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What is the primary role of the Azure Language MCP server?
To train and fine-tune custom language models for use by AI agents.
To expose Azure Language text analysis capabilities as MCP tools for agents.
To deploy and manage large language models in an Azure subscription.
How does an agent determine which Azure Language MCP tool to call when processing a user's prompt?
The developer writes routing logic to direct each prompt to a specific tool.
The agent matches the prompt to tool descriptions received from the MCP server.
The MCP server analyzes the prompt and automatically routes it to a tool.
When building a Python client application, how do you reference a Foundry agent when calling the OpenAI Responses API?
By passing the agent's API key as a request header to the endpoint.
By specifying the agent name in the agent_reference field in extra_body.
By passing the agent's endpoint URL as the model parameter value.
What authentication method is used when connecting the Azure Language MCP server to a Foundry agent?
OAuth 2.0 authentication with a client certificate and tenant ID.
Key-based authentication using the Ocp-Apim-Subscription-Key credential.
Anonymous access that requires no authentication or credentials.
You must answer all questions before checking your work.
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