[ CBSE CLASS 6 / ARTIFICIAL INTELLIGENCE / CHAPTER 3 / 2026-27 ]
Class 6 AI: Simple Pattern Recognition and Decision Making – Questions and Answers
The Simple Pattern Recognition and Decision Making chapter shows how AI sorts things into groups using clues (features) and makes choices using if–then rules or decision trees. Students build and run simple decision trees and see why labelled examples are needed to train a model.
[ WORKED EXAMPLE ]
Sorting fruits into groups by their colour and shape is called…
Answer: Classification.
- Each fruit is placed in a group based on its features.
- Putting items into labelled groups is classification.
- AI uses classification to sort photos, emails and more.
What this chapter is about
Students learn that AI recognises patterns by looking at features, such as colour, shape or certain words, and uses them to classify new examples.
Decision trees turn a choice into a series of yes/no questions, a clear link between computational thinking and AI.
They see that models learn from labelled examples and can still make mistakes when patterns overlap.
[ INTERACTIVE DEMO / NO CODE ]
Train your own fruit classifier
Add training examples by tapping the chart, then switch to Test and tap anywhere. The AI looks at the 3 nearest examples and votes. The shaded areas show what it has learned. Try adding a mango among the lemons and watch the boundary move.
Think about it: what happens with only one example of each fruit? Why do wrong or unbalanced examples move the boundary? This is why real AI needs lots of varied, correctly labelled data.
[ PRACTICE MODE / 6 QUESTIONS ]
Try it yourself
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Sorting fruits into groups by their colour and shape is called…
All Simple Pattern Recognition and Decision Making questions with answers
Try each one first, then open it to check the answer and the reasoning.
Q1Sorting fruits into groups by their colour and shape is called…
- Classification
- Printing
- Deleting
- Translation
Answer: A. Classification
Hint: You are putting each item into a group (a class).
- Each fruit is placed in a group based on its features.
- Putting items into labelled groups is classification.
- AI uses classification to sort photos, emails and more.
Skill: Pattern recognition · Level: easy · Report an error
Q2A decision tree says: “If it is raining, take an umbrella. Otherwise, if it is sunny, take a cap. Otherwise, take nothing.” It is sunny. What do you take?
- An umbrella
- A cap
- Nothing
- Both
Answer: B. A cap
Hint: Follow the questions from the top, one at a time.
- Is it raining? No, so skip the umbrella.
- Is it sunny? Yes.
- Take a cap.
Skill: Algorithmic thinking · Level: easy · Report an error
Q3Which clue would most help a spam filter spot a spam email?
- Words like “You won a prize! Click now!”
- The email was sent on a Tuesday
- The email uses full stops
- The email has a subject line
Answer: A. Words like “You won a prize! Click now!”
Hint: Which feature appears much more often in spam than in normal mail?
- Almost every email has a subject line and full stops.
- The day it was sent tells you little.
- Prize-and-urgency words are a strong pattern in spam.
Skill: Pattern recognition · Level: medium · Report an error
Q4To teach a computer to tell cats from dogs, what do you need first?
- Many photos of cats and dogs, each labelled correctly
- One photo of a cat
- A faster computer only
- Photos with no labels
Answer: A. Many photos of cats and dogs, each labelled correctly
Hint: How would the computer know which photos are cats?
- A model learns from examples where the right answer is known.
- One photo is not enough to learn a pattern.
- Many correctly labelled cat and dog photos are needed.
Skill: Pattern recognition · Level: medium · Report an error
Q5An app notices you watch cricket videos every evening. What will it most likely suggest?
- More cricket videos
- Cooking videos only
- Nothing at all
- Random videos with no pattern
Answer: A. More cricket videos
Hint: Recommendation systems use patterns in what you did before.
- The app records what you watch.
- It finds the pattern: cricket, every evening.
- It suggests more cricket videos.
Skill: Pattern recognition · Level: easy · Report an error
Q6A model labels a photo of a wolf as a dog. What is the best explanation?
- It learned features that wolves and dogs share, and made a wrong prediction
- The model is broken and must be thrown away
- Wolves are dogs
- AI never makes mistakes, so the photo is wrong
Answer: A. It learned features that wolves and dogs share, and made a wrong prediction
Hint: What do wolves and dogs have in common?
- Wolves and dogs share many features: fur, ears, snout and shape.
- The model matched those features to “dog”.
- Models predict from patterns and can be wrong; more varied training data can help.
Skill: Abstraction · Level: challenge · Report an error
Frequently asked questions
What does the Class 6 Simple Pattern Recognition and Decision Making AI chapter cover?
The Simple Pattern Recognition and Decision Making chapter shows how AI sorts things into groups using clues (features) and makes choices using if–then rules or decision trees. Students build and run simple decision trees and see why labelled examples are needed to train a model.
Which computational thinking skills does Simple Pattern Recognition and Decision Making use?
Simple Pattern Recognition and Decision Making mainly practises pattern recognition, algorithmic thinking. It links to Part 2: Artificial Intelligence.
Where are the official CBSE Simple Pattern Recognition and Decision Making questions?
The official questions are in the CBSE Class 6 Computational Thinking and AI handbook for 2026-27, free on the CBSE Academic website. The practice on this page is original and mapped to the same chapter.