Types of AI Quiz

1. What is Narrow AI (Weak AI)?

A. AI that can think and act like humans across all domains
B. AI designed for a specific task without general intelligence
C. AI that can create original art and music
D. AI that is still theoretical and does not exist

2. Which of the following is an example of Narrow AI?

A. A robot that learns any task like a human
B. Netflix’s recommendation system
C. A self-aware supercomputer
D. AI that creates theories in physics

3. What is General AI (Strong AI)?

A. AI that only works with images
B. AI limited to narrow tasks
C. Hypothetical AI that can reason and adapt like a human
D. AI that powers only recommendation systems

4. What is the current status of General AI?

A. Already used in smartphones
B. Exists in labs but not yet public
C. Still theoretical — it does not exist yet
D. Used in Tesla cars

5. Which is the main goal of General AI?

A. Predicting customer purchases
B. Solving one narrow task perfectly
C. Reasoning, problem-solving, and decision-making across multiple fields
D. Making photo filters for social media

6. Predictive AI mainly focuses on:

A. Creating new content
B. Forecasting outcomes using data and patterns
C. Translating human language
D. Recognizing faces in images

7. Which is an example of Predictive AI?

A. DALL·E generating images
B. Fraud detection in banking
C. Siri answering a question
D. Tesla detecting road signs

8. Which company uses Predictive AI to optimize its supply chain?

A. Coca-Cola
B. Amazon
C. Tesla
D. Netflix

9. Generative AI is best described as AI that:

A. Predicts future sales
B. Creates new content like text, images, or videos
C. Interprets languages
D. Detects objects in images

10. Which of these tools is an example of Generative AI?

A. ChatGPT
B. Google Maps
C. Fraud detection software
D. Siri

11. Coca-Cola used Generative AI for:

A. Detecting fraud in transactions
B. Designing ad campaigns and visuals
C. Optimizing delivery routes
D. Building autonomous robots

12. What does Computer Vision allow machines to do?

A. Speak in human languages
B. Analyze and interpret images or videos
C. Generate original text stories
D. Predict customer behavior

13. Which of the following uses Computer Vision?

A. Tesla’s self-driving cars detecting lanes
B. ChatGPT answering questions
C. Amazon recommending products
D. Google Translate

14. Which technology powers iPhone Face ID?

A. Predictive AI
B. Natural Language Processing
C. Computer Vision
D. Generative AI

15. In healthcare, Computer Vision is applied in:

A. Fraud detection
B. Tumor detection in medical imaging
C. Voice translation
D. Autocomplete in texting

16. Natural Language Processing (NLP) focuses on:

A. Teaching AI to understand and generate human language
B. Predicting customer purchases
C. Detecting tumors in X-rays
D. Driving autonomous cars

17. Which of these is an example of NLP?

A. Google Translate
B. Netflix recommendations
C. Tesla Autopilot
D. Amazon fraud detection

18. Duolingo uses NLP to:

A. Translate road signs
B. Correct grammar and pronunciation in real time
C. Detect fraudulent activity
D. Create new songs

19. Which AI category does Siri or Alexa mainly use?

A. Predictive AI
B. Computer Vision
C. Natural Language Processing
D. Generative AI

20. Which statement best summarizes the types of AI?

A. Narrow AI = general purpose, General AI = specific task
B. General AI exists today, Narrow AI is theoretical
C. Narrow AI = task-focused, General AI = human-like, Categories = Predictive, Generative, Vision, NLP
D. NLP and Computer Vision are types of Narrow AI only

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