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AI, Data & Emerging Tech Quiz
AI, Data & Emerging Tech · Expert
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
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What is the 'Simulated Annealing' algorithm used for?
- A. Cooling down a computer's CPU
- B. Finding an approximate global optimum of a given function
- C. Generating realistic weather in video games
- D. Simulating the melting of metals
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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
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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
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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
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What is 'Over-parameterization' in deep learning?
- A. When a model has too few neurons
- B. When a model has more parameters (weights) than are strictly necessary to fit the training data
- C. When a model is too fast for its hardware
- D. When a model uses too many different colors in its output
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What is the term for a subset of machine learning that uses multi-layered neural networks to learn from vast amounts of data?
- A. Linear Regression
- B. Deep Learning
- C. Decision Trees
- D. Bayesian Networks
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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
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What is 'Metadata'?
- A. Hidden code
- B. Data about data
- C. A virus
- D. Encrypted files
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Which technology is used to create a decentralized, tamper-proof record of who owns a digital item?
- A. Cloud Storage
- B. NFT (Non-Fungible Token)
- C. VPN
- D. Cookies
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What is the 'Alignment Problem' in the field of artificial intelligence research?
- A. The challenge of aligning the physical parts of a robot
- B. Ensuring that AI systems' goals and behaviors match human values and intentions
- C. The process of organizing data into rows and columns
- D. Aligning the code of different programming languages
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In Big Data, what is the term for data that does not fit into a predefined schema, such as emails, videos, and social media posts?
- A. Structured Data
- B. Unstructured Data
- C. Metadata
- D. Categorical Data
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What is 'Model Distillation' in machine learning?
- A. The process of cleaning data
- B. Training a small, efficient 'student' model to mimic the behavior of a large 'teacher' model
- C. Merging two different models together
- D. Deleting a model when it is no longer useful
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What specific training method is used to align Large Language Models with human preferences by using human rankings to train a reward model?
- A. Unsupervised Pre-training
- B. Reinforcement Learning from Human Feedback (RLHF)
- C. Supervised Fine-tuning
- D. Linear Regression
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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
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What is the name of the Ethereum-based technology that allows 'if-then' agreements to execute automatically without an intermediary?
- A. NFTs
- B. Smart Contracts
- C. Nodes
- D. Mining
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In 2019, Google claimed to have achieved what milestone when their 53-qubit Sycamore processor solved a problem in 200 seconds that would take a supercomputer 10,000 years?
- A. AI Singularity
- B. Quantum Supremacy
- C. Data Sovereignty
- D. The Turing Threshold
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What mathematical algorithm is used in neural networks to calculate gradients and update weights to minimize errors during training?
- A. Merge Sort
- B. Backpropagation
- C. A* Search
- D. Dijkstra's Algorithm
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What is the art and science of crafting specific inputs to guide a Large Language Model to produce a desired output?
- A. Prompt Engineering
- B. Input Tuning
- C. Scripting
- D. Feature Engineering
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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
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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