CBSE Question Bank: Introduction to AI - Basics of AI | Artificial Intelligence for Class 10 PDF Download

 Page 1


 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
1 
 
CBSE | DEPARTMENT OF SKILL EDUCATION 
ARTIFICIAL INTELLIGENCE 
QUESTION BANK – CLASS 10 
 
CHAPTER 2: INTRODUCTION TO AI: BASICS OF AI 
 
One (01) Mark Questions 
 
Fill in the blanks: 
1. One of the major sources of data for many major companies is the device which all of us 
have in our hands all the time______________ (Smartphone/ Mobile Phones) 
2. The world of Artificial Intelligence revolves around ___________ (Data) 
 
True/False: 
3.  All the apps collect some kind of data. (True) 
 
Direct Questions: 
4. What do you understand by Machine Learning? 
Machine Learning is a subset of Artificial Intelligence which enables machines to improve 
at tasks with experience (data). The intention of Machine Learning is to enable machines 
to learn by themselves using the provided data and make accurate Predictions/ 
Decisions. 
OR 
Machine learning focuses on the development of computer programs that can access data 
and use it to learn for themselves. 
OR 
 
Machine learning is a data analytics technique that teaches computers to do what comes 
naturally to humans and animals: learn from experience. 
 
5. What do you understand by Deep Learning? 
Deep Learning is the most advanced form of Artificial Intelligence. In Deep Learning, the 
machine is trained with huge amounts of data which helps it in training itself around the 
data. Such machines are intelligent enough to develop algorithms for themselves.  
OR 
 
Deep learning is an artificial intelligence (AI) function that imitates the workings of the 
human brain in processing data and creating patterns for use in decision making. 
OR 
 
Deep learning is a subset of machine learning where artificial neural networks, 
algorithms inspired by the human brain, learn from large amounts of data.  
 
 
Page 2


 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
1 
 
CBSE | DEPARTMENT OF SKILL EDUCATION 
ARTIFICIAL INTELLIGENCE 
QUESTION BANK – CLASS 10 
 
CHAPTER 2: INTRODUCTION TO AI: BASICS OF AI 
 
One (01) Mark Questions 
 
Fill in the blanks: 
1. One of the major sources of data for many major companies is the device which all of us 
have in our hands all the time______________ (Smartphone/ Mobile Phones) 
2. The world of Artificial Intelligence revolves around ___________ (Data) 
 
True/False: 
3.  All the apps collect some kind of data. (True) 
 
Direct Questions: 
4. What do you understand by Machine Learning? 
Machine Learning is a subset of Artificial Intelligence which enables machines to improve 
at tasks with experience (data). The intention of Machine Learning is to enable machines 
to learn by themselves using the provided data and make accurate Predictions/ 
Decisions. 
OR 
Machine learning focuses on the development of computer programs that can access data 
and use it to learn for themselves. 
OR 
 
Machine learning is a data analytics technique that teaches computers to do what comes 
naturally to humans and animals: learn from experience. 
 
5. What do you understand by Deep Learning? 
Deep Learning is the most advanced form of Artificial Intelligence. In Deep Learning, the 
machine is trained with huge amounts of data which helps it in training itself around the 
data. Such machines are intelligent enough to develop algorithms for themselves.  
OR 
 
Deep learning is an artificial intelligence (AI) function that imitates the workings of the 
human brain in processing data and creating patterns for use in decision making. 
OR 
 
Deep learning is a subset of machine learning where artificial neural networks, 
algorithms inspired by the human brain, learn from large amounts of data.  
 
 
 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
2 
 
6. What are the three domains of AI? 
? Data Science/ Big Data 
? Computer Vision 
? Natural Language Processing (NLP) 
 
7. Name any two examples of Data science? 
(Any two out of the following) 
 
Price Comparison Websites/ Website Recommendations/ Fraud and Risk detection/ 
Internet search/ Personalized healthcare recommendations / Optimizing Traffic routes 
in real-time / image tagging. 
 
8. Name any two examples of Computer vision? 
(Any two out of the following) 
 
Self-Driving cars/ Autonomous vehicles Face Lock in Smartphones/ MedicalImaging/ 
Facial recognition  /Security Systems / Waste Management / Satellite imaging. 
 
9. Name any two examples of Natural Language Processing? 
(Any two out of the following) 
 
Email filters/Smart assistants/ Sentiment Analysis/Automatic Summarization/Search 
results / Language translation / Digital phone calls. 
 
10. Name any two examples of Machine Learning? 
(Any two out of the following) 
Virtual Personal Assistants, Recommendation systems like Netflix, Face Apps, Online 
Fraud Detection 
 
New Addition 
MCQ (Correct answers are highlighted)  
 
11. Snapchat filters use _____ and _____ to enhance your selfie with flowers, cat ears etc. 
a)  machine learning and deep learning 
b) data and image processing 
c) augmented reality and machine learning  
d) NLP and computer vision 
 
12. Based on the image below, choose the correct domain or domains of AI required for it: 
 
 
Page 3


 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
1 
 
CBSE | DEPARTMENT OF SKILL EDUCATION 
ARTIFICIAL INTELLIGENCE 
QUESTION BANK – CLASS 10 
 
CHAPTER 2: INTRODUCTION TO AI: BASICS OF AI 
 
One (01) Mark Questions 
 
Fill in the blanks: 
1. One of the major sources of data for many major companies is the device which all of us 
have in our hands all the time______________ (Smartphone/ Mobile Phones) 
2. The world of Artificial Intelligence revolves around ___________ (Data) 
 
True/False: 
3.  All the apps collect some kind of data. (True) 
 
Direct Questions: 
4. What do you understand by Machine Learning? 
Machine Learning is a subset of Artificial Intelligence which enables machines to improve 
at tasks with experience (data). The intention of Machine Learning is to enable machines 
to learn by themselves using the provided data and make accurate Predictions/ 
Decisions. 
OR 
Machine learning focuses on the development of computer programs that can access data 
and use it to learn for themselves. 
OR 
 
Machine learning is a data analytics technique that teaches computers to do what comes 
naturally to humans and animals: learn from experience. 
 
5. What do you understand by Deep Learning? 
Deep Learning is the most advanced form of Artificial Intelligence. In Deep Learning, the 
machine is trained with huge amounts of data which helps it in training itself around the 
data. Such machines are intelligent enough to develop algorithms for themselves.  
OR 
 
Deep learning is an artificial intelligence (AI) function that imitates the workings of the 
human brain in processing data and creating patterns for use in decision making. 
OR 
 
Deep learning is a subset of machine learning where artificial neural networks, 
algorithms inspired by the human brain, learn from large amounts of data.  
 
 
 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
2 
 
6. What are the three domains of AI? 
? Data Science/ Big Data 
? Computer Vision 
? Natural Language Processing (NLP) 
 
7. Name any two examples of Data science? 
(Any two out of the following) 
 
Price Comparison Websites/ Website Recommendations/ Fraud and Risk detection/ 
Internet search/ Personalized healthcare recommendations / Optimizing Traffic routes 
in real-time / image tagging. 
 
8. Name any two examples of Computer vision? 
(Any two out of the following) 
 
Self-Driving cars/ Autonomous vehicles Face Lock in Smartphones/ MedicalImaging/ 
Facial recognition  /Security Systems / Waste Management / Satellite imaging. 
 
9. Name any two examples of Natural Language Processing? 
(Any two out of the following) 
 
Email filters/Smart assistants/ Sentiment Analysis/Automatic Summarization/Search 
results / Language translation / Digital phone calls. 
 
10. Name any two examples of Machine Learning? 
(Any two out of the following) 
Virtual Personal Assistants, Recommendation systems like Netflix, Face Apps, Online 
Fraud Detection 
 
New Addition 
MCQ (Correct answers are highlighted)  
 
11. Snapchat filters use _____ and _____ to enhance your selfie with flowers, cat ears etc. 
a)  machine learning and deep learning 
b) data and image processing 
c) augmented reality and machine learning  
d) NLP and computer vision 
 
12. Based on the image below, choose the correct domain or domains of AI required for it: 
 
 
 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
3 
 
a) Data 
b) NLP 
c) Computer Vision  
d) Both (a) and (b) 
 
13. Rock paper and scissors game is based on the following domain: 
a) Data for AI 
b) Natural Language Processing 
c) Computer Vision 
d) Image processing 
 
14. Select a game which is based on Data Science domain of AI: 
a) Rock Paper and Scissors b)  Mystery Animal   
c)   Emoji Scavenger Hunt  d)  Pokémon 
 
15. Identify the domain of AI in the following image: 
 
 
 
a) Data Science 
b) Natural Language Processing 
c) Computer Vision 
d) Rule Based 
 
Two (02) Mark Questions 
 
1. What is Data science? Give an example of it. 
 Data sciences is a domain of AI related to data systems and processes, in which the system 
 collects numerous data, maintains data sets and derives meaning/sense out of them. The 
 information extracted through data science can be used to make a decision about it. 
OR 
 Data science is the field of study that combines domain expertise, programming skills, and 
 knowledge of mathematics and statistics to extract meaningful insights from data.  
OR 
 Data Sciences, it is a concept to unify statistics, data analysis, machine learning and their 
 related methods in order to understand and analyses actual phenomena with data. 
 
 For example: a company that has petabytes of user data may use data science to develop 
 effective ways to store, manage, and analyze the data. 
Page 4


 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
1 
 
CBSE | DEPARTMENT OF SKILL EDUCATION 
ARTIFICIAL INTELLIGENCE 
QUESTION BANK – CLASS 10 
 
CHAPTER 2: INTRODUCTION TO AI: BASICS OF AI 
 
One (01) Mark Questions 
 
Fill in the blanks: 
1. One of the major sources of data for many major companies is the device which all of us 
have in our hands all the time______________ (Smartphone/ Mobile Phones) 
2. The world of Artificial Intelligence revolves around ___________ (Data) 
 
True/False: 
3.  All the apps collect some kind of data. (True) 
 
Direct Questions: 
4. What do you understand by Machine Learning? 
Machine Learning is a subset of Artificial Intelligence which enables machines to improve 
at tasks with experience (data). The intention of Machine Learning is to enable machines 
to learn by themselves using the provided data and make accurate Predictions/ 
Decisions. 
OR 
Machine learning focuses on the development of computer programs that can access data 
and use it to learn for themselves. 
OR 
 
Machine learning is a data analytics technique that teaches computers to do what comes 
naturally to humans and animals: learn from experience. 
 
5. What do you understand by Deep Learning? 
Deep Learning is the most advanced form of Artificial Intelligence. In Deep Learning, the 
machine is trained with huge amounts of data which helps it in training itself around the 
data. Such machines are intelligent enough to develop algorithms for themselves.  
OR 
 
Deep learning is an artificial intelligence (AI) function that imitates the workings of the 
human brain in processing data and creating patterns for use in decision making. 
OR 
 
Deep learning is a subset of machine learning where artificial neural networks, 
algorithms inspired by the human brain, learn from large amounts of data.  
 
 
 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
2 
 
6. What are the three domains of AI? 
? Data Science/ Big Data 
? Computer Vision 
? Natural Language Processing (NLP) 
 
7. Name any two examples of Data science? 
(Any two out of the following) 
 
Price Comparison Websites/ Website Recommendations/ Fraud and Risk detection/ 
Internet search/ Personalized healthcare recommendations / Optimizing Traffic routes 
in real-time / image tagging. 
 
8. Name any two examples of Computer vision? 
(Any two out of the following) 
 
Self-Driving cars/ Autonomous vehicles Face Lock in Smartphones/ MedicalImaging/ 
Facial recognition  /Security Systems / Waste Management / Satellite imaging. 
 
9. Name any two examples of Natural Language Processing? 
(Any two out of the following) 
 
Email filters/Smart assistants/ Sentiment Analysis/Automatic Summarization/Search 
results / Language translation / Digital phone calls. 
 
10. Name any two examples of Machine Learning? 
(Any two out of the following) 
Virtual Personal Assistants, Recommendation systems like Netflix, Face Apps, Online 
Fraud Detection 
 
New Addition 
MCQ (Correct answers are highlighted)  
 
11. Snapchat filters use _____ and _____ to enhance your selfie with flowers, cat ears etc. 
a)  machine learning and deep learning 
b) data and image processing 
c) augmented reality and machine learning  
d) NLP and computer vision 
 
12. Based on the image below, choose the correct domain or domains of AI required for it: 
 
 
 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
3 
 
a) Data 
b) NLP 
c) Computer Vision  
d) Both (a) and (b) 
 
13. Rock paper and scissors game is based on the following domain: 
a) Data for AI 
b) Natural Language Processing 
c) Computer Vision 
d) Image processing 
 
14. Select a game which is based on Data Science domain of AI: 
a) Rock Paper and Scissors b)  Mystery Animal   
c)   Emoji Scavenger Hunt  d)  Pokémon 
 
15. Identify the domain of AI in the following image: 
 
 
 
a) Data Science 
b) Natural Language Processing 
c) Computer Vision 
d) Rule Based 
 
Two (02) Mark Questions 
 
1. What is Data science? Give an example of it. 
 Data sciences is a domain of AI related to data systems and processes, in which the system 
 collects numerous data, maintains data sets and derives meaning/sense out of them. The 
 information extracted through data science can be used to make a decision about it. 
OR 
 Data science is the field of study that combines domain expertise, programming skills, and 
 knowledge of mathematics and statistics to extract meaningful insights from data.  
OR 
 Data Sciences, it is a concept to unify statistics, data analysis, machine learning and their 
 related methods in order to understand and analyses actual phenomena with data. 
 
 For example: a company that has petabytes of user data may use data science to develop 
 effective ways to store, manage, and analyze the data. 
 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
4 
 
2. What is Computer Vision? Give an example of it. 
 Computer Vision, abbreviated as CV, is a domain of AI that depicts the capability of a 
machine to get and analyze visual information and afterwards predict some decisions about 
it. The entire process involves image acquiring, screening, analyzing, identifying and 
extracting information. 
OR 
 Computer vision is an interdisciplinary field that deals with how computers can be made to 
 gain high-level understanding from digital images or videos.  
OR 
 The Computer Vision domain of Artificial Intelligence, enables machines to see through 
 images or visual data, process and analyze them on the basis of algorithms and methods in 
 order to analyze actual phenomena with images. 
 
 For Example: - Self-Driving cars/ Automatic Cars, Face Lock in Smartphones 
 
3. What is Natural Language Processing? Give an example of it. 
 Natural Language Processing, abbreviated as NLP, is a branch of artificial intelligence that 
 deals with the interaction between machine/computers and humans using the natural 
 language. Natural language refers to language that is spoken and written by people, and 
 natural language processing (NLP) attempts to extract information from the spoken and 
 written word using algorithms. 
OR 
 Natural Language Processing, or NLP, is the sub-field of AI that is focused on enabling 
 machine/computers to understand and process human languages. AI is a subfield of 
 Linguistics, Computer Science, Information Engineering, and Artificial Intelligence 
 concerned with the interactions between computers and human (natural) languages, in 
 particular how to program computers to process and analyze large amounts of natural 
 language data. 
OR 
 In NLP, we teach machines how to understand and communicate in human 
 language. Natural language refers to speech analysis in both audible speeches, as well as  text 
of a language. NLP systems capture meaning from an input of words (sentences, 
 paragraphs, pages, etc.) 
 
 For Example: Email filters, Smart assistants: - Apple’s Siri and Amazon’s Alexa 
 
4. Where do we collect data from? 
 Data can be collected from various sources like – 
? Surveys 
? Sensors 
? Observations 
? Web scrapping (Internet)  
? Interviews 
? Documents and records. 
? Oral histories 
Page 5


 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
1 
 
CBSE | DEPARTMENT OF SKILL EDUCATION 
ARTIFICIAL INTELLIGENCE 
QUESTION BANK – CLASS 10 
 
CHAPTER 2: INTRODUCTION TO AI: BASICS OF AI 
 
One (01) Mark Questions 
 
Fill in the blanks: 
1. One of the major sources of data for many major companies is the device which all of us 
have in our hands all the time______________ (Smartphone/ Mobile Phones) 
2. The world of Artificial Intelligence revolves around ___________ (Data) 
 
True/False: 
3.  All the apps collect some kind of data. (True) 
 
Direct Questions: 
4. What do you understand by Machine Learning? 
Machine Learning is a subset of Artificial Intelligence which enables machines to improve 
at tasks with experience (data). The intention of Machine Learning is to enable machines 
to learn by themselves using the provided data and make accurate Predictions/ 
Decisions. 
OR 
Machine learning focuses on the development of computer programs that can access data 
and use it to learn for themselves. 
OR 
 
Machine learning is a data analytics technique that teaches computers to do what comes 
naturally to humans and animals: learn from experience. 
 
5. What do you understand by Deep Learning? 
Deep Learning is the most advanced form of Artificial Intelligence. In Deep Learning, the 
machine is trained with huge amounts of data which helps it in training itself around the 
data. Such machines are intelligent enough to develop algorithms for themselves.  
OR 
 
Deep learning is an artificial intelligence (AI) function that imitates the workings of the 
human brain in processing data and creating patterns for use in decision making. 
OR 
 
Deep learning is a subset of machine learning where artificial neural networks, 
algorithms inspired by the human brain, learn from large amounts of data.  
 
 
 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
2 
 
6. What are the three domains of AI? 
? Data Science/ Big Data 
? Computer Vision 
? Natural Language Processing (NLP) 
 
7. Name any two examples of Data science? 
(Any two out of the following) 
 
Price Comparison Websites/ Website Recommendations/ Fraud and Risk detection/ 
Internet search/ Personalized healthcare recommendations / Optimizing Traffic routes 
in real-time / image tagging. 
 
8. Name any two examples of Computer vision? 
(Any two out of the following) 
 
Self-Driving cars/ Autonomous vehicles Face Lock in Smartphones/ MedicalImaging/ 
Facial recognition  /Security Systems / Waste Management / Satellite imaging. 
 
9. Name any two examples of Natural Language Processing? 
(Any two out of the following) 
 
Email filters/Smart assistants/ Sentiment Analysis/Automatic Summarization/Search 
results / Language translation / Digital phone calls. 
 
10. Name any two examples of Machine Learning? 
(Any two out of the following) 
Virtual Personal Assistants, Recommendation systems like Netflix, Face Apps, Online 
Fraud Detection 
 
New Addition 
MCQ (Correct answers are highlighted)  
 
11. Snapchat filters use _____ and _____ to enhance your selfie with flowers, cat ears etc. 
a)  machine learning and deep learning 
b) data and image processing 
c) augmented reality and machine learning  
d) NLP and computer vision 
 
12. Based on the image below, choose the correct domain or domains of AI required for it: 
 
 
 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
3 
 
a) Data 
b) NLP 
c) Computer Vision  
d) Both (a) and (b) 
 
13. Rock paper and scissors game is based on the following domain: 
a) Data for AI 
b) Natural Language Processing 
c) Computer Vision 
d) Image processing 
 
14. Select a game which is based on Data Science domain of AI: 
a) Rock Paper and Scissors b)  Mystery Animal   
c)   Emoji Scavenger Hunt  d)  Pokémon 
 
15. Identify the domain of AI in the following image: 
 
 
 
a) Data Science 
b) Natural Language Processing 
c) Computer Vision 
d) Rule Based 
 
Two (02) Mark Questions 
 
1. What is Data science? Give an example of it. 
 Data sciences is a domain of AI related to data systems and processes, in which the system 
 collects numerous data, maintains data sets and derives meaning/sense out of them. The 
 information extracted through data science can be used to make a decision about it. 
OR 
 Data science is the field of study that combines domain expertise, programming skills, and 
 knowledge of mathematics and statistics to extract meaningful insights from data.  
OR 
 Data Sciences, it is a concept to unify statistics, data analysis, machine learning and their 
 related methods in order to understand and analyses actual phenomena with data. 
 
 For example: a company that has petabytes of user data may use data science to develop 
 effective ways to store, manage, and analyze the data. 
 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
4 
 
2. What is Computer Vision? Give an example of it. 
 Computer Vision, abbreviated as CV, is a domain of AI that depicts the capability of a 
machine to get and analyze visual information and afterwards predict some decisions about 
it. The entire process involves image acquiring, screening, analyzing, identifying and 
extracting information. 
OR 
 Computer vision is an interdisciplinary field that deals with how computers can be made to 
 gain high-level understanding from digital images or videos.  
OR 
 The Computer Vision domain of Artificial Intelligence, enables machines to see through 
 images or visual data, process and analyze them on the basis of algorithms and methods in 
 order to analyze actual phenomena with images. 
 
 For Example: - Self-Driving cars/ Automatic Cars, Face Lock in Smartphones 
 
3. What is Natural Language Processing? Give an example of it. 
 Natural Language Processing, abbreviated as NLP, is a branch of artificial intelligence that 
 deals with the interaction between machine/computers and humans using the natural 
 language. Natural language refers to language that is spoken and written by people, and 
 natural language processing (NLP) attempts to extract information from the spoken and 
 written word using algorithms. 
OR 
 Natural Language Processing, or NLP, is the sub-field of AI that is focused on enabling 
 machine/computers to understand and process human languages. AI is a subfield of 
 Linguistics, Computer Science, Information Engineering, and Artificial Intelligence 
 concerned with the interactions between computers and human (natural) languages, in 
 particular how to program computers to process and analyze large amounts of natural 
 language data. 
OR 
 In NLP, we teach machines how to understand and communicate in human 
 language. Natural language refers to speech analysis in both audible speeches, as well as  text 
of a language. NLP systems capture meaning from an input of words (sentences, 
 paragraphs, pages, etc.) 
 
 For Example: Email filters, Smart assistants: - Apple’s Siri and Amazon’s Alexa 
 
4. Where do we collect data from? 
 Data can be collected from various sources like – 
? Surveys 
? Sensors 
? Observations 
? Web scrapping (Internet)  
? Interviews 
? Documents and records. 
? Oral histories 
 
CBSE QUESTION BANK – AI – CLASS 10 – CHAPTER 2 INTRODUCTION TO AI: BASICS 
OF AI 
 
5 
 
 
5. Why do we need to collect data? 
 Data to a machine is similar to food for human being to function. The world of Artificial 
 Intelligence revolves around Data. Every company whether small or big is collecting data 
 from as many sources as possible. Data is called the New Gold today. It is through data 
 collection that a business or management has the quality information they need to make 
 informed decisions from further analysis, study, and research.  Data collection allows them 
 to stay on top of trends, provide answers to problems, and analyze new insights to great 
 effect. 
 
6. What is data mining? Explain with example. 
 Data mining is the process of analyzing large data sets and extracting the useful 
information from it. Data mining is used by companies to turn raw data into useful 
information. It is  an interdisciplinary subfield of computer science and statistics with an 
overall goal to extract information 
OR 
 Data mining is an automatic or semi-automatic technical process that analyses large 
 amounts of scattered information to make sense of it and turn it into knowledge. It looks 
 for anomalies, patterns or correlations among millions of records to predict results, as 
 indicated by the SAS institute, a world leader in business analytics. 
 
 Example:  
 Price Comparison websites- They collect data about a product from different sites and then 
analyze trends out of it and show up the most appropriate results. 
 
 Data mining is also known as Knowledge Discovery in Data (KDD) 
 To be moved to chapter no. 3 
 
7. What do you understand by Data Privacy? 
 The world of Artificial Intelligence revolves around Data. Proper and ethical handling of 
 own data or user data is called data privacy. It is all about the rights of individuals with 
 respect to their personal information. 
 
 Data privacy or information privacy is a branch of data security concerned with the proper 
 handling of data – consent, notice, and regulatory obligations. More specifically, 
 practical data privacy concerns often revolve around: Whether or how data is shared with 
 third parties 
 
8. Is data which is collected by various applications ethical in nature? Justify your  
 Yes, most of the times, the data collected by various applications is ethical in nature as the 
 users agree to it by clicking on allow when the application asks for various permissions. 
They ask for our data for various facilities like - to show us personalized recommendations 
and  advertisements and to make their app more accurate and efficient. 
 
OR