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Fundamentals of AI

Total questions: 60

Worksheet time: 30mins

Name
Class
Date
1.
What does Artificial Intelligence primarily aim to do?
a)
Replace all human workers
b)
Simulate human intelligence in machines
c)
Build mechanical robots for physical labor
d)
Create virtual reality games
2.
Which of the following is NOT considered a backbone component of AI?
a)
Data
b)
Computing Power
c)
Algorithms
d)
Electricity
3.
Who proposed the concept of the Turing Test?
a)
John McCarthy
b)
Marvin Minsky
c)
Alan Turing
d)
Geoffrey Hinton
4.
What was a key feature of early 'expert systems' in the 1960s and 70s?
a)
General learning abilities
b)
No need for data
c)
Focus on specific domains
d)
Autonomous decision-making
5.
What major breakthrough allowed AI to recognize images and speech better in the 2000s?
a)
Expert Systems
b)
Symbolic AI
c)
Deep Learning
d)
Hardcoded Logic
6.
Which component is considered the 'fuel' for AI learning?
a)
Code
b)
Data
c)
Hardware
d)
Syntax
7.
What is the role of algorithms in AI?
a)
Provide electricity
b)
Store data securely
c)
Instruct AI how to process and learn
d)
Automate network connections
8.
What is the purpose of Google Cloud AutoML?
a)
Prevent AI access
b)
Allow non-coders to build AI models
c)
Create video games
d)
Translate languages
9.
Which is an example of a generative AI tool?
a)
Teachable Machine
b)
IBM Watson
c)
DALL·E 2
d)
Jupyter Notebook
10.
Which trend enables data processing on local devices?
a)
Cloud AI
b)
Edge AI
c)
Distributed AI
d)
Macro AI
11.
What does Explainable AI aim to achieve?
a)
Make AI slower
b)
Hide AI’s internal workings
c)
Make AI decisions understandable
d)
Replace AI with human judgment
12.
Which industry uses AI for predictive maintenance?
a)
Entertainment
b)
Manufacturing
c)
Agriculture
d)
Retail
13.
How does AI help doctors in healthcare?
a)
Replacing them in surgeries
b)
Performing physical exams
c)
Analyzing medical images for faster diagnoses
d)
Dispensing medicine automatically
14.
Which AI branch processes human language?
a)
Computer Vision
b)
Natural Language Processing (NLP)
c)
Deep Learning
d)
Recommendation Systems
15.
Which branch of AI is used in facial recognition?
a)
Reinforcement Learning
b)
NLP
c)
Computer Vision
d)
Robotics
16.
What enables AI systems to learn from data and improve over time?
a)
Hardware upgrades
b)
Static programming
c)
Machine Learning
d)
Software loops
17.
Which industry uses recommendation systems extensively?
a)
Factories
b)
Hospitals
c)
Streaming services
d)
Construction companies
18.
Which tool helps reduce bias in AI models?
a)
Teachable Machine
b)
IBM Fairness 360
c)
RunwayML
d)
Azure Cognitive Services
19.
Which platform allows image classification without coding?
a)
TensorFlow
b)
PyTorch
c)
Teachable Machine
d)
MXNet
20.
Which type of learning is based on trial and error?
a)
Supervised Learning
b)
Unsupervised Learning
c)
Reinforcement Learning
d)
Batch Learning
21.
Which era introduced deep learning and human-level AI image recognition?
a)
1950s
b)
1980s
c)
2000s-2010s
d)
2020s
22.
Which component acts as the 'muscle' of AI systems?
a)
Algorithms
b)
Data
c)
Computing Power
d)
Networks
23.
What role do humans play in AI development?
a)
No role at all
b)
Only data cleaning
c)
Guide and supervise the AI lifecycle
d)
Only test final models
24.
Which tool allows image classification without writing code?
a)
TensorFlow
b)
Jupyter Notebook
c)
Teachable Machine
d)
IBM Watson
25.
Which platform generates images from text prompts?
a)
GPT-3
b)
Jukebox
c)
DALL·E
d)
PyTorch
26.
Which platform is used for AI-generated music?
a)
Synthesia
b)
DALL·E
c)
Jukebox
d)
SoundHound
27.
What is the primary function of IBM Fairness 360?
a)
Fast training
b)
Low memory usage
c)
Reduce AI bias
d)
GUI creation
28.
What does Edge AI refer to?
a)
Running AI on the cloud
b)
Processing data locally on devices
c)
Using quantum computers
d)
AI in data centers
29.
Explainable AI (XAI) is designed to:
a)
Confuse users
b)
Obfuscate logic
c)
Make AI decisions understandable
d)
Accelerate model speed
30.
Which is a no-code AI platform?
a)
PyTorch
b)
Jupyter Notebook
c)
Google AutoML
d)
Anaconda
31.
Which industry uses AI for product personalization?
a)
Construction
b)
Retail
c)
Agriculture
d)
Education
32.
In which sector does AI assist with medical image analysis?
a)
Entertainment
b)
Finance
c)
Manufacturing
d)
Healthcare
33.
AI helps detect fraud in which industry?
a)
Retail
b)
Finance
c)
Manufacturing
d)
Education
34.
Predictive maintenance in AI aims to reduce:
a)
Hiring
b)
Equipment breakdowns
c)
Manual inspections
d)
Product defects
35.
AI enhances education by:
a)
Eliminating teachers
b)
Creating personalized learning
c)
Grading in bulk
d)
Avoiding exams
36.
Which tool allows AI-generated video editing and effects?
a)
RunwayML
b)
DALL·E
c)
TensorBoard
d)
DreamBooth
37.
Which learning uses labeled data?
a)
Unsupervised Learning
b)
Reinforcement Learning
c)
Supervised Learning
d)
Backpropagation
38.
Which AI learning uses a reward-punishment mechanism?
a)
Reinforcement Learning
b)
Transfer Learning
c)
Gradient Descent
d)
Weak Learning
39.
Which learning method uses unlabeled data to find patterns?
a)
Reinforcement
b)
Unsupervised Learning
c)
Supervised
d)
Pattern Recognition
40.
Jupyter Notebook is commonly used for:
a)
Chatbot creation
b)
Code-based AI development
c)
AI art generation
d)
Low-code dashboards
41.
Which AI platform uses dynamic computational graphs?
a)
TensorFlow
b)
PyTorch
c)
Azure ML
d)
MATLAB
42.
Which AI platform is developed by Google?
a)
PyTorch
b)
MXNet
c)
TensorFlow
d)
Keras
43.
Which platform uses static computational graphs?
a)
TensorFlow
b)
PyTorch
c)
Teachable Machine
d)
Hugging Face
44.
Which of the following is NOT a use case of Computer Vision?
a)
Facial recognition
b)
Stock prediction
c)
Object detection
d)
Image classification
45.
Why are no-code platforms popular in business?
a)
Require programming knowledge
b)
Limited access
c)
Enable users without coding skills
d)
Offer minimal customization
46.
A limitation of no-code tools is:
a)
Too much flexibility
b)
Difficult interfaces
c)
Limited scalability and customization
d)
High-level algorithm control
47.
AI-powered chatbots offer:
a)
Manual response
b)
24/7 automated support
c)
Static replies
d)
Limited interactivity
48.
Why do companies adopt AI?
a)
Public relations
b)
Manual tracking
c)
Economic and efficiency benefits
d)
Hardware marketing
49.
Which concept focuses on AI decision transparency?
a)
Hardcoded logic
b)
Explainable AI
c)
Swarm intelligence
d)
Random forest
50.
Low-code platforms are best described as:
a)
Only for developers
b)
Code-free
c)
Mix of code and visual tools
d)
No customization
51.
AI in logistics can optimize:
a)
Office layout
b)
Delivery routes
c)
Hiring
d)
Pricing
52.
How is AI used in agriculture?
a)
Budget planning
b)
Crop monitoring with sensors
c)
Product branding
d)
Soil transport
53.
AI Dungeon is an example of:
a)
Surveillance AI
b)
Medical AI
c)
Interactive storytelling AI
d)
Game cheating tool
54.
Netflix uses which AI system for personalization?
a)
Computer Vision
b)
NLP
c)
Recommendation Systems
d)
Reinforcement Learning
55.
AI helps the entertainment industry by:
a)
Removing artists
b)
Personalizing content
c)
Reducing content
d)
Blocking platforms
56.
How can AI assist in grading students?
a)
Automated assessments and feedback
b)
Removing marks
c)
Submitting on behalf of students
d)
None of the above
57.
A major ethical concern in AI is:
a)
Training time
b)
Compute cost
c)
Dataset bias
d)
Number of layers
58.
AI in customer service improves:
a)
Waiting time
b)
Instant support
c)
Confusion
d)
Paper forms
59.
AI models are tailored based on:
a)
Random logic
b)
Hardware limitations
c)
Project-specific goals
d)
Alphabetical features
60.
Teachable Machine is an example of:
a)
Reinforcement environment
b)
Advanced analytics platform
c)
AI-human collaboration tool
d)
Finance AI tool