CBSE Class 10 · Artificial Intelligence · board exam 2027
CBSE Class 10 Artificial Intelligence Question Paper 2023
The board’s 2023 question paper, set 104 — all 46 questions as printed; 20 objective answers from the board’s own key; full model answers for 3 written questions, how the answer begins for 23 more. Each question names its chapter, where that chapter’s most-asked questions are.
Section A · Written questions (30)
Which of the following is not a task of an entrepreneur ?
- (A) Sharing of wealth
- (B) Preferably using foreign materials ✓
- (C) Fulfilling customer needs
- (D) Helping society
Answer (the board’s key): (B)
GUI stands for :
- (A) Graphical User Interaction
- (B) Graphical User Interface ✓
- (C) Graphical Upper Interface
- (D) None of these
Answer (the board’s key): (B)
Which of the following is a function of an entrepreneur ?
- (A) Following the traditional method of business
- (B) Innovation ✓
- (C) Keeping all the profit to himself/herself
- (D) Avoid taking decisions
Answer (the board’s key): (B)
Right clicking on File or Folder opens
- (A) Main Menu
- (B) Shortcut Menu ✓
- (C) Back Menu
- (D) Front Menu
Answer (the board’s key): (B)
Stress management is vital because it leads to following benefits :
- (A) Improves mood
- (B) Boosts immune system
- (C) Promotes longevity
- (D) All of the above ✓
Answer (the board’s key): (D)
Which of the following is an inner urge to do something, achieve their goals without any external pressure / lure for award or appreciation ?
- (A) Self-awareness
- (B) Self-motivation ✓
- (C) Self-regulation
- (D) Self-control
Answer (the board’s key): (B)
Two popular examples of pocket assistants are ____ and ____.
Medha Ma’am
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Model answer · pocket assistants, examples
- 1.Two popular examples of pocket assistants are Siri and Google Assistant.1 mark
- Name both Siri and Google Assistant to earn full credit.
- Cortana or Alexa can also be written as alternatives to either example.
Marks split from a structure derived from past papers (checked twice); not CBSE’s official scheme
This is a fact that all human beings have all nine types of intelligences, but at different levels. Name any two such intelligences.
Medha Ma’am
AskMedha’s AI teacher
Model answer · types of multiple intelligences
- 1.Two such intelligences that all human beings possess at different levels are Linguistic Intelligence and Logical-Mathematical Intelligence.1 mark
- Name exactly two intelligences, such as linguistic and logical-mathematical.
Marks split from a structure derived from past papers (checked twice); not CBSE’s official scheme
Identify the incorrect statements from the following : (i) AI models can be broadly categorized into four domains. (ii) Data sciences is one of the domain of AI model. (iii) Price comparison websites are examples of data science. (iv) The information extracted through data science can be used to make decision about it.
- (A) Only (iv)
- (B) (iii) and (iv)
- (C) Only (i) ✓
- (D) (ii) and (iii)
Answer (the board’s key): (C)
During Data Acquisition, feeding previous data into the machine is called :
- (A) Training Data ✓
- (B) Predicting Data
- (C) Testing Data
- (D) Evaluating Data
Answer (the board’s key): (A)
Regression is one of the type of supervised learning model, where data is classified according to labels and data need not to be continuous. (True / False)
Medha Ma’am
AskMedha’s AI teacher
Model answer · regression, supervised learning
- 1.The given statement is False. Regression is a type of supervised learning model, but it deals with continuous data, not data classified according to labels. In regression, the data is continuous in nature, which makes the statement false.1 mark
- Start the answer by clearly writing 'False'.
- Mention that regression deals with continuous data, not labelled data.
- Use the exact word 'continuous' while explaining why the statement is false.
Marks split from a structure derived from past papers (checked twice); not CBSE’s official scheme
Which of the following is defined as the measure of balance between precision and recall ?
- (A) Accuracy
- (B) F1 Score ✓
- (C) Reliability
- (D) Punctuality
Answer (the board’s key): (B)
Email filters, spam filters, smart assistants are the examples of :
- (A) Pocket Assistants
- (B) CV
- (C) NLP ✓
- (D) Evaluation
Answer (the board’s key): (C)
Select the correct features of Smart Bot :
- (A) Smart-bots are flexible and powerful
- (B) Coding is required to take this up on board
- (C) Smart bots work on bigger databases and other resources directly
- (D) All of the above ✓
Answer (the board’s key): (D)
For ________ the whole corpus is divided into sentences. Each sentence is taken as a different data so now the whole corpus gets reduced to sentences.
- (A) Text Regulation
- (B) Sentence Segmentation ✓
- (C) Tokenisation
- (D) Stemming
Answer (the board’s key): (B)
________ helps to find the best model that represents our data and how well the chosen model will work in future.
How the model answer begins
1. Evaluation helps to find the best model that represents our data and how well the chosen model will work in future.
The full answer from Medha Ma’am →While evaluating a model's performance, recall parameter considers ________. (i) False positive (ii) True positive (iii) False negative (iv) True negative Choose the correct option :
- (A) only (i)
- (B) (ii) and (iii) ✓
- (C) (iii) and (iv)
- (D) (i) and (iv)
Answer (the board’s key): (B)
With reference to NLP, consider the following plot of occurrence of words versus their value : In the given graph, X represents :
- (A) Rare / valuable words ✓
- (B) Punctuation words
- (C) Popular words
- (D) Pronoun
Answer (the board’s key): (A)
Which of the following is a feature of document classification ?
- (A) Helps in classifying the type and genre of a document. ✓
- (B) Helps in creating a document.
- (C) Helps to display important information of a corpus.
- (D) Helps in including the necessary words in the text body.
Answer (the board’s key): (A)
Two conditions when prediction matches with the reality are true positive and ________.
How the model answer begins
1. True Negative is the condition when the prediction matches with the reality, that is, True Negative (TN) is the outcome of the model correctly predicting the negative class.
The full answer from Medha Ma’am →Which of the following is the correct feature of Neural network ?
- (A) It can improve the efficiency of two models.
- (B) It is useful with small dataset.
- (C) They are modelled on human brains and nervous system. ✓
- (D) They need human intervention.
Answer (the board’s key): (C)
With reference to AI domain, expand the term CV.
How the model answer begins
1. With reference to the AI (Artificial Intelligence) domain, the full form of CV is Computer Vision. In this abbreviation, the letter C stands for Computer and the letter V stands for Vision. So the term CV expands to…
The full answer from Medha Ma’am →Under ________, one looks at various parameters which affect the problem we wish to solve, as this would make many lives better.
How the model answer begins
1. The process of looking at various parameters which affect the problem we wish to solve, as this would make many lives better, is called 'Problem Scoping'.
The full answer from Medha Ma’am →In this learning model, the data set which is fed to the machine is labelled. Name the model.
How the model answer begins
1. The name of this learning model, in which the data set fed to the machine is labelled, is Supervised Learning.
The full answer from Medha Ma’am →________ is a term used for any word or number or special character occurring in a sentence. (Token / Punctuator)
How the model answer begins
1. Token is the term used for any word or number or special character occurring in a sentence.
The full answer from Medha Ma’am →When the prediction matches the reality, the condition is termed as ________.
How the model answer begins
1. True Positive (or True Negative) — the prediction matches the reality.
The full answer from Medha Ma’am →Smart Assistants such as Alexa, Siri are the examples of :
- (A) Natural Language Processing ✓
- (B) Data Science
- (C) Machine Learning
- (D) Computer Vision
Answer (the board’s key): (A)
4Ws Problem Canvas is a part of :
- (A) Problem Scoping ✓
- (B) Data Acquisition
- (C) Modelling
- (D) Evaluation
Answer (the board’s key): (A)
It refers to the unsupervised learning algorithm which can cluster the unknown data according to the patterns or trends identified out of it.
- (A) Regression
- (B) Classification
- (C) Clustering ✓
- (D) Dimensionality reduction
Answer (the board’s key): (C)
Which of the following talks about how true the predictions are by any model ?
- (A) Accuracy ✓
- (B) Reliability
- (C) Recall
- (D) F1 score
Answer (the board’s key): (A)
Section B · Written questions (16)
How does mediation help in Managing Stress ? Discuss briefly.
How the model answer begins
1. Meditation helps in managing stress by calming the mind and reducing stress levels. Doing meditation and deep breathing exercises help in proper blood circulation and relaxes the body, which brings down anxiety and…
The full answer from Medha Ma’am →Give any two key roles performed by an entrepreneur.
How the model answer begins
1. An entrepreneur is always trying new things to create a new method, idea or product. He/she does this to increase their importance and income. This is called innovation, and it is one key role performed by an…
The full answer from Medha Ma’am →Mention any two benefits of working independently.
How the model answer begins
1. Working independently develops a sense of self-confidence and self-esteem in an individual, as the person learns to become self-aware, self-monitoring and self-correcting, and takes the initiative rather than being told…
The full answer from Medha Ma’am →Gurmeet has just bought a new computer for his office. Suggest him any two points which he should keep in mind to prevent his computer from virus infection.
How the model answer begins
1. Gurmeet should always install Anti-virus software on his computer. Anti-viruses monitor the data coming in and out of a computer and prevent viruses from entering, and they can also detect and clean viruses that may…
The full answer from Medha Ma’am →Define the term agricultural entrepreneurship. How are farmers benefitted from it ?
How the model answer begins
1. Agricultural entrepreneurship refers to adopting business activities related to the production, processing, and marketing of agricultural products.
The full answer from Medha Ma’am →Explain any one example of AI bias.
How the model answer begins
1. One example of AI bias is a hiring algorithm which was biased against women applicants. Such a recruitment algorithm prioritizes men over women because of historical data used while building the AI solution.
The full answer from Medha Ma’am →What is Dimensionality Reduction ?
How the model answer begins
1. Dimensionality reduction is the process of reducing the number of features or input variables in a dataset.
The full answer from Medha Ma’am →Define Chatbot. What are its types ?
How the model answer begins
1. A chatbot is a computer program that's designed to simulate human conversation through voice commands or text chats or both. It can learn over time how to best interact with humans. It can answer questions and…
The full answer from Medha Ma’am →Define Confusion Matrix.
How the model answer begins
1. A confusion matrix is a handy presentation of the accuracy of a model with two or more classes, used to evaluate the performance of a classification model.
The full answer from Medha Ma’am →Face lock feature of a smartphone is an example of computer vision. Briefly discuss this feature.
How the model answer begins
1. The face lock feature uses computer vision to identify and analyze the facial features of the user. Through the camera, the machine or the algorithm is able to identify the facial dynamics of the person by scanning the…
The full answer from Medha Ma’am →With reference to data processing, expand the term TFIDF. Also give any two applications of TFIDF.
How the model answer begins
1. TFIDF stands for Term Frequency and Inverse Document Frequency. TFIDF helps us identify the value of each word.
The full answer from Medha Ma’am →Ms. Sooji is a beginner in the field of Artificial Intelligence. She got confused among the core terms like Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). Many a times, these terms are used interchangeably but are they the same ? Justify your answer. Help her in understanding these terms by drawing a well labelled diagram to depict the interconnection of these three fields.
How the model answer begins
1. No — AI, ML and DL are not the same: Machine Learning is a subset of AI, and Deep Learning is a subset of Machine Learning.
The full answer from Medha Ma’am →What is the significance of AI project cycle ? Also explain in detail about how Data Acquisition is different from data exploration.
How the model answer begins
1. The AI Project Cycle provides us with an appropriate framework which can lead us towards the goal, as it is the cyclical process followed to complete an AI project. It gives a structured framework to organize an AI…
The full answer from Medha Ma’am →Create a document vector table from the following documents by implementing all the four steps of Bag of words model. Also depict the outcome of each step. Document 1 : Sameera and Sanya are classmates. Document 2 : Sameera likes dancing but Sanya loves to study mathematics.
How the model answer begins
1. Step 1 – Tokenisation: Document 1 → Sameera, and, Sanya, are, classmates; Document 2 → Sameera, likes, dancing, but, Sanya, loves, to, study, mathematics.
The full answer from Medha Ma’am →Will it be valid to say that not all the devices which are termed as "smart" are AI-enabled ? Justify this statement. Explain any two examples from the daily life which are commonly misunderstood as AI.
How the model answer begins
1. Yes, it is valid to say that not all devices which are termed as 'smart' are AI-enabled. Many devices are marketed as 'smart' simply because they offer automation or connectivity features, but this does not mean they…
The full answer from Medha Ma’am →Recently the country was shaken up by a series of earthquakes which has done a huge damage to the people as well as the infrastructure. To address this issue, an AI model has been created which can predict if there is a chance of earthquake or not. The confusion matrix for the same is : [Figure] (i) How many total cases are True Negative in the above scenario ? (ii) Calculate precision, recall and F1 score.
How the model answer begins
1. The total number of True Negative (TN) cases in the given confusion matrix is 90. True Negatives (TN) are the cases that were correctly predicted as not having a chance of earthquake, while the False Positives (FP) in…
The full answer from Medha Ma’am →
The same preparation, with Medha Ma’am — on your phone
Every question of every chapter with its model answer, practice questions in the board’s own shapes, 60 minutes of class a day, written answers marked, a test every Sunday and a WhatsApp report to parents.
Medha Ma’am is an AI teacher, not a live tutor. Every answer is checked twice; a person takes responsibility.