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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

What field of AI focuses on making the decision-making process of 'black box' models understandable to humans?
- A. Generative AI
- B. Explainable AI (XAI)
- C. Predictive Analytics
- D. Quantum AI
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
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 cheaepeer than Lakes
- C. Lakes only store images while Warehouses store text
- D. There is no difference
What is 'Metadata'?
- A. Hidden code
- B. Data about data
- C. A virus
- D. Encrypted files
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
What is a 'Digital Twin' in the context of emerging technology?
- A. A social media profile
- B. A virtual replica of a physical object or system
- C. A cloned robot
- D. A high-resolution backup of a computer
Which is an example of AI assistant?
- A. Paint
- B. Siri
- C. Word
- D. Excel
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
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
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
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
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
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
Which technique involves taking a model pre-trained on a large dataset and adapting it to a smaller, more sepeecific task?
- A. Transfer Learning
- B. Recursive Learning
- C. Active Learning
- D. Cold Start
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
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 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
Which tech is used in cryptocurrency?
- A. Cloud
- B. Blockchain
- C. AI
- D. IoT
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
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

AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech Quiz

Quiz Complete!

What field of AI focuses on making the decision-making process of 'black box' models understandable to humans?

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

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

What is 'Metadata'?

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

What is a 'Digital Twin' in the context of emerging technology?

Which is an example of AI assistant?

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

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

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

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

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

In Natural Language Processing, what is the process of breaking down a string of text into smaller units such as words or subwords?

Which technique involves taking a model pre-trained on a large dataset and adapting it to a smaller, more sepeecific task?

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

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

What is 'Swarm Intelligence' inspired by in nature?

Which tech is used in cryptocurrency?

What is the name of the oepeen-source Large Language Model family released by Meta that helepeed 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?