Class 10 Artificial Intelligence

Advanced Concepts of Modeling in AI

37 Class 10 Artificial Intelligence questions on Advanced Concepts of Modeling in AI from the CBSE board papers 2023–2026, each with its answer and a step-by-step solution.

Questions · page 1 of 2

1. Q1 CBSE 2026
   Which ​learning approach would ​be most ​suitable ​for training an AI ​model to park ​the car ​correctly ?

   1. (a)Supervised Learning
   2. (b)Unsupervised Learning
   3. (c)Transfer Learning
   4. (d)Reinforcement Learning
   Show answer

   (d) Reinforcement Learning

   Step-by-step solution →
2. Q2 CBSE 2026
   Artificial ​Neural ​Networks ​are inspired by :

   1. (a)Computer circuits
   2. (b)Mathematical equations
   3. (c)Human brain and nervous system
   4. (d)Internet networks
   Show answer

   (c) Human brain and nervous system

   Step-by-step solution →
3. Q3 CBSE 2026
   An ​e-commerce ​platform analyzes ​customer ​purchase ​patterns to recommend “Customers who ​bought product X also ​bought product Y.” This uses :

   1. (a)Classification model
   2. (b)Regression model
   3. (c)Association model
   4. (d)Clustering model
   Show answer

   (c) Association model

   Step-by-step solution →
4. Q4 CBSE 2026
   In ​unsupervised ​learning, ​the machine’s primary task ​is ​to :

   1. (a)Predict specific outputs.
   2. (b)Identify patterns and relationships in unlabelled data.
   3. (c)Classify data into pre-defined categories.
   4. (d)Learn from rewards only.
   Show answer

   (b) Identify patterns and relationships in unlabelled data.

   Step-by-step solution →
5. Q5 CBSE 2026
   A ​music streaming service ​groups ​songs by tempo and intensity to ​understand user ​preferences. This is ​an example of ​:

   1. (a)Supervised learning – Classification
   2. (b)Unsupervised learning – Clustering
   3. (c)Reinforcement learning
   4. (d)Supervised learning – Regression
   Show answer

   (b) Unsupervised learning – Clustering

   Step-by-step solution →
6. Q6 CBSE 2026
   Which ​scenario best ​represents a ​regression ​problem ​?

   1. (a)Identifying whether an email is spam.
   2. (b)Grouping customers by behaviour.
   3. (c)Predicting tomorrow’s temperature.
   4. (d)Recognizing faces in photos.
   Show answer

   (c) Predicting tomorrow’s temperature.

   Step-by-step solution →
7. Q7 CBSE 2026
   A ​company wants to detect manufacturing ​defects where examples of both ​normal and defective products ​are available. They ​should ​use ​:

   1. (a)Unsupervised learning
   2. (b)Reinforcement learning
   3. (c)Association rules
   4. (d)Supervised learning
   Show answer

   (d) Supervised learning

   Step-by-step solution →
8. Q8 CBSE 2026
   Give any ​two ​characteristics ​of ​a Classification ​Model.
   Show answer

   It learns from labelled data and sorts each input into one of a fixed set of classes.

   A classification model is a type of supervised learning model, trained on labelled data. It works on discrete data, sorting each input into one of the fixed labelled classes.

   Step-by-step solution →
9. Q9 CBSE 2026
   Give ​any two ​characteristics ​of ​Artificial Neural Networks.
   Show answer

   They are modelled on the human brain and extract features from data automatically, without input from the programmer.

   Artificial Neural Networks are modelled on the human brain and nervous system. They automatically extract features from data without any input from the programmer.

   Step-by-step solution →
10. Q10 CBSE 2026
    Give ​two ​differences ​between ​Supervised and Unsupervised learning.
    Show answer

    Supervised learning uses labelled data to predict known outcomes; unsupervised learning finds hidden patterns in unlabelled data.

    Supervised learning uses labelled data; unsupervised learning uses unlabelled data. Supervised learning predicts known outcomes from those labels; unsupervised learning discovers hidden patterns or groupings in unknown data.

    Step-by-step solution →
11. Q11 CBSE 2026
    Provide ​one ​real-world ​application ​each of Supervised Learning ​and Unsupervised Learning.
    Show answer

    Email spam detection uses supervised learning; customer segmentation in supermarkets uses unsupervised learning.

    Supervised Learning: email spam detection, trained on labelled spam and not-spam emails. Unsupervised Learning: customer segmentation in supermarkets, grouping shoppers by purchase patterns without labels.

    Step-by-step solution →
12. Q12 CBSE 2026
    Differentiate between Deep Learning, Artificial ​Intelligence ​and Machine Learning. Also ​draw a labelled Venn ​diagram depicting the ​relationship ​between ​AI, ML and DL.
    Show answer

    AI mimics human intelligence; ML, a subset of AI, improves with experience; DL, a subset of ML, trains itself on vast data.

    Artificial Intelligence is any technique that enables a computer to mimic human intelligence. Machine Learning, a subset of AI, enables a machine to improve at a task with experience, learning from the new data fed to it. Deep Learning, a subset of ML, enables software to train itself on vast amounts of data using several machine learning algorithms together. In the Venn diagram DL lies inside ML, and ML lies inside AI.

    Step-by-step solution →
13. Q13 CBSE 2026
    (a) Differentiate between Classification Model and Regression ​Model. (b) Study the following real-world applications and identify whether each represents a Classification Model or ​a Regression Model :

    1. (i)Predicting a patient’s ​blood pressure reading will be ​120/80 mmHg based on age, weight, and ​lifestyle factors.
    2. (ii)Forecasting that 2,847 units of a ​product will be sold next month based on past sales data and market trends.
    3. (iii)Determining if a patient has “diabetes” or “no diabetes” based on glucose levels and other medical parameters.
    4. (iv)Predicting that ​a company’s share price will be ₹ 1,250.75 tomorrow based on market indicators and company performance.
    Show answer

    Classification predicts discrete classes and regression predicts continuous numerical values; (i), (ii) and (iv) are regression, (iii) is classification.

    (a) A Classification Model predicts discrete categories or classes; its output is categorical, such as spam or not spam, and it works with discrete datasets. A Regression Model predicts continuous numerical values; its output is numerical, such as a price or a temperature, and it works with continuous datasets. (b) (i) Regression Model. (ii) Regression Model. (iii) Classification Model. (iv) Regression Model.

    Step-by-step solution →
14. Q14 CBSE 2026
    (A) Expand and ​define the terms CNN ​and ANN. (B) ​In the diagram ​of neural network given below, ​identify the layer that ​should be depicted ​in Box 1 ​and Box 2 :

    Show answer

    CNN is a deep learning algorithm for images, ANN a brain-modelled network; Box 1 is the Input Layer and Box 2 a Hidden Layer.

    (A) CNN is a Convolutional Neural Network, a deep learning algorithm that takes in an input image, assigns importance to the various aspects and objects in it and is able to tell one from another. ANN is an Artificial Neural Network, modelled on the human brain and nervous system, which extracts features automatically without any input from the programmer. (B) Box 1 is the Input Layer and Box 2 is a Hidden Layer.

    Step-by-step solution →
15. Q15 CBSE 2026
    1. (a)​Explain ​Reinforcement Learning with an example.
    2. (b)​A drawback of Rule Based ​Approach is ​that learning ​is static. Explain the given ​statement.
    Show answer

    Reinforcement learning is trial and error with rewards and penalties; rule-based learning is static because a trained machine ignores changes in training data.

    (a) In Reinforcement Learning an agent learns by trial and error: it acts on its environment and receives a reward for a good action and a penalty for a bad one. Example: an AI playing chess is rewarded for a winning move and penalised for a losing one. (b) Learning is static because the machine, once trained, takes no account of changes in the training data, so it fails on data unlike the rules it was fed.

    Step-by-step solution →
16. Q16 CBSE 2025
    Read ​the Assertion (A) and ​the ​Reason (R) ​given below ​and select the ​correct option.

    Assertion (A): When a machine is able to mimic human traits, it is said to be artificially intelligent.

    Reason (R): A fully automatic washing machine is artificially intelligent.

    1. (a)Both (A) and (R) are correct and (R) is the correct explanation of (A).
    2. (b)Both (A) and (R) are correct and (R) is not the correct explanation of (A).
    3. (c)(A) is correct but (R) is not correct.
    4. (d)(A) is not correct but (R) is correct.
    Show answer

    (c) (A) is correct but (R) is not correct.

    Step-by-step solution →
17. Q17 CBSE 2025
    ___________ enables ​computers ​to ​mimic ​human intelligence.

    1. (a)Cloud Computing
    2. (b)Artificial Intelligence
    3. (c)Web Development
    4. (d)Data Entry
    Show answer

    (b) Artificial Intelligence

    Step-by-step solution →
18. Q18 CBSE 2025
    Machine learning ​and Deep learning ​are ​part ​of Artificial ​Intelligence, but not ​everything that is Machine learning ​will ​be Deep learning.
    Show answer

    True

    Step-by-step solution →
19. Q19 CBSE 2025
    The ​following ​diagram indicates ​:

    1. (a)Classification
    2. (b)Regression
    3. (c)Reinforcement learning
    4. (d)Clustering
    Show answer

    (b) Regression

    Step-by-step solution →
20. Q20 CBSE 2025
    Which ​form of learning-based approach does ​the following ​diagram ​indicate ​?

    1. (a)Clustering
    2. (b)Classification
    3. (c)Regression
    4. (d)Dimensionally Reduction
    Show answer

    (b) Classification

    Step-by-step solution →