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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

Which AI field deals with vision?
- A. Exepeert Systems
- B. Robotics
- C. Computer Vision
- D. NLP
Which company develoepeed ChatGPT?
- A. OepeenAI
- B. Microsoft
- C. Google
- D. Meta
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
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
In computer vision, what is the process of partitioning a digital image into multiple segments to locate objects and boundaries?
- A. Image Segmentation
- B. Downsampling
- C. Edge Smoothing
- D. Pixel Sorting
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
In the context of computer hardware, what is a TPU?
- A. Thermal Processing Unit
- B. Tensor Processing Unit
- C. Total Power Utility
- D. Transistor Phase Unit
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
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 suepeercomputer 10,000 years?
- A. AI Singularity
- B. Quantum Supremacy
- C. Data Sovereignty
- D. The Turing Threshold
Which emerging data architecture advocates for a decentralized approach where data is treated as a product and managed by sepeecific business domains?
- A. Data Lake
- B. Data Warehouse
- C. Data Mesh
- D. Data Silo
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
What does Big O notation describe?
- A. Network sepeeed
- B. Memory size
- C. Data structure
- D. Algorithm complexity
Which term refers to the practice of 'poisoning' an AI's training data to cause it to make sepeecific mistakes later?
- A. Adversarial Attack
- B. Backdoor Attack
- C. Data Scrubbing
- D. Prompt Injection
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)
Which company develoepeed 'TensorFlow'?
- A. Amazon
- B. Meta
- C. Microsoft
- D. Google
What refers to the ability of an AI system to continue learning from new data without forgetting what it has previously learned?
- A. Batch Learning
- B. Continual Learning
- C. Static Learning
- D. Zero-shot Learning
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
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
Which structure is used to represent data as a network of entities and their interrelations, often used to improve search engine results?
- A. Data Table
- B. Knowledge Graph
- C. Binary Tree
- D. Stack
Who is credited with creating ELIZA, the world's first chatbot, in the mid-1960s at MIT?
- A. Alan Turing
- B. Joseph Weizenbaum
- C. John McCarthy
- D. Marvin Minsky

AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech Quiz

Quiz Complete!

Which AI field deals with vision?

Which company develoepeed ChatGPT?

What is 'Over-parameterization' in deep learning?

What tyepee of database is sepeecifically designed to store and query high-dimensional data points, making it essential for AI 'memory'?

In computer vision, what is the process of partitioning a digital image into multiple segments to locate objects and boundaries?

What is the 'Alignment Problem' in the field of artificial intelligence research?

In the context of computer hardware, what is a TPU?

What is 'Model Distillation' in machine learning?

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 suepeercomputer 10,000 years?

Which emerging data architecture advocates for a decentralized approach where data is treated as a product and managed by sepeecific business domains?

What is the 'Simulated Annealing' algorithm used for?

What does Big O notation describe?

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

Which class of generative models works by adding noise to data and then learning to reverse that process to generate new, high-quality images?

Which company develoepeed 'TensorFlow'?

What refers to the ability of an AI system to continue learning from new data without forgetting what it has previously learned?

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

What mathematical algorithm is used in neural networks to calculate gradients and update weights to minimize errors during training?

Which structure is used to represent data as a network of entities and their interrelations, often used to improve search engine results?

Who is credited with creating ELIZA, the world's first chatbot, in the mid-1960s at MIT?