Q.1 MCQs – Answers
Which AI type can perform only one specific task at a time?
Answer : c) Narrow AI
AI in Google Maps mainly helps users by
Answer: c) Predicting traffic and routes
Which Machine Learning type uses trial and error with rewards?
Answer: c) Reinforcement Learning
Face recognition systems mainly use
Answer: b) Computer Vision
Sentiment analysis is used to
Answer: c) Understand emotions in text
Q.2 Fill in the Blanks – Answers
AI systems learn and improve using large amounts of data.
AI that can think like humans is called strong AI.
Machine Learning is different from traditional programming because it learns from data.
Deep Learning uses neural networks to process complex data.
NLP helps AI understand binary language
Q.3 Match the Following (Real-Life Use Mapping)
Column A
Column B
1. Supervised Learning
c) Spam email detection
2. Unsupervised Learning
a) Learning without labels
3. Computer Vision
b) Detects plant diseases
4. NLP
e) Chatbots & translation
5. Reinforcement Learning
d) Trial and error learning
Q.4 Short Answer Questions
1. Explain two differences between Machine Learning and Traditional Programming.
Q.3 Match the Following (Real-Life Use Mapping)
Column A
Column B
1. Supervised Learning
c) Spam email detection
2. Unsupervised Learning
a) Learning without labels
3. Computer Vision
b) Detects plant diseases
4. NLP
e) Chatbots & translation
5. Reinforcement Learning
d) Trial and error learning
Q.4 Short Answer Questions
1. Explain two differences between Machine Learning and Traditional Programming.
Traditional Programming: Programmer writes fixed rules and the computer follows them.
Machine Learning: The computer learns patterns automatically from data.
Traditional Programming: Output depends on predefined rules.
Machine Learning: Output improves over time as the system learns from more data.
2. How does AI help farmers in detecting plant diseases?
AI uses computer vision and image analysis to scan pictures of plant leaves.
It compares them with a large database of plant diseases and identifies the disease early, helping farmers take quick treatment and increase crop yield.
3. Write two real-life applications of Deep Learning.
Face recognition systems in mobile phones.
Self-driving cars for object and road detection.
4. Why is ethical use of AI important? Mention any one risk.
Ethical use of AI is important to ensure fairness, privacy, and safety of people.
One risk: AI systems may misuse personal data or invade privacy if not used responsibly.
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