💻

AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech · Hard

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...

Playing as a guest

You can play free without an account. Create one to save scores and resume later.

Create account Log in Continue as guest

All 20 questions in this AI, Data & Emerging Tech quiz

Which algorithm is used in RSA encryption?
- A. Compression
- B. Hashing
- C. Asymmetric
- D. Symmetric
What is the 'Bias-Variance Tradeoff' in machine learning?
- A. The cost of hardware vs. software
- B. The balance between model simplicity and complexity to minimize error
- C. The difference between training speed and accuracy
- D. The trade-off between privacy and data volume
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
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 computer hardware, what is a TPU?
- A. Thermal Processing Unit
- B. Tensor Processing Unit
- C. Total Power Utility
- D. Transistor Phase Unit
What is virtualization?
- A. Hardware sharing
- B. OS duplication
- C. Running multiple OS
- D. Cloud storage
Which company developed ChatGPT?
- A. OpenAI
- B. Microsoft
- C. Google
- D. Meta
What concept refers to a machine's ability to recognize a concept or object it has never seen during training, usually by using descriptive attributes?
- A. Over-generalization
- B. Zero-shot Learning
- C. Clustering
- D. Batch Normalization
Which AI field deals with vision?
- A. Expert Systems
- B. Robotics
- C. Computer Vision
- D. NLP
What framework allows multiple devices to share a global model by training on local data without actually exchanging that data, thus preserving privacy?
- A. Cloud Training
- B. Federated Learning
- C. Centralized Learning
- D. Batch Processing
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
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
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 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
Which company developed 'TensorFlow'?
- A. Amazon
- B. Meta
- C. Microsoft
- D. Google
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
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
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
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)
What type of database is specifically 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

AI, Data & Emerging Tech Quiz

AI, Data & Emerging Tech · Hard

Time is up! Quiz Complete!

Which algorithm is used in RSA encryption?

What is the 'Bias-Variance Tradeoff' in machine learning?

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

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 computer hardware, what is a TPU?

What is virtualization?

Which company developed ChatGPT?

What concept refers to a machine's ability to recognize a concept or object it has never seen during training, usually by using descriptive attributes?

Which AI field deals with vision?

What framework allows multiple devices to share a global model by training on local data without actually exchanging that data, thus preserving privacy?

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

What specific training method is used to align Large Language Models with human preferences by using human rankings to train a reward model?

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

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

Which company developed 'TensorFlow'?

What is 'Over-parameterization' in deep learning?

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

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

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

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