AI, Data & Emerging Tech Quiz

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

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
What does 'NPU' stand for in new 'AI PCs' released by companies like Dell and HP?
- A. Network Processing Unit
- B. Neural Processing Unit
- C. Node Power Utility
- D. Nanoscale Processing Unit
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
Which tech is used in cryptocurrency?
- A. Cloud
- B. Blockchain
- C. AI
- D. IoT
Which architecture modification allows an AI to look up relevant documents from an external database before generating an answer?
- A. CNN
- B. GAN
- C. RAG (Retrieval-Augmented Generation)
- D. RNN
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
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
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
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
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
In the context of the Metaverse, what are 'NFTs' primarily used for?
- A. Providing faster internet speeds
- B. Verifying ownership of unique digital assets
- C. Encrypting personal emails
- D. Storing passwords
What is 'Big Data'?
- A. A tech company
- B. Data too large for traditional processing
- C. A server room
- D. A large computer
What is the name of the open-source Large Language Model family released by Meta that helped spark a surge in local AI development?
- A. Claude
- B. Gemini
- C. Llama
- D. Mistral
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
What is the 'Cold Start' problem in recommendation systems?
- A. When a server room gets too cold for the hardware
- B. When there is not enough data about new users or new items to make accurate recommendations
- C. When the system fails to boot up in the morning
- D. When the AI refuses to process a request
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
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
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)
What is the goal of AutoML (Automated Machine Learning)?
- A. To replace human data scientists entirely
- B. To automate the end-to-end process of applying machine learning to real-world problems
- C. To generate fake data for training
- D. To build hardware for AI
In machine learning, what occurs when a model learns the training data too well, including its noise and outliers, leading to poor performance on new data?
- A. Underfitting
- B. Data Augmentation
- C. Overfitting
- D. Regularization

AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech · Medium

Time is up! Quiz Complete!

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

What does 'NPU' stand for in new 'AI PCs' released by companies like Dell and HP?

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

Which tech is used in cryptocurrency?

Which architecture modification allows an AI to look up relevant documents from an external database before generating an answer?

Which field of robotics focuses on creating robots made of highly compliant materials, similar to those found in living organisms?

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

What algorithmic approach, used by Netflix and Amazon, suggests products based on the preferences of similar users?

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

What is 'Swarm Intelligence' inspired by in nature?

In the context of the Metaverse, what are 'NFTs' primarily used for?

What is 'Big Data'?

What is the name of the open-source Large Language Model family released by Meta that helped spark a surge in local AI development?

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

What is the 'Cold Start' problem in recommendation systems?

What is 'Reinforcement Learning' (RL)?

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

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

What is the goal of AutoML (Automated Machine Learning)?

In machine learning, what occurs when a model learns the training data too well, including its noise and outliers, leading to poor performance on new data?