Microsoft Azure AI Engineer Associate AI-102 Practice Question
You plan to fine-tune the gpt-35-turbo model in Azure OpenAI so a customer-support bot always answers in your organization's preferred style and vocabulary. You have prepared 5 000 example conversations that demonstrate the desired tone, and low-latency response time is more important than flexible retrieval. Before you can submit a fine-tuning job from Azure AI Studio, which format must the training data satisfy?
A single compressed .json file that Azure AI Studio automatically splits into batches during upload.
A UTF-8 encoded .jsonl file where every line is a messages array of role/content pairs and the total tokens per line do not exceed 16 385.
An Excel workbook with separate sheets for prompts and completions imported through Azure Data Factory.
Two plain-text files-one containing prompts and another containing matching completions-uploaded together as a dataset.
Azure OpenAI fine-tuning jobs require a UTF-8-encoded JSON Lines (.jsonl) file. Each line contains one training example expressed as a messages array of role/content pairs (for example system, user, assistant). Every example must fit within the model's maximum context window-16 385 input tokens (plus up to 4 096 output tokens) for gpt-35-turbo. Other formats, such as a zipped JSON file, an Excel workbook, or separate prompt/completion text files, are rejected by Azure AI Studio.
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