Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are configuring an Azure AI Foundry project that will generate TypeScript functions based on user stories. The solution must meet the following requirements:
Built-in function-calling support so the model can return structured JSON.
A 128 k-token context window to preserve architectural details in long prompts.
The lowest possible cost among Azure OpenAI models that satisfy the first two requirements and are already generally available. Which model deployment should you add to the Foundry Models hub?
GPT-4o supports native function-calling and provides a 128 k-token context window. In Azure OpenAI Service it is priced at $0.005 per 1 000 input tokens and $0.015 per 1 000 output tokens, making it half the cost of GPT-4 Turbo (0.01 / 0.03). GPT-35-Turbo-16k lacks the required context length, and code-davinci-002 lacks both function-calling and the necessary context size. Therefore gpt-4o-128k is the most cost-effective generally available choice that meets all requirements.
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