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AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech · Exam Mode

20 questions · 30 min timer · Results at the end

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

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
What is 'LoRA' (Low-Rank Adaptation) used for in the context of Large Language Models?
- A. A way to increase the speed 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
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
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
Which term refers to the practice of 'poisoning' an AI's training data to cause it to make specific mistakes later?
- A. Adversarial Attack
- B. Backdoor Attack
- C. Data Scrubbing
- D. Prompt Injection
What term is used to describe a hypothetical type of AI that possesses the ability to understand, learn, and apply its intelligence to any intellectual task that a human being can do?
- A. Narrow AI
- B. Supervised Learning
- C. Artificial General Intelligence (AGI)
- D. Reinforcement Learning
What is 'Sentiment Analysis' in the context of Natural Language Processing?
- A. Checking the grammar of a sentence
- B. Identifying the emotional tone or opinion expressed in text
- C. Translating text from one language to another
- D. Calculating the word count of a document
What is the core technology behind cryptocurrencies that functions as a decentralized, immutable ledger?
- A. Cloud Computing
- B. Centralized Database
- C. Blockchain
- D. Edge Computing
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 does 'BCC' stand for in email?
- A. Back Carbon Copy
- B. Block Code Copy
- C. Blind Carbon Copy
- D. Business Core Contact
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
Which company developed the 'Spot' quadruped robot that has been used for everything from construction site inspection to police work?
- A. Tesla
- B. Boston Dynamics
- C. Sony
- D. Amazon
What is the term for 'junk' email?
- A. Draft
- B. Spam
- C. Phish
- D. Trash
What does Big O notation describe?
- A. Network speed
- B. Memory size
- C. Data structure
- D. Algorithm complexity
Which company, founded by Elon Musk, is developing implantable braincomputer interfaces (BCIs) to help paralyzed people control devices?
- A. Starlink
- B. Neuralink
- C. OpenAI
- D. Boston Dynamics
Which is an example of AI assistant?
- A. Paint
- B. Siri
- C. Word
- D. Excel
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
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
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
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 · Exam Mode

Time is up! Quiz Complete!

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

What is 'LoRA' (Low-Rank Adaptation) used for in the context of Large Language Models?

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

What term describes the use of AI to generate computer code, as seen in tools like GitHub Copilot?

Which term refers to the practice of 'poisoning' an AI's training data to cause it to make specific mistakes later?

What term is used to describe a hypothetical type of AI that possesses the ability to understand, learn, and apply its intelligence to any intellectual task that a human being can do?

What is 'Sentiment Analysis' in the context of Natural Language Processing?

What is the core technology behind cryptocurrencies that functions as a decentralized, immutable ledger?

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

What does 'BCC' stand for in email?

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

Which company developed the 'Spot' quadruped robot that has been used for everything from construction site inspection to police work?

What is the term for 'junk' email?

What does Big O notation describe?

Which company, founded by Elon Musk, is developing implantable braincomputer interfaces (BCIs) to help paralyzed people control devices?

Which is an example of AI assistant?

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

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?

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

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?