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AI, Data & Emerging Tech Quiz

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AI, Data & Emerging Tech · Medium

20 questions · Unlimited attempts · Free online practice

Artificial intelligence, data, and emerging technologies are transforming the way we live, work, and communicate. From smart assistants and self-driving cars to data-driven decisio...

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All 20 questions in this AI, Data & Emerging Tech quiz

  1. Which tech is used in cryptocurrency?

    • A. Cloud
    • B. Blockchain
    • C. AI
    • D. IoT

  2. What is 'Synthetic Data' in the field of machine learning?

    • A. Data collected from nature
    • B. Data that has been stolen by hackers
    • C. Artificial data generated to mimic the characteristics of real data
    • D. Data that only consists of binary 1s and 0s

  3. What is the primary difference between a Data Warehouse and a Data Lake?

    • A. Warehouses store structured data, while Lakes store raw data in any format
    • B. Warehouses are cheaper than Lakes
    • C. Lakes only store images while Warehouses store text
    • D. There is no difference

  4. Which architectural breakthrough, introduced in a 2017 research paper, serves as the primary foundation for modern Large Language Models like GPT-4 and Claude?

    • A. Recurrent Neural Networks (RNNs)
    • B. Transformers
    • C. Convolutional Neural Networks (CNNs)
    • D. Generative Adversarial Networks (GANs)

  5. What is 'Swarm Intelligence' inspired by in nature?

    • A. The behavior of a single predator
    • B. The collective behavior of decentralized, self-organized systems like ants or bees
    • C. The growth of a single tree
    • D. The migration of solo birds

  6. The 'Big Data' concept is traditionally defined by 'The Three Vs'. What are they?

    • A. Volume, Velocity, and Variety
    • B. Value, Virtue, and Versatility
    • C. Vortex, Vision, and Volume
    • D. Vector, Variable, and Velocity

  7. What is 'Reinforcement Learning' (RL)?

    • A. A type of learning where a model is punished for every wrong answer
    • B. A machine learning style where an agent learns to make decisions by receiving rewards or penalties
    • C. Learning by reading a dictionary
    • D. A method of increasing the speed of a processor

  8. What is 'Big Data'?

    • A. A tech company
    • B. Data too large for traditional processing
    • C. A server room
    • D. A large computer

  9. What does 'DAO' stand for in the context of Web3 and blockchain-based organizations?

    • A. Digital Automated Object
    • B. Decentralized Autonomous Organization
    • C. Distributed Asset Order
    • D. Data Analysis Output

  10. What does 'ETL' stand for in the context of data engineering and pipelines?

    • A. Encryption, Transmission, Loading
    • B. Extract, Transform, Load
    • C. Evaluate, Transfer, Link
    • D. Extract, Transfer, Leverage

  11. What computing paradigm involves processing data closer to the source of generation (like a sensor) rather than in a centralized cloud data center?

    • A. Edge Computing
    • B. Fog Computing
    • C. Mainframe Computing
    • D. Quantum Computing

  12. What is the term for the hypothetical point in time when AI growth becomes uncontrollable and irreversible, resulting in unfathomable changes to human civilization?

    • A. The Event Horizon
    • B. The Technological Singularity
    • C. The Omega Point
    • D. The Digital Dawn

  13. Which 2022 law passed in the US provides billions in subsidies to boost domestic semiconductor (chip) manufacturing?

    • A. The AI Act
    • B. The CHIPS and Science Act
    • C. The Tech Sovereignty Law
    • D. The Silicon Valley Bill

  14. Which 2020 breakthrough by DeepMind used AI to predict the 3D shapes of proteins, solving a 50-year-old challenge in biology?

    • A. AlphaGo
    • B. AlphaFold
    • C. AlphaZero
    • D. AlphaCode

  15. What is 'Metadata'?

    • A. Hidden code
    • B. Data about data
    • C. A virus
    • D. Encrypted files

  16. What is the highest level of driving automation (Level 5) as defined by the SAE (Society of Automotive Engineers)?

    • A. Driver assistance (cruise control)
    • B. Conditional automation (driver ready to take over)
    • C. High automation (no driver in specific areas)
    • D. Full automation (no driver required anywhere)

  17. In computer vision, what is the term for an AI's ability to not only identify an object but also draw a box around its location?

    • A. Image Classification
    • B. Object Detection
    • C. Feature Extraction
    • D. Pixel Mapping

  18. In data science, what does the 'p-value' help determine when conducting a statistical test?

    • A. The exact value of the average
    • B. The probability that the observed results occurred by random chance
    • C. The size of the dataset
    • D. The speed at which the model was trained

  19. What technology allows multiple people to view and interact with the same 3D digital objects in the physical world through glasses or phones?

    • A. Virtual Reality (VR)
    • B. Augmented Reality (AR)
    • C. Mixed Reality (MR)
    • D. Holographic Projection

  20. What is the purpose of 'Data Augmentation' in machine learning?

    • A. To delete unnecessary data
    • B. To artificially increase the size of a training set by creating modified versions of existing data
    • C. To encrypt data before storage
    • D. To translate data into different languages