Artificial Intelligence-10th Questions
Browse 294 Artificial Intelligence questions with expert-verified, step-by-step solutions — NCERT, exemplar and previous-year questions, organised by chapter.
- Q41 CBSE Board 2023Under _________, one looks at various parameters which affect the problem we wish to solve, as this would make many lives better.
- Q42 CBSE Board 2023Smart Assistants such as Alexa, Siri are the examples of :
- (a)Natural Language Processing
- (b)Data Science
- (c)Machine Learning
- (d)Computer Vision
- Q43 CBSE Board 20234Ws Problem Canvas is a part of :
- (a)Problem Scoping
- (b)Data Acquisition
- (c)Modelling
- (d)Evaluation
- Q44 CBSE Board 2023Explain any one example of AI bias.
- Q45 CBSE Board 2023What is the significance of AI project cycle ? Also explain in detail about how Data Acquisition is different from data exploration.
- Q46 CBSE Board 2026Which learning approach would be most suitable for training an AI model to park the car correctly ?
- (a)Supervised Learning
- (b)Unsupervised Learning
- (c)Transfer Learning
- (d)Reinforcement Learning
- Q47 CBSE Board 2026Artificial Neural Networks are inspired by :
- (a)Computer circuits
- (b)Mathematical equations
- (c)Human brain and nervous system
- (d)Internet networks
- Q48 CBSE Board 2026An e-commerce platform analyzes customer purchase patterns to recommend “Customers who bought product X also bought product Y.” This uses :
- (a)Classification model
- (b)Regression model
- (c)Association model
- (d)Clustering model
- Q49 CBSE Board 2026In unsupervised learning, the machine’s primary task is to :
- (a)Predict specific outputs.
- (b)Identify patterns and relationships in unlabelled data.
- (c)Classify data into pre-defined categories.
- (d)Learn from rewards only.
- Q50 CBSE Board 2026A music streaming service groups songs by tempo and intensity to understand user preferences. This is an example of :
- (a)Supervised learning – Classification
- (b)Unsupervised learning – Clustering
- (c)Reinforcement learning
- (d)Supervised learning – Regression
- Q51 CBSE Board 2026Which scenario best represents a regression problem ?
- (a)Identifying whether an email is spam.
- (b)Grouping customers by behaviour.
- (c)Predicting tomorrow’s temperature.
- (d)Recognizing faces in photos.
- Q52 CBSE Board 2026A company wants to detect manufacturing defects where examples of both normal and defective products are available. They should use :
- (a)Unsupervised learning
- (b)Reinforcement learning
- (c)Association rules
- (d)Supervised learning
- Q53 CBSE Board 2026Give any two characteristics of a Classification Model.
- Q54 CBSE Board 2026Give any two characteristics of Artificial Neural Networks.
- Q55 CBSE Board 2026Give two differences between Supervised and Unsupervised learning.
- Q56 CBSE Board 2026Provide one real-world application each of Supervised Learning and Unsupervised Learning.
- Q57 CBSE Board 2026Differentiate between Deep Learning, Artificial Intelligence and Machine Learning. Also draw a labelled Venn diagram depicting the relationship between AI, ML and DL.
- Q58 CBSE Board 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 :
- (i)Predicting a patient’s blood pressure reading will be 120/80 mmHg based on age, weight, and lifestyle factors.
- (ii)Forecasting that 2,847 units of a product will be sold next month based on past sales data and market trends.
- (iii)Determining if a patient has “diabetes” or “no diabetes” based on glucose levels and other medical parameters.
- (iv)Predicting that a company’s share price will be ₹ 1,250.75 tomorrow based on market indicators and company performance.
- Q59 CBSE Board 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 :
- Q60 CBSE Board 2026
- (a)Explain Reinforcement Learning with an example.
- (b)A drawback of Rule Based Approach is that learning is static. Explain the given statement.