CLASS 10 ARTIFICIAL INTELLIGENCE QUESTION PAPER 2023 WITH SOLUTIONS
SECTION A: OBJECTIVE TYPE QUESTIONS
1. Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks)
i. Which of the following is not a task of an entrepreneur ?
- Sharing of wealth
- Preferably using foreign materials
- Fulfilling customer needs
- Helping society
Ans: (b) Preferably using foreign materials
ii. GUI stands for :
- Graphical User Interaction
- Graphical User Interface
- Graphical Upper Interface
- None of these
Ans: (b) Graphical User Interface
iii. Which of the following is a function of an entrepreneur ?
- Following the traditional method of business
- Innovation
- Keeping all the profit to himself/herself
- Avoid taking decisions
Ans: (b) Innovation
iv. Right clicking on File or Folder opens
- Main Menu
- Shortcut Menu
- Back Menu
- Front Menu
Ans (b) Shortcut Menu
v. Stress management is vital because it leads to following benefits :
- Improves mood
- Boosts immune system
- Promotes longevity
- All of the above
Ans: (c) All of the above
vi. Which of the following is an inner urge to do something, achieve their goals without any external pressure / lure for award or appreciation?
- Self-awareness
- Self-motivation
- Self-regulation
- Self-control
Ans: (b) Self Motivation
2 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. Two popular examples of pocket assistants are ____ and ____
Ans: Google Assistant, Apple Siri, Amazon Alexa
ii. This is a fact that all human beings have all nine types of intelligences, but at different levels. Name any two such intelligences. (Check 9 intelligences).
Ans: Naturalist Intelligence, Interpersonal Intelligence, Intrapersonal Intelligence, Existential Intelligence, Kinesthetic Intelligence, Musical Intelligence, Mathematical Logical reasoning, Linguistic Intelligence, Spatial Visual Intelligence
iii. Identify the incorrect statements from the following :
- AI models can be broadly categorized into four domains.
- Data sciences is one of the domain of AI model.
- Price comparison websites are examples of data science.
- 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) (i) and (ii)
Ans: (c) Only (i)
iv. During Data Acquisition, feeding previous data into the machine is called :
- Training Data
- Predicting Data
- Testing Data
- Evaluating Data
Ans: (a) Training Data
v. 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)
Ans: False
vi. Which of the following is defined as the measure of balance between precision and recall ?
Ans: F1 Score
3 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. Email filters, spam filters, smart assistants are the examples of :
(a) Pocket Assistants
(b) CV
(c) NLP
(d) Evaluation
Ans: (c) NLP
ii. Select the correct features of Smart Bot :
- Smart-bots are flexible and powerful.
- Coding is required to take this up on board
- Smart bots work on bigger databases and other resources directly
- All of the above
Ans: (d) All of the above
iii. 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.
- Text Regulation
- Sentence Segmentation
- Tokenisation
- Stemming
Ans: (b) Sentence Segmentation
iv. ____ helps to find the best model that represents our data and how well the chosen model will work in future.
Ans: Evaluation
v. While evaluating a model’s performance, recall parameter considers
- False positive
- True positive
- False negative
- True negative
Choose the correct option :
(a) only (i)
(b) (ii) and (iii)
(c) (iii) and (iv)
(d) (i) and (iv)
Ans: (b) (ii) and (iii)
vi. 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
Ans: (a) Rare / valuable words
4 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. Which of the following is a feature of document classification ?
- Helps in classifying the type and genre of a document.
- Helps in creating a document.
- Helps to display important information of a corpus.
- Helps in including the necessary words in the text body
Ans: (a) Helps in classifying the type and genre of a document.
ii. Two conditions when prediction matches with the reality are True positive and ____
Ans: (d) True Negative
iii. Which of the following is the correct feature of Neural network ?
- It can improve the efficiency of two models.
- It is useful with small dataset.
- They are modelled on human brains and nervous system.\
- They need human intervention
Ans: (c) They are modelled on human brains and nervous system.\
iv. With reference to AI domain, expand the term CV.
Ans: Computer Vision
v. Under ____ one looks at various parameters which affect the problem we wish to solve, as this would make many lives better.
Ans: Problem analysis / scoping
vi. In this learning model, the data set which is fed to the machine is labelled. Name the model.
Ans: Supervised Learning
5 Answer any 5 out of the given 6 questions (1 x 5 = 5 marks)
i. ____ is a term used for any word or number or special character Occurring in a sentence. (Token / Punctuator)
Ans: Token
ii. When the prediction matches the reality, the condition is termed as ____
Ans: True Positive
iii. Smart Assistants such as Alexa, Siri are the examples of :
- Natural Language Processing
- Data Science
- Machine Learning
- Computer Vision
Ans: (a) Natural Language Processing
iv. 4Ws Problem Canvas is a part of :
- Problem Scoping
- Data Acquisition
- Modelling
- Evaluation
Ans: (a) Problem Scoping
v. It refers to the unsupervised learning algorithm which can cluster the unknown data according to the patterns or trends identified out of it.
- Regression
- Classification
- Clustering
- Dimensionality reduction
Ans: (c) Clustering
vi. Which of the following talks about how true the predictions are by any model ?
- Accuracy
- Precision
- Recall
- F1 Score
Ans: (a) Accuracy
SECTION B: SUBJECTIVE TYPE QUESTIONS
Answer any 3 out of the given 5 questions on Employability Skills (2 x 3 = 6 marks)
Answer each question in 20 – 30 words.
6. How does mediation help in Managing Stress ? Discuss briefly.
Ans:
- It helps to focus on the present.
- It increases tolerance, improves creativity and imagination.
- To change the perspective towards situations.
- It reduces negative feelings.
7. Give any two key roles performed by an entrepreneur.
Ans:
- DECISION-MAKING: He makes different policies for business.
- MANAGEMENT: He manages and controls his business.
- INCOME DIVISION: He divides income among the different parts and sections of business.
- RISK-TAKING: He takes calculated risks necessary for growth of business.
- INNOVATION: He continuously creates new products, techniques to grow his business.
8. Mention any two benefits of working independently.
Ans:
- It boosts self confidence .
- It makes the person self Reliant .
- It makes the person emotionally independent.
- It makes decision making an easy task.
9. 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.
Ans:
- Install an Anti Virus with latest updates
- Never download any application from unknown websites.
- Scan computer for viruses on regular basis.
- Install operating system updates regularly.
10. Define the term agricultural entrepreneurship. How are farmers benefitted from it ?
Ans: Agricultural entrepreneurship deals with the production and selling of various agricultural goods. Farmers can earn good money and create employment for others by implementing it.
Answer any 4 out of the given 6 questions in 20 – 30 words each (2 x 4 = 8 marks)
11. Explain any one example of AI bias.
Ans: Amazon had developed an AI application for recruitment of the best candidates. But this application selected male candidates on priority basis and didn’t appoint female candidates. Hence it displayed bias towards female candidates. It happened because the system was trained with historical data in which most of recruitments were of male candidates.
12.What is Dimensionality Reduction ?
Ans: It is defined as techniques to reduce the number of input variables in a dataset while displaying original information in compact manner. For example, big sized data can be visualized with the help of graphs and charts.
13. Define Chatbot. What are its types ?
Ans: A chatbot is a computer software designed to simulate human conversation through voice commands or text chats or both.
There are two types of chatbots:
i. Script-bot (Rule based chatbot): This chatbot has predefined data as well as instructions. It is easy to develop these chatbots. They have limited functionality. They can be used to tasks where fixed question and answers are required. For example, Script chatbot can be developed for hospital reception.
ii. Smart-bot (Learning based chatbot): This chatbot learns from data on regular basis. Instructions are also generated as per data automatically. It is difficult to develop these chatbots. They work with NLP and machine learning techniques.
14. Define Confusion Matrix.
Ans: A confusion matrix is a table that is used to define the performance of an AI algorithm. It is basically meant to visualize the performance of a classification based algorithm.
It is represented as:
There are four types of values in a confusion matrix.
- True Positive (TP): Actual value is True + Predicted value is Positive
- True Negative (TN): Actual value is False + Predicted value is Negative
- False Positive (FP): Actual value is False + Predicted value is Positive
- False Negative (FN): Actual value is True + Predicted value is Negative
15. Face lock feature of a smartphone is an example of computer vision. Briefly discuss this feature.
Ans: Computer Vision is a domain of AI. It analyses visual data in the form of pictures to make a decision. These photos can be generated through cameras.
Face lock feature of a smartphone also uses the phone camera to authenticate users based on their facial features. In this way it used computer vision domain of AI.
16.With reference to data processing, expand the term TFIDF. Also give any two applications of TFIDF.
Ans: It stands for Term frequency–inverse document. Its applications are:
- Document Classification: Classify the documents on the basis of their type and genre .
- Topic Modelling: Predict the topic for a corpus.
- Information Retrieval System: Extract important information out of a corpus.
- Stop word filtering: Remove unnecessary words out some text .
Answer any 3 out of the given 5 questions in 50– 80 words each (4 x 3 = 12 marks)
17. 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.
Ans:
i. Artificial Intelligence (AI): It is the machine that can think and behave like human beings. It also includes problem-solving and learning.
ii. Machine Learning (ML): It is the process in which a machine learn patterns from data to perform various tasks without manual programming.
iii. Deep Learning: It is a subset of machine learning that teaches computers to perform tasks by learning. It uses multilayered neural networks to make complex decisions.
18.What is the significance of AI project cycle ? Also explain in detail about how Data Acquisition is different from data exploration.
Ans:
AI project cycle defines different steps that must be followed while developing an AI application.
Data Acquisition:
It is the process of acquiring data for the AI project. This is the data with which the machine can be trained.
Data Exploration:
Data exploration refers to the process to use data visualization and statistical techniques to describe dataset characterizations, such as size, quantity, and accuracy, in order to better understand the nature of the data.
19.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.
Ans:
20.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.
Ans:
Yes, it is valid to say that not all the devices which are termed smart are AI enabled. because many devices in our homes. Examples
i. Air Conditioner: Air Conditioner is c0nsidered Smart but it is not AI enabled because people can adjust its temperature and set timers as per their choices but AC can’t learn or make decisions independently.
ii. Automatic washing machine: Automatic washing machines enables users to set timers and customize settings as per their needs. But automatic washing don’t have ability to make independent decisions or learn new things on its onw.
21. 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:
(i) How many total cases are True Negative in the above scenario ?
(ii) Calculate precision, recall and F1 score.
Ans:
i) Total True Negative cases in the given scenario are = 20.
ii)
- Total Number of True Positives = 50
- Total Number of False Positives = 05
- Total Number of False Negatives = 25
- Precision = True Positives / (True Positives + False Positives)
=50/(50+05)
= 0.9090
- Recall = True Positives / (True Positives + False Negatives)
= 50/(50+25)
= 0.6666
- F1 Score = 2 * (Precision * Recall) / (Precision + Recall)
= 2(0.9090*0.6666)/(0.9090+0.6666)
= 0.3845