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...
Playing as a guest
You can play free without an account. Create one to save scores and resume later.
Question of
Choose an answer to continue. Correct answers are revealed after you finish.
Time is up! Quiz Complete!
Your score
Correct
Wrong
Want this score saved?
Create a free account to store quiz history, track streaks, and pick up where you left off. Guests can keep playing without signup.
Questions for this topic are being prepared.
All 20 questions in this AI, Data & Emerging Tech quiz
-
What is 'Machine Learning' a subset of?
- A. Cloud Storage
- B. Database
- C. Artificial Intelligence
- D. Hardware
-
Which is an example of AI assistant?
- A. Paint
- B. Siri
- C. Word
- D. Excel
-
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 cheaper than Lakes
- C. Lakes only store images while Warehouses store text
- D. There is no difference
-
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
-
Which algorithm is used in RSA encryption?
- A. Compression
- B. Hashing
- C. Asymmetric
- D. Symmetric
-
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 does Big O notation describe?
- A. Network speed
- B. Memory size
- C. Data structure
- D. Algorithm complexity
-
In the context of the Internet of Things (IoT), what is a 'Smart City'?
- A. A city where everyone has a high IQ
- B. An urban area that uses sensors and data to manage assets and resources efficiently
- C. A city built entirely by robots
- D. A city that only uses digital currency
-
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
-
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
-
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 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 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
-
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
-
In 2022, what AI image generator sparked widespread debate about the future of art by winning first place in a Colorado State Fair digital art competition?
- A. DALL-E 2
- B. Midjourney
- C. Stable Diffusion
- D. Adobe Firefly
-
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
-
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 does AI stand for?
- A. Artificial Intelligence
- B. Automated Intelligence
- C. Applied Interface
- D. Advanced Internet
-
What does 'NPU' stand for in new 'AI PCs' released by companies like Dell and HP?
- A. Network Processing Unit
- B. Neural Processing Unit
- C. Node Power Utility
- D. Nanoscale Processing Unit
-
Which company developed 'TensorFlow'?
- A. Amazon
- B. Meta
- C. Microsoft
- D. Google