Practice Test GeeksAI - Engineer Practice Test
← All AI Flashcard Decks

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.

Read the first 7 Associate [AI-102] flashcards as text

  1. Which Azure AI Vision feature can you use to generate a natural-language description of an image automatically?

    Answer: Image captioning (Dense Captions)

    Azure AI Vision's image captioning feature generates a human-readable natural-language description of an image's content.

  2. What is the key difference between 'system prompt' and 'user prompt' in an Azure OpenAI chat completion request?

    Answer: System prompts set assistant behavior and context; user prompts provide the actual user input

    The system prompt establishes the assistant's persona, constraints, and context, while the user prompt contains the actual conversational input from the user.

  3. A developer wants to detect whether a customer's message expresses frustration. Which Azure AI Language feature is most appropriate?

    Answer: Sentiment analysis with opinion mining

    Sentiment analysis with opinion mining evaluates the emotional tone of text and can identify negative sentiment indicative of frustration.

  4. When using Azure Bot Service with Direct Line channel, what format is used to exchange messages between the client and the bot?

    Answer: Activity objects in JSON following the Bot Framework protocol

    The Bot Framework protocol uses Activity objects serialized as JSON to represent messages, events, and other interactions over the Direct Line channel.

  5. Which feature of Azure AI Language allows you to build a model that classifies text into your own custom categories?

    Answer: Custom Text Classification

    Custom Text Classification lets you train a model on labeled examples to categorize documents into categories you define.

  6. In responsible AI, which principle is violated when a facial recognition system performs significantly worse for darker-skinned individuals?

    Answer: Fairness

    Disparate performance across demographic groups violates the Fairness principle, which requires AI systems to treat all people equitably.

  7. What is the purpose of 'semantic ranking' in Azure Cognitive Search?

    Answer: It uses language model understanding to re-rank results by semantic relevance beyond keyword matching

    Semantic ranking applies a transformer-based model to re-rank the top keyword search results by their true semantic relevance to the query.