[ CBSE CLASS 7 / ARTIFICIAL INTELLIGENCE / CHAPTER 1 / 2026-27 ]
Class 7 AI: AI Domains – Questions and Answers
The Class 7 AI Domains chapter explains the main kinds of AI tasks: classification (sorting into labels), regression (predicting a number), clustering (finding groups without labels), computer vision (understanding images) and natural language processing (understanding text and speech). Students learn to match a real problem to the right domain.
[ WORKED EXAMPLE ]
An app predicts tomorrow’s temperature as a number, such as 31°C. Which type of AI task is this?
Answer: Regression.
- The output is a number on a scale, not a category.
- Predicting a number is regression.
- Classification would answer with a label like “hot” or “cold”.
What this chapter is about
Students meet the families of AI tasks and the kind of answer each one gives: a label, a number, a group, an understanding of an image, or an understanding of language.
The CT skill is abstraction: ignore the surface story (cricket, crops, shopping) and ask what the output looks like.
Telling classification from clustering is the trickiest step: classification learns from labelled examples, clustering finds groups on its own.
[ HANDS-ON ACTIVITY ]
Sort it: which AI domain?
Look at what the AI has to understand: pictures, language, or numbers in tables.
6 left · choose an item
Where does “Reading car number plates at a toll gate” belong?
[ PRACTICE MODE / 6 QUESTIONS ]
Try it yourself
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An app predicts tomorrow’s temperature as a number, such as 31°C. Which type of AI task is this?
All AI Domains questions with answers
Try each one first, then open it to check the answer and the reasoning.
Q1An app predicts tomorrow’s temperature as a number, such as 31°C. Which type of AI task is this?
- Classification
- Regression
- Clustering
- Computer vision
Answer: B. Regression
Hint: Is the answer a label or a number?
- The output is a number on a scale, not a category.
- Predicting a number is regression.
- Classification would answer with a label like “hot” or “cold”.
Skill: Abstraction · Level: easy · Report an error
Q2An email service puts each message into “spam” or “not spam”. Which type of task is this?
- Classification
- Regression
- Clustering
- Robotics
Answer: A. Classification
Hint: How many possible answers are there, and are they labels?
- There are two labels: spam and not spam.
- Choosing a label for each item is classification.
- The model learned from emails already labelled by people.
Skill: Abstraction · Level: easy · Report an error
Q3A shop groups its customers by shopping habits, but nobody has labelled the groups in advance. Which task is this?
- Classification
- Regression
- Clustering
- Translation
Answer: C. Clustering
Hint: No labels exist yet. The AI must find the groups itself.
- Classification needs labelled examples; here there are none.
- The AI finds customers who are similar and puts them together.
- Finding groups without labels is clustering.
Skill: Pattern recognition · Level: medium · Report an error
Q4A camera at a toll plaza reads vehicle number plates. Which AI domain is this?
- Natural language processing
- Computer vision
- Regression
- Clustering
Answer: B. Computer vision
Hint: What does the AI have to look at?
- The input is a camera image.
- Understanding images and video is computer vision.
- It finds the plate in the image and reads the characters.
Skill: Abstraction · Level: easy · Report an error
Q5A chatbot understands a question typed in Hindi and replies. Which AI domain is this?
- Computer vision
- Natural language processing
- Clustering
- Regression
Answer: B. Natural language processing
Hint: The input is human language.
- The chatbot must understand words and sentences.
- Working with text and speech is natural language processing (NLP).
- It then writes a reply in natural language.
Skill: Abstraction · Level: easy · Report an error
Q6What is the key difference between classification and clustering?
- Classification learns from labelled examples; clustering finds groups without labels
- Clustering always gives a number
- Classification only works on images
- There is no difference
Answer: A. Classification learns from labelled examples; clustering finds groups without labels
Hint: Think about whether the right answers are known in advance.
- In classification, examples come with labels (cat, dog), and the model learns to predict them.
- In clustering, no labels are given; the AI groups similar items itself.
- So the difference is labelled versus unlabelled data.
Skill: Pattern recognition · Level: challenge · Report an error
Frequently asked questions
What does the Class 7 AI Domains AI chapter cover?
The Class 7 AI Domains chapter explains the main kinds of AI tasks: classification (sorting into labels), regression (predicting a number), clustering (finding groups without labels), computer vision (understanding images) and natural language processing (understanding text and speech). Students learn to match a real problem to the right domain.
Which computational thinking skills does AI Domains use?
AI Domains mainly practises abstraction, pattern recognition. It links to Part 2: Artificial Intelligence.
Where are the official CBSE AI Domains questions?
The official questions are in the CBSE Class 7 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.