AI Reflection Project Cycle and Ethics Class 9 MCQ

AI Reflection Project Cycle and Ethics Class 9 MCQ inspires AI-readiness in you. In this chapter, you will evaluate yourself to get a deep understanding of AI, and you will be able to create solutions with AI.

AI Reflection Project Cycle and Ethics Class 9 MCQ

1. Which one of the following is an application of AI?
a. Remote controlled Drone
b. Self-Driving Car
c. Self-Service Kiosk
d. Self-Watering Plant System

2. This language is easy to learn and is one of the most popular languages for AI today:
a. C++
b. Python
c. Ruby
d. Java

3. This field is enabling computers to identify and process images as humans do:
a. Face Recognition
b. Model-view-controller
c. Computer Vision
d. Eye-in-Hand System

4. What does NLP stand for in AI?
a. Neutral Learning Projection
b. Neuro-Linguistic Programming
c. Natural Language Processing
d. Neural Logic Presentation

5. Which of the following is not a domain of artificial intelligence?
a. Data Management System
b. Computer Vision
c. Natural Language Processing
d. Data Science

6. Which one of the following is the second stage of AI project cycle?
a. Data Exploration
b. Data Acquisition
c. Modelling
d. Problem Scoping

7. Which of the following comes under Problem Scoping?
a. System Mapping
b. 4Ws Canvas
c. Data Features
d. Web scraping

8. Which of the following is not valid for Data Acquisition?
a. Web scraping
b. Surveys
c. Sensors
d. Announcements

9. If an arrow goes from X to Y with a – (minus) sign, it means that
a. If X increases, Y decreases
b. The direction of relation is opposite
c. If X increases, Y increases
d. It is a bi-directional relationship

10. Which of the following is not a part of the 4Ws Problem Canvas?
a. Who?
b. Why?
c. What?
d. Which?

11. Rearrange the steps of AI project cycle in correct order:
a. Data Acquisition
b. Problem Scoping
c. Modelling
d. Data Exploration
e. Deployment
f. Evaluation

12. The process of breaking down the big problem into a series of simple steps is known as:
a. Efficiency
b. Modularity
c. Both a) and b)
d. None of the above

13. The primary purpose of data exploration in AI project cycle is
a. To make data more complicated
b. To simplify complex data
c. To discover patterns and insights in data
d. To visualize data

14. The guiding principles to decide what is good or bad is known as _

15. When building AI solutions, we need to ensure that they follow _

16. “Preference for one over the other” is known as __

17. Artificial Intelligence and machine learning systems can display unfair behaviour if not trained properly. (True/False)
a. True
b. False

18. Search for images of personal secretary on Google, displaying predominantly the images of Women is an example of __.

19. An Ethical AI framework makes sure that transparency, fairness and accountability is develop into the systems to provide unbiased results. (True/False)
a. True
b. False

20. The AI Project Cycle is a ____________ that a company must follow in order to derive value from an AI project and to solve the problem.
a. Step-by-step process 
b. Random process
c. Reverse process
d. None of the above

21. The stages of the AI project cycle are _____________.
a. Problem Scoping & Data Acquisition
b. Data Exploration & Modeling
c. Evaluation
d. All of the above 

22. How you can identify the problem scoping in the project.
a. Understand why the project was started
b. Define the project’s primary objectives
c. Outline the project’s work statement.
d. All of the above 

23. Give the example of a source where you can acquire the data?
a. Sustainable development goals
b. Environment
c. Agriculture
d. All of the above 

24. What are the 4 W’s of problem scoping __________ in AI.
a. Who & What
b. Where
c. Why
d. All of the above 

25. __________ element helps us to understand and categorize who is directly and indirectly affected by the problem.
a. Who 
b. What
c. Where
d. Why

26. ___________ section aids us in analyzing and recognizing the nature of the problem.
a. Who
b. What 
c. Where
d. Why

27. _________ elements help to find where the problem arises.
a. Who
b. What
c. Where
d. Why

28. ___________refers to why we need to address the problem and what the advantages will be for the stakeholders once the problem is solved.
a. Who
b. What
c. Where
d. Why 

29. __________ summarizes all of the important points in one place.
a. Problem statement template 
b. Problem statement document
c. Problem statement file
d. None of the above

30. The method of collecting correct and dependable data to work with is known as ___________.
a. Problem Scoping
b. Data Acquisition 
c. Data Exploration
d. Modeling

31. What is data in AI?
a. Facts
b. Instruction
c. Information
d. All of the above 

32. What are the different types of data __________.
a. Structured Data
b. Unstructured Data
c. Both a) and b) 
d. None of the above

33. If data is easily accessible by humans and program, and easy to read is known as _____________.
a. Structured Data
b. Unstructured Data
c. Both a) and b)
d. None of the above

34. _________ data doesn’t follow traditional data models and is difficult to read, store and manage.
a. Structured Data
b. Unstructured Data
c. Both a) and b)
d. None of the above

35. ________ is a collection of data in tabular format.
a. Dataset
b. Structured Data
c. Unstructured Data
d. None of the above

36. The dataset is divided in two parts ___________.
a. Machine dataset & Model dataset
b. Training dataset & Test dataset
c. Gaolable dataset & local dataset
d. None of the above

37. __________ dataset is a large dataset that is used for teaching a machine learning model.
a. Training dataset 
b. Test dataset
c. Both a) and b)
d. None of the above

38. What is the percentage of data utilized in a training dataset?
a. 50%
b. 20%
c. 80%
d. 100%

39. Data that have been clearly identified for use in tests, usually of a computer program is known as ____________.
a. Training dataset
b. Test dataset
c. Both a) and b)
d. None of the above

40. What is the percentage of data utilized in a test dataset?
a. 50%
b. 20% 
c. 80%
d. 100%

41. What are the different reliable sources to collect the data in AI?
a. Surveys & Web Scraping
b. Sensors & Cameras
c. Observations & API
d. All of the above

42. Web Scripting is a technique for collecting ____________ data from the internet such as news, market research and price tracking.
a. Structured data
b. Unstructured data
c. Scripting data
d. None of the above

43. We can collect visual data with the help of cameras. This data is ___________ data.
a. Structured data
b. Unstructured data
c. Scripting data
d. None of the above

44. A device that detects or measures a physical property is called __________.
a. Sensor
b. API
c. Observation
d. None of the above

45. An __________ is a software interface that enables the interaction between two apps.
a. Sensor
b. API
c. Observation
d. None of the above

46. What is a System Map?
a. Helps to make relation between multiple element
b. Only one elements will be responsible
c. Indicate the relationship using + or –
d. Both a) and c)

47. Data analysts utilize data visualization and statistical tools to convey dataset characterizations, such as ___________.
a. size
b. amount
c. accuracy
d. All of the above

48. Data exploration is a technique used to visualize data in the form of statistical methods or using graphs.
a. Statistical methods
b. Graphical methods
c. Both a) and b)
d. None of the above

49. Data Exploration helps you gain a better understanding of a _________.
a. Dataset
b. Database
c. accuracy
d. None of the above

50. _____________helps to represent graphical data that use symbols to convey a story and help people understand large volumes of information.
a. Dataset
b. Data visualization
c. Data Exploration
d. None of the above

51. A machine that work and react like human is known as ____________.
a. Artificial Intelligence
b. Machine Learning
c. Deep Learning
d. None of the above

52. Machines have an abilities to learn from the experience or data.
a. Artificial Intelligence
b. Machine Learning
c. Deep Learning
d. None of the above

53. It work like structure and function of the brain called artificial neural network.
a. Artificial Intelligence
b. Machine Learning
c. Deep Learning 
d. None of the above

54. _________ is a program that has been trained to recognize patterns using a set of data.
a. AI model 
b. Dataset
c. Visualization
d. None of the above

55. Type of AI model are _____________.
a. Lesson Based and Rood Based
b. Learning Based and Rule Based
c. Machine Learning and Visualization
d. None of the above

56. ___________refers to AI modeling in which the developer hasn’t specified the relationship or patterns in the data.
a. Learning Based
b. Rule Based
c. Decision Tree
d. None of the above

57. After a model has been created and trained, it must be thoroughly tested in order to determine its efficiency and performance; this is known as ___________.
a. Evaluation
b. Learning
c. Decision
d. None of the above

58. ___________ is the ability of machines to do cognitive tasks such as thinking, perceiving, learning, problem solving, and decision making.
a. Artificial Intelligence
b. Nero Science
c. Data package
d. None of the above

59. What is the full form of “AI”?
a. Artificially Intelligent
b. Artificially Intelligence
c. Artificial Intelligence
d. Advanced Intelligence

60. Artificial Intelligence is about_____.
a. Playing a game on Computer
b. Making a machine Intelligent
c. Programming on Machine with your Own Intelligence
d. Putting your intelligence in Machine

61. Who is the “Father of Artificial Intelligence”?
a. Fisher Ada
b. Alan Turing
c. John McCarthy
d. Allen Newell

62. Artificial Intelligence’s applications are_________.
a. Expert Systems
b. Gaming
c. Vision Systems
d. All of the above

63. The_________ approach was designed to judge whether a machine could or could not display artificial intelligence.
a. Boolean Algebra
b. Turing Test
c. Logarithm
d. Algorithm

64. When was the AI Dartmouth conference?
a. 1956
b. 1966
c. 1972
d. 1980

65. Artificial Intelligence is divided into which of the following branches?
a. Machine Learning
b. Cyber forensics
c. Full-Stack Developer
d. Network Design

66. The important principle that artificial intelligence embraces is holistic inclusive and progressive development in immersive ways by __________.
a. Problem solving
b. Creative thinking
c. Critically Analyzing data
d. All of the above

67. Identify the pedagogy of AI
a. Activity Based
b. Experiential learning
c. Inquiry Based learning
d. All of the above

68. Which one of the following is an application of AI?
a. Remote controlled Drone
b. Self-Driving Car
c. Self-Service Kiosk
d. Self-Watering Plant System

69. This language is easy to learn and is one of the most popular language for AI today:
a. C++
b. Python
c. Ruby
d. Java

70. Which of the following is not a stage in the AI Project Cycle:
a. Problem Scoping
b. Data Acquisition
c. Data Exploration
d. Prototyping

71. This field is enabling computers to identify and process images like humans do:
a. Face Recognition
b. Model-view-controller
c. Computer Vision
d. Eye-in-Hand System

72. What does NLP stand for in AI?
a. Neutral Learning Projection
b. Neuro-Linguistic Programming
c. Natural Language Processing
d. Neural Logic Presentation

73. This is a program that allows the computer to simulate conversation with a human being:
a. Speech Application Program Interface
b. Chatbot
c. Voice Recognition
d. Speech Recognition

74. This is a system of Programs and Data-Structures that mimics the operation of the human brain:
a. Intelligent Network
b. Decision Support System
c. Neural Network
d. Genetic Programming

75. Natural language processing has two subfields, namely:
a. algorithmic and heuristic
b. time and motion
c. understanding and generation
d. symbolic and numeric

76. The first Chatboat “ELIZA” introduced in the year of _________.
a. 1988
b. 1955
c. 1966
d. 1990

77. In the year of _________, The IBM Deep blue “First computer to beat a world chess championship”
a. 1988
b. 1955
c. 1997
d. 1990

78. _________ is a series of autonomous robotic vacuum cleaners used in Home.
a. Roomba
b. Expert System
c. Deep Blue
d. Goostman

79. In which year google Introduce AI is their application.
a. 2008
b. 2012
c. 2014
d. 2016

80. _____________ is a branch of artificial intelligence that allows computers to learn and develop without being explicitly programmed.
a. Machine Learning
b. Natural Language Processing
c. Expert System
d. Computer Vision

81. Machine Learning can be used to address difficult problems like detecting ____________
a. credit card fraud
b. enabling self-driving automobiles
c. detecting and recognizing faces
d. All of the above

82. Natural language processing is an area of artificial intelligence that focuses on assisting computers in understanding
a. How humans write and communicate
b. How humans work in organization
c. How humans Use a AI Device
d. None of the above

83. _________is a computer software that can handle complex issues and make decisions in the same way as a human can.
a. Machine Learning
b. Natural Language Processing
c. Expert System
d. Computer Vision

84. _________ device can do activities without the need of human interaction.
a. Robots
b. Planner
c. AI
d. None of the above

85. _____________ aid in the enhancement of the online buying experience.
a. Virtual Shopping Assistants
b. Chatbots
c. Both a) and b)
d. None of the above

86. What are the most serious difficulties that E-Commerce businesses face are ____________.
a. Credit Card Fraud
b. Fraudulent Reviews
c. Both a) and b)
d. None of the above

87. Self-driving automobiles are built using artificial intelligence. To drive the vehicle, AI can be combined with the___________.
a. Camera
b. Radar
c. GPS & Control Signals
d. All of the above

88. Facebook uses the technique known as ___________, this technique translates the post from one language to another language.
a. DeepText
b. Language converter
c. Converter
d. None of the above

89. Twitter uses AI technology in their application to solve the _____________ problem.
a. Fraud detection
b. Propaganda Removal
c. Remove hateful content
d. All of the above

90. With the help of AI the farmer can identify defects and nutrient deficiencies in the soil with the help of _________.
a. machine learning applications
b. Natural Language Processing
c. Expert System
d. Computer Vision

91. Which one is the correct domain available in Artificial Intelligence.
a. Data Science
b. Natural Language Processing
c. Computer Vision
d. All of the above

92. The process of converting a raw dataset into valuable knowledge is known as ___________.
a. Data Science
b. Natural Language Processing
c. Computer Vision
d. All of the above

93. ____________ is an AI game based on data science.
a. Rock, Paper, Scissors
b. Akinator with alexa
c. Emoji Scavenger
d. None of the above

94. ___________is a free Amazon Echo app that uses a series of questions to figure out which character you’re thinking of
a. Rock, Paper, Scissors
b. Akinator with alexa
c. Emoji Scavenger
d. None of the above

95. ___________ allows computers and systems to extract useful information from digital photos, videos, and other visual inputs.
a. Data Science
b. Natural Language Processing
c. Computer Vision
d. All of the above

96. ___________is a web-based service that provides accurate data on geographic regions and locations all over the world.
a. Google Bot
b. Google Map
c. Google Class
d. None of the above

97. A ____________ is a flexible house setup in which appliances and devices may be managed remotely using a mobile or other networked device from anywhere with an internet connection.
a. Smart Home
b. Smart City
c. Smart Class
d. None of the above

98. What are the advantages of Smart Home?
a. Smart Home provide more comfort
b. Smart Home Saves Energy
c. Smart Home Improve Security
d. All of the above

99. In 1987 the first-time sustainable development appeared in the __________.
a. Brundtland Report
b. British Report
c. World Report
d. None of the above

100. There are _________ goals in sustainable development which were introduced in 2015.
a. 16
b. 17
c. 18
d. 19

101. In which area AI will improve and give the solution to Social issues.
a. Disaster Awareness and Prediction
b. Wildlife Conservation
c. In Agriculture
d. All of the above

102. Give the example of career opportunities in Artificial Intelligence.
a. Data Analytics
b. Machine Learning Engineer
c. Software Engineer
d. All of the above

103. What are the companies that make use of AI
a. Google
b. Apple
c. Amazon
d. All of the above

104. What skills required  when you are working as AI professional.
a. Training to become a expertise
b. Good knowledge of Math and Science
c. Required Programming Languages
d. All of the above

105. Ethical Challenges in Artificial Intelligence?
a. Cost to Innovation
b. Lack of quality data
c. Bias and discrimination
d. All of the above

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