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Associate [AI-102] Flashcards

7 cards from real AI practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.

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  1. Which Azure OpenAI feature allows you to extend the model's capabilities by letting it call external APIs or run code?

    Answer: Function calling (tools)

    Function calling enables the model to generate structured JSON arguments to invoke developer-defined functions or external APIs as part of a conversation.

  2. You must ensure your Azure AI solution logs all inputs and outputs for compliance auditing. Which Azure service provides this capability when integrated with Azure OpenAI?

    Answer: Azure Monitor with diagnostic settings

    Azure Monitor diagnostic settings can capture Azure OpenAI request and response logs, storing them in Log Analytics or a storage account for auditing.

  3. What does 'few-shot prompting' mean when working with large language models?

    Answer: Providing a small number of input-output examples in the prompt to guide model behavior

    Few-shot prompting includes a handful of example input-output pairs in the prompt itself, showing the model the desired behavior without retraining.

  4. Which Azure AI service would you use to automatically extract and recognize handwritten text from scanned documents?

    Answer: Azure AI Vision with OCR

    Azure AI Vision's OCR capability extracts printed and handwritten text from images and documents using deep learning-based recognition models.

  5. When fine-tuning an Azure OpenAI model, what data format is required for the training file?

    Answer: JSON Lines (JSONL) with 'messages' in chat format or prompt/completion pairs

    Azure OpenAI fine-tuning requires JSONL files where each line is a JSON object with 'messages' (chat format) or 'prompt'/'completion' fields.

  6. A chatbot built with Azure Bot Service needs to hand off complex queries to a human agent. Which Bot Framework feature supports this pattern?

    Answer: Handoff protocol (activity-based handoff)

    The Bot Framework handoff protocol allows a bot to signal that a conversation should be transferred to a human agent using standardized handoff activity events.

  7. In Azure AI Studio, what is the primary purpose of the 'prompt flow' tool?

    Answer: Building, testing, and deploying LLM-based workflows as executable flows

    Prompt flow provides a visual IDE for creating, evaluating, and deploying complex LLM-driven workflows that chain prompts, tools, and data sources.