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Chatbot Flashcards

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

Read the first 7 Chatbot flashcards as text

  1. What does NLP stand for in the context of chatbots?

    Answer: Natural Language Processing

    NLP, Natural Language Processing, lets chatbots understand and interpret human language.

  2. Which type of chatbot follows predefined decision-tree paths rather than learning?

    Answer: Rule-based chatbot

    Rule-based chatbots respond using fixed rules and scripted decision trees.

  3. What is an 'intent' in chatbot design?

    Answer: The goal or purpose behind a user's message

    An intent represents what the user wants to accomplish with their message.

  4. What are 'entities' in conversational AI?

    Answer: Specific pieces of information extracted from user input

    Entities are key data points like dates, names, or locations pulled from a message.

  5. Which messaging concept lets a chatbot remember earlier parts of a conversation?

    Answer: Context

    Context allows a chatbot to retain information across multiple turns of a dialogue.

  6. What is a common reason to escalate a chatbot conversation to a human agent?

    Answer: The bot cannot resolve a complex or sensitive issue

    Escalation hands off complex, emotional, or unresolved queries to a human.

  7. What does a chatbot 'fallback' response do?

    Answer: Provides a default reply when the bot doesn't understand input

    A fallback gives a graceful default message when no intent is matched.

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