large language model (LLM)

Free AI-103 – Microsoft AI-103 Practice Test Question