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What is AI? (Market Marshes Activity)

Quiz by Saifeddin Alghlayini

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9 questions
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  • Q1
    What is training data used for?
    To teach the model how to recognize patterns and make predictions.
    To evaluate the performance of a model
    To gather user feedback
    To create graphical representations of data
    30s
  • Q2
    What is testing data?
    Data used during the initial training phase
    New data that the model hasn’t seen before, used to check the accuracy of predictions.
    Data that is manually curated by humans
    Data used to gather user opinions
    30s
  • Q3
    Which of the following best describes the term 'artificial intelligence'?
    The creation of physical components for machines
    The study of natural phenomena
    A scientific field focused on replicating human-like intelligence in machines.
    An area of study focused solely on machine learning algorithms
    30s
  • Q4
    What is a model in the context of AI?
    A type of neural network
    A physical robot
    A programming language
    A program or system trained on data to recognize patterns and make predictions.
    30s
  • Q5
    What is the primary focus of artificial intelligence?
    Building computers and models that can reason, learn, and act like humans.
    Developing software for graphic design
    Creating physical robots that perform tasks
    Analyzing social media trends
    30s
  • Q6
    What does model testing involve?
    Designing new training data.
    Checking how well a trained model performs with new data.
    Evaluating user interfaces.
    Preparing data for storage.
    30s
  • Q7
    Which of the following is NOT a part of AI concepts?
    Forecasting.
    Artificial intelligence.
    Creating virtual reality environments.
    Model testing.
    30s
  • Q8
    What defines a model in the context of AI?
    A program trained on data to recognize patterns and make predictions.
    A statistical formula without practical use.
    A hardware component of a computer.
    A method for increasing internet speeds.
    30s
  • Q9
    What would happen if a model only memorizes training data?
    It will be easier to develop.
    It won’t perform well on unseen data.
    It will be highly efficient.
    It will consistently predict correctly.
    It won't perform well on unseen data.
    30s

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