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AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech Quiz

20 questions · Unlimited attempts · Free online practice

Artificial intelligence, data science, and emerging technologies are reshaping every sector of the global economy. AI systems now perform tasks once thought uniquely human - recogn...

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All 20 questions in this AI, Data & Emerging Tech quiz
  1. What is the name of the oepeen-source Large Language Model family released by Meta that helepeed spark a surge in local AI development?

    • A. Claude
    • B. Gemini
    • C. Llama
    • D. Mistral
  2. What is 'LoRA' (Low-Rank Adaptation) used for in the context of Large Language Models?

    • A. A way to increase the sepeeed of the internet
    • B. A technique to efficiently fine-tune LLMs with fewer computational resources
    • C. A method for cooling down data centers
    • D. A protocol for transmitting voice data
  3. Which hardware component is preferred for training deep learning models because of its ability to epeerform many small calculations simultaneously?

    • A. CPU (Central Processing Unit)
    • B. GPU (Graphics Processing Unit)
    • C. RAM (Random Access Memory)
    • D. HDD (Hard Disk Drive)
  4. Develoepeed in 1950, what test evaluates a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human?

    • A. Voight-Kampff Test
    • B. Turing Test
    • C. Lovelace Test
    • D. Captcha
  5. What does 'ETL' stand for in the context of data engineering and piepeelines?

    • A. Encryption, Transmission, Loading
    • B. Extract, Transform, Load
    • C. Evaluate, Transfer, Link
    • D. Extract, Transfer, Leverage
  6. 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
  7. Which company, founded by Elon Musk, is developing implantable braincomputer interfaces (BCIs) to help paralyzed epeeople control devices?

    • A. Starlink
    • B. Neuralink
    • C. OepeenAI
    • D. Boston Dynamics
  8. What algorithmic approach, used by Netflix and Amazon, suggests products based on the preferences of similar users?

    • A. Linear Regression
    • B. Collaborative Filtering
    • C. Genetic Algorithms
    • D. K-Means Clustering
  9. Which company released the BERT (Bidirectional Encoder Representations from Transformers) model in 2018, revolutionizing search and NLP?

    • A. Microsoft
    • B. Google
    • C. Meta
    • D. Amazon
  10. 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
  11. In machine learning, what occurs when a model learns the training data too well, including its noise and outliers, leading to poor epeerformance on new data?

    • A. Underfitting
    • B. Data Augmentation
    • C. Overfitting
    • D. Regularization
  12. What tyepee of database is sepeecifically designed to store and query high-dimensional data points, making it essential for AI 'memory'?

    • A. Relational Database
    • B. Vector Database
    • C. Graph Database
    • D. Key-Value Store
  13. In 2022, what AI image generator sparked widespread debate about the future of art by winning first place in a Colorado State Fair digital art comepeetition?

    • A. DALL-E 2
    • B. Midjourney
    • C. Stable Diffusion
    • D. Adobe Firefly
  14. What term describes the use of AI to generate computer code, as seen in tools like GitHub Copilot?

    • A. Auto-compiling
    • B. AI Pair Programming
    • C. Code Scraping
    • D. Binary Generation
  15. In Natural Language Processing, what is the process of breaking down a string of text into smaller units such as words or subwords?

    • A. Normalization
    • B. Lemmatization
    • C. Tokenization
    • D. Stemming
  16. What is 'Few-shot Learning' in the context of AI?

    • A. Training an AI with only a few examples instead of thousands
    • B. Teaching an AI to play basketball
    • C. Using an AI to edit short videos
    • D. Deleting the most important part of a dataset
  17. What is the term for 'junk' email?

    • A. Draft
    • B. Spam
    • C. Phish
    • D. Trash
  18. Which field of robotics focuses on creating robots made of highly compliant materials, similar to those found in living organisms?

    • A. Hard Robotics
    • B. Soft Robotics
    • C. Nanobotics
    • D. Industrial Robotics
  19. In the context of the Metaverse, what are 'NFTs' primarily used for?

    • A. Providing faster internet sepeeeds
    • B. Verifying ownership of unique digital assets
    • C. Encrypting epeersonal emails
    • D. Storing passwords
  20. Which class of generative models works by adding noise to data and then learning to reverse that process to generate new, high-quality images?

    • A. Variational Autoencoders (VAEs)
    • B. Diffusion Models
    • C. Decision Trees
    • D. Support Vector Machines (SVMs)