Teachers and Examiners (CBSESkillEduction) collaborated to create the Introduction to Artificial Intelligence Class 10 MCQ. All the important MCQs are taken from the NCERT Textbook Artificial Intelligence ( 417 ) class X.
Introduction to Artificial Intelligence Class 10 MCQ
1. What is the full form of “AI”?
a. Artificially Intelligent
b. Artificial Intelligence
c. Advanced Intelligence
d. Artificially Intelligence
2. What is Artificial Intelligence?
a. The goal of the field of artificial intelligence is to increase human intelligence.
b. The field of artificial intelligence helps to strengthen security.
c. Artificial Intelligence is a field that aims to develop intelligent machines
d. None of the above
3. Who is the inventor of Artificial Intelligence?
a. John McCarthy
b. Andrew Ng
c. Geoffrey Hinton
d. None of the above
4. Which one of the following is an artificial intelligence subfield?
a. Machine Learning
b. Stack Developer
c. Network Design
d. None of the above
5. What is the goal of Artificial Intelligence?
a. To extract scientific causes
b. To solve real-world problems
c. To solve artificial problems
d. None of the above
6. Humans have been developing machines which can make their lives easier?
a. AI Based Machine
b. AI based TV
c. AI based Washing Machine
e. None of the above
7. AI applications used in Mobile phones and Mobile phones help us in _______________.
a. Navigation
b. Recommend the Songs
c. Which movies you can watch according to you like
d. All of the above
8. __________ is something which is man-made, which does not occur naturally.
a. Artificial
b. Intelligence
c. Artificial Intelligence
d. None of the above
9. ____________ is the ‘ability to perceive or infer information, and to retain it as knowledge to be applied towards adaptive behaviors with an environment or context.’
a. Artificial
b. Intelligence
c. Artificial Intelligence
d. None of the above
10. What are the different intelligences available in AI?
a. Mathematical Logic Intelligence
b. Musical Intelligence
c. Linguistic Intelligence
d. All of the above
11. A person’s ability to regulate, measure, and understand numerical symbols, abstraction and logic.
a. Mathematical Logical Reasoning
b. Linguistic Intelligence
c. Spatial Visual Intelligence
d. Kinesthetic Intelligence
12. Language processing skills both in terms of understanding or implementation in writing or verbally.
a. Mathematical Logical Reasoning
b. Linguistic Intelligence
c. Spatial Visual Intelligence
d. Kinesthetic Intelligence
13. It is defined as the ability to perceive the visual world and the relationship of one object to another.
a. Mathematical Logical Reasoning
b. Linguistic Intelligence
c. Spatial Visual Intelligence
d. Kinesthetic Intelligence
14. Ability that is related to how a person uses his limbs in a skilled manila.
a. Mathematical Logical Reasoning
b. Linguistic Intelligence
c. Spatial Visual Intelligence
d. Kinesthetic Intelligence
15. As the name suggests, this intelligence is about a person’s ability to recognize and create sounds, rhythms, and sound patterns.
a. Mathematical Logical Reasoning
b. Musical Intelligence
c. Spatial Visual Intelligence
d. Kinesthetic Intelligence
16. Describes how high the level of self-awareness someone has is. Starting from realizing weakness, strength, to his own feelings.
a. Mathematical Logical Reasoning
b. Linguistic Intelligence
c. Intrapersonal Intelligence
d. Kinesthetic Intelligence
17. An additional category of intelligence relating to religious and spiritual awareness.
a. Mathematical Logical Reasoning
b. Linguistic Intelligence
c. Spatial Visual Intelligence
d. Existential Intelligence
18. An additional category of intelligence relating to the ability to process information on the environment around us.
a. Naturalist Intelligence
b. Linguistic Intelligence
c. Spatial Visual Intelligence
d. Kinesthetic Intelligence
19. Interpersonal intelligence is the ability to communicate with others by understanding other people’s feelings & influence of the person.
a. Mathematical Logical Reasoning
b. Linguistic Intelligence
c. Interpersonal Intelligence
d. Kinesthetic Intelligence
20. We may define intelligence as _____________.
a. Ability to interact with the real world
b. Reasoning and planning
c. Learning and adaptation
d. All of the above
21. In the term intelligence which one is the crucial part of ____________.
a. Decision Making
b. Manual Learning
c. Both a) and b)
d. None of the above
22. _________ depends upon the availability of information and how we experience and understand it.
a. Decision making
b. Manual Machine
c. Both a) and b)
d. None of the above
23. When a machine possesses the ability to mimic human traits, i.e., make decisions, predict the future, learn and improve on its own, it is said to have ______________.
a. Artificial Intelligence
b. Data Science
c. Data Integrated
d. None of the above
24. ___________ is artificially intelligent when it can accomplish tasks by itself – collect data, understand it, analyze it, learn from it, and improve it.
a. Data
b. Machine
c. Information
d. None of the above
25. Which one of the following is Application of Artificial Intelligence.
a. Google Search Engine
b. Cortana, Google Assistant & Siri
c. Amazon
d. All of the above
26. AI is also integrated to Social media platforms which helps to _______________.
a. Customized notification
b. Online shopping details
c. Auto-create playlist according to the requests
d. All of the above
27. Which one is the example of humanoid smart devices _____________.
a. Sophia
b. Ocean One
c. Atlas
d. All of the above
28. Which one is not an AI based application.
a. Washing Machine
b. Television
c. Both a) and b)
d. None of the above
29. What is the KWLH chart?
a. Graphic Organizer
b. Tracks what a student knows
c. How a student will find the information
d. All of the above
30. What do you mean by KWLH chart?
a. What I know? & What I Want to Know?
b. What have I learned?
c. How I learnt this?
d. All of the above
31. ML stands for __________.
a. Machine Learning
b. Main Learning
c. Mechanical Learning
d. None of the above
32. DL stands for ___________.
a. Data Learning
b. Deep Learning
c. Domain Learning
d. None of the above
33. Which one is part of Artificial Intelligence?
a. Machine Learning
b. Deep Learning
c. Both a) and b)
d. None of the above
34. _____________ is a subset of Artificial Intelligence which enables machines to improve at tasks with experience (data).
a. Deep Learning
b. Machine Learning
c. Artificial Intelligence
d. None of the above
35. ___________ enable machines to learn by themselves using the provided data and make accurate Predictions/ Decisions.
a. Deep Learning
b. Machine Learning
c. Artificial Intelligence
d. None of the above
36. ___________ 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.
a. Deep Learning
b. Machine Learning
c. Artificial Intelligence
d. None of the above
37. Which one is the correct domain of AI?
a. Data Science
b. Computer Vision
c. Natural Language Processing
d. All of the above
38. __________ 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.
a. Data Science
b. Computer Vision
c. Natural Language Processing
d. All of the above
39. __________ , 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.
a. Data Science
b. Computer Vision
c. Natural Language Processing
d. All of the above
40. Give an example of a Computer Vision program?
a. Self-Driving cars
b. Face lock in Smartphones
c. Both a) and b)
d. None of the above
41. __________is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language.
a. Natural Language Processing
b. New Language Processing
c. Next Generation Language Processing
d. None of the above
42. ___________ attempts to extract information from the spoken and written word using algorithms.
a. Natural Language Processing
b. New Language Processing
c. Next Generation Language Processing
d. None of the above
43. Example of Natural Language Processing?
a. Email filters
b. Smart Assistants
c. Both a) and b)
d. None of the above
44. The purpose of __________ is to do jobs that are either too time-consuming or boring for people.
a. Devices
b. Machine
c. Gadgets
d. None of the above
45. When something is man-made, it doesn’t happen naturally and is known as _________.
a. Artificial
b. Intelligence
c. Naturally
d. None of the above
46. Mr. Ajit is capable of making calculations and using logic in their project. This skill relates to _________.
a. Linguistic Intelligence
b. Mathematical Intelligence
c. Spatial Visual Intelligence
d. Existential Intelligence
47. The ability to notice or interpret the information and retain it as knowledge to apply toward adaptive behaviors within an environment or context is referred to as ___________.
a. Artificial
b. Intelligence
c. Naturally
d. None of the above
48. Which of the following intelligences is related to the capacity for religious and spiritual awareness?
a. Linguistic Intelligence
b. Mathematical Intelligence
c. Spatial Visual Intelligence
d. Existential Intelligence
49. When a machine can replicate human abilities like making judgments, predicting the future, learning, and improving on its own known as ___________.
a. Artificial Intelligence
b. Emotional Intelligence
c. Knowledge Intelligence
d. None of the above
50. The capacity to interact with others through recognizing their emotions and control over them is referred to as __________.
a. Linguistic Intelligence
b. Mathematical Intelligence
c. Spatial Visual Intelligence
d. Interpersonal Intelligence
51. How can we determine whether a machine has artificial intelligence?
a. Analyses the Data
b. Collect the Data
c. Understand the Data
d. All of the above
52. The Machine is considered intelligent when __________.
a. Analyses the Data
b. Collect the Data
c. Understand the Data
d. All of the above
53. To develop into an intelligent machine, ____________ is essential.
a. Training
b. Analyzing
c. Human Brain
d. None of the above
54. Machine learning’s purpose is ___________.
a. Trained the Human
b. Allowing machines to self-learn using available data
c. Think like animal
d. None of the above
55. Building machines and algorithms to help humans with AI is the main goal to ____________.
a. Ability to do computational operations and work like human brain
b. Walk like human
e. Both a) and b)
d. None of the above
56. Which of the following forms of AI is the most advanced?
a. Machine Learning
b. Deep Learning
c. Neural Network
d. None of the above
57. Which of the following is a Data Science based website that offers pricing comparisons?
a. Shopzilla
b. Junglee
c. PriceRunner
d. All of the above
58. Which of the following artificial intelligence domains gathers data, maintains datasets, and generalizes meaning from it?
a. Data Science
b. Neural Network
c. Computer Vision
d. Natural Language Processing
59. What technique below does computer vision do?
a. Object detection
b. Face recognition
c. Pattern detection
d. All of the above
60. Which of the following tasks can an automatic car perform on its own?
a. Maintain a map of their surroundings
b. Detect traffic lights
c. Read road signs
d. All of the above
61. Which could serve as a computer vision input source?
a. Thermal Sensors
b. Infrared Sensors
c. Indicators
d. All of the above
62. Which of the following AI tasks is important in mobile phones?
a. Taking Images
b. Features of face reading and comparing while unlocking the phone
c. Storing Files and Folder based on AI
d. None of the above
63. How do email filters identify spam messages?
a. Uncovering certain words
b. Suspicious word patterns
c. User’s preferences based on the emails
d. All of the above
64. Smart assistants like Apple Siri and Amazon Alexa’s main objective is ____________.
a. Voice Interaction and Recognition
b. Music Playback
c. Making to-do list
d. All of the above
65. Which of the following AI fields takes the opportunity to use algorithms to extract information from spoken and written words?
a. Data Science
b. Computer Vision
c. Natural Language Process
d. None of the above
66. Purpose of Natural Language Generation ______________.
a. Produce written or spoken narrative from a data set
b. Face recognition
c. Arranging Files and Folders
d. None of the above
67. The central element of each AI system is which of the following?
a. Testing
b. Training
c. Data
d. None of the above
68. Which of the following aspects of natural language processing includes linking to natural language?
a. Reading Language Reading
b. Natural Language Understanding
c. Natural Language Knowing
d. None of the above
69. Which of the following AI domains best describes product advertising?
a. Natural Language Processing
b. Data Science
c. Computer Vision
d. None of the above
70. The detection of illegal or questionable behavior by law enforcement agencies is the example of _________.
a. Environment Perception
b. Content-Based Image Retrieval
c. Face Recognition
d. All of the above
71. Which of the following techniques is used by search engines like Google and Bing with the aid of computer vision?
a. Smart Interactions
b. Content-Based Image Retrieval
c. Face Recognition
d. All of the above
72. Systems for people with disabilities are an example of _________.
a. Face recognition
b. Content-Based Image retrieval
c. Smart Interactions
d. Environment Perception
73. Which of the following is an AI-based vacuum cleaner?
a. Mitra
b. Roomba
c. Nao
d. Robear
74. Which of the following languages was developed to construct programmes for artificial intelligence?
a. C++
b. PHP
c. Python
d. BASIC
75. Which of the following statements best describes the importance of human intelligence?
a. Learning via feedback or data is not necessary.
b. Everyone is born intelligent in different ways.
c. For humans to learn something, iterations are necessary.
d. None of the above
76. Which of the following was the first language created specifically for artificial intelligence programming?
a. LISP
b. Python
c. C++
d. C
77. Find the game based on computer vision –
a. Scrooby
b. AI Pictionary
c. Doom
d. All of the above
78. Choose the odd one from the following computer vision examples –
a. Roomba
b. Interpol
c. MS Kinnect
d. Snapchat
79. What are the different principles for AI ethics?
a. Individual Need
b. Individual effort
c. Societal contribution
d. All of the above
80. A collection of rules called __________ offers guidance on the creation and results of artificial intelligence.
a. AI ethics
b. AI Bias
c. AI Access
d. None of the above
81. Computer programmes that take decision-making abilities are known as __________.
a. Expert System
b. Algorithm
c. Turing Test
d. None of the above
82. Complex processing device Watson developed by ___________.
a. Apple
b. IBM
c. Accenture
d. Google
83. Which year did the expert systems introduce ___________.
a. 1975
b. 1978
c. 1980
d. 1982
84. ________of the following, which makes use of data science?
a. Email Spam Filter
b. Fraud and Risk Detection
c. Internet Search
d. All of the above
85. Rajesh is studying various AI fields. Which field is related to data mining and machine learning. Select the ideal domain to illustrate his confusion ?
a. Computer Vision
b. Natural Language Processing
c. Data Science
d. None of the above
86. In order for stakeholders to understand data and apply it to make strategic business decisions, the __________ acts as a gatekeeper for the organization’s data.
a. AI engineer
b. Data Analyst
c. Software Engineer
d. None of the above
87. Which area of AI gathers knowledge from various forms of data using scientific procedures, procedures, algorithms, and systems?
a. Computer Vision
b. Natural Language Processing
c. Data Science
d. None of the above
88. What skills are required for making a career in AI?
a. Mathematical Skill
b. Statistical Skill
c. Computer Skill
d. All of the above
89. Which of the following is NOT a part of data privacy?
a. Data collection is ethical and only done with the user’s permission.
b. Data can be collected without permission
c. Data should be collected, stored, and shared with third parties
d. All of the above
90. Which of the following is not related to AI?
a. Computer Vision
b. Machine Learning
c. Data Science
d. Data Structure
91. Humans can comprehend intricate mathematical formulas and algorithms. This procedure is called_________.
a. Black Box
b. Data Scientist
c. Algorithm Designer
d. None of the above
92. AI bais usually reflects ________.
a. Culture
b. Gender
c. Age group
d. All of the above
93. What are the demerits of Artificial Intelligence?
a. Create Unemployment t
b. Decrease the work quality
c. Unstructured Data collection
d. All of the above
94. A little child in class 3 has some math homework that needs to be completed. He is struggling with his homework while seated at a table that has the Google chatbot Alexa on it. He soon begins asking Alexa to respond to all of his inquiries. The child merely notes the answers that Alexa provides on his notebook as she responds. Alexa is an example of __________.
a. Data & Machine Learning
b. Internet
c. Automated Data Collection
d. None of the above
95. The youngster is proficient with technology, but he uses it to finish his schoolwork without actually learning anything because he isn’t using his head to answer. So, while he is ____________.
a. Smarter
b. Might not be getting educated properly
c. Intelligent Boy
d. None of the above
96. The first few salon searches on Google are primarily for female salons. This is predicated on the notion that a person looking for a salon is almost always a female. This is a problem of ___________.
a. Bias
b. Access
c. Ethic
d. None of the above
97. You inform your friend that you want to buy new shoes and you are trying to search on the internet, after some time the online retailers start sending you reminders to buy shoes. What type of technology is used?
a. Artificial Intelligence
b. Auto Search technology
c. Google Automation
d. None of the above
98. The phone will eventually start delivering notifications about related books or messages about the same book once you operate it, even if you are not using it and talking to someone face-to-face about a book you recently read while the phone is maintained in a locked state nearby.
a. Artificial Intelligence
b. Auto Search technology
c. Google Automation
d. None of the above
99. Data working around numeric and alpha-numeric data is known as ___________.
a. Data Science
b. Computer Vision
c. Natural Language Processing
d. None of the above
100. Working around image and visual data is known as ___________.
a. Data Science
b. Computer Vision
c. Natural Language Processing
d. None of the above
101. Working around textual and speech-based data is known as __________.
a. Data Science
b. Computer Vision
c. Natural Language Processing
d. None of the above
102. Application of Data Science ____________.
a. Fraud and Risk Detection
b. Genetics & Genomics
c. Targeted Advertising
d. All of the above
Employability skills Class 10 Notes
- Unit 1- Communication Skills Class 10 Notes
- Unit 2- Self-Management Skills Class 10 Notes
- Unit 3- Basic ICT Skills Class 10 Notes
- Unit 4- Entrepreneurial Skills Class 10 Notes
- Unit 5- Green Skills Class 10 Notes
Employability skills Class 10 MCQ
- Unit 1- Communication Skills Class 10 MCQ
- Unit 2- Self-Management Skills Class 10 MCQ
- Unit 3- Basic ICT Skills Class 10 MCQ
- Unit 4- Entrepreneurial Skills Class 10 MCQ
- Unit 5- Green Skills Class 10 MCQ
Employability skills Class 10 Questions and Answers
- Unit 1- Communication Skills Class 10 Questions and Answers
- Unit 2- Self-Management Skills Class 10 Questions and Answers
- Unit 3- Basic ICT Skills Class 10 Questions and Answers
- Unit 4- Entrepreneurial Skills Class 10 Questions and Answers
- Unit 5- Green Skills Class 10 Questions and Answers
Artificial Intelligence Class 10 Notes
- Unit 1 – Introduction to Artificial Intelligence Class 10 Notes
- Unit 2 – AI Project Cycle Class 10 Notes
- Unit 3 – Natural Language Processing Class 10 Notes
- Unit 4 – Evaluation Class 10 Notes
- Advanced Python Class 10 Notes
- Computer Vision Class 10 Notes
Artificial Intelligence Class 10 MCQ
- Unit 1 – Introduction to Artificial Intelligence Class 10 MCQ
- Unit 2 – AI Project Cycle Class 10 MCQ
- Unit 3 – Natural Language Processing Class 10 MCQ
- Unit 4 – Evaluation Class 10 MCQ