100+ Important Questions on AI Project Cycle

1. Choose the five stages of AI project cycle in correct order

1. Evaluation -> Problem Scoping -> Data Exploration -> Data Acquisition -> Modelling
2. Problem Scoping -> Data Exploration -> Data Acquisition -> Evaluation -> Modelling
3. Data Acquisition -> Problem Scoping -> Data Exploration -> Modelling -> Evaluation
4. Problem Scoping -> Data Acquisition -> Data Exploration -> Modelling -> Evaluation

2. Under ________ stage of AI Project Cycle, we look at various parameters which affect the problem we wish to solve so that the picture becomes clearer.

1. Modelling
2. Evaluation
3. Problem Scoping
4. Data Exploration

3. Unscramble the letters and find the correct answer.

DATA + _____________ = AI Machine

1. SMEGSEA
2. IMLHOMRGAT
3. RROER
4. TSMMCOE

4. The business or project requirements for the AI model is reviewed in

1. Problem Scoping
2. Data Acquisition
3. Data Exploration
4. Modelling

5. What is Problem Scoping?

1. Solution of a problem
2. Exploring the patterns out of the collected data sets
3. Developing an algorithm for a problem solution
4. Identifying a problem and having a vision to solve it.

6. How many SDGs have been announced by the United nations?

1. 20
2. 17
3. 2030
4. 2020

7. The people who face the stated problem and would be benefitted from the solution are termed as

1. Stakeholders
2. Key Persons
3. Who
4. End user

8. When a project is started, the person should be very clear with

1. Problem Reasons
2. Problem Solutions
3. Problem Statement
4. All of these

9. Which of the following statement is correct for problem scoping

1. it will create real value for the organization
2. it will create more confusion among the stakeholders
3. it is a tool that prevents the problem will not recur
4. it is a tool that provides a clear understanding of the data flow

10. Problem scoping is the stage where

1. The problem can be identified and goals can be set
2. The problem can be put on paper
3. The problem can be discussed among stakeholders
4. The problem can be understood by the people

11. Which of the following statement is correct for training data:

1. Data should be relevant
2. Data should be authentic
3. Data should be downloaded only
4. Data can be anything

1. i, and ii
2. i, ii and iii
3. ii, iii and iv
4. All of them

12. What is termed as the Problem Statement Template?

1. The template summaries all the cards of 4Ws Problem Canvas
2. Data set collected to extract the key elements of a problem
3. The template provides the prediction of the data set
4. None of these

13. Which of the following is incorrect?

1. Testing data is the one on which we train and fit our model basically to fit the parameters
2. Training data is used only to assess performance of model
3. Testing data is the unseen data for which predictions have to be made

1. i) and iii) only
2. i) and ii) only
3. ii) and iii) only
4. i), ii) and iii)

14. The ____ stage begins with the identification of the problem in the AI project cycle​

1. Problem Scoping
2. Data acquisition
3. Modelling
4. Searching Ideas

15. Problem scoping helps in​

1. Setting the goal
2. Identifying the problem
3. A deeper understanding of the problem
4. All of these

16. Which of the following W of 4Ws canvas problem helps in analyzing the affected people directly or indirectly?​

1. Who
2. What
3. Where
4. Why

17. The ____ are people who face the problem and would be benefited from the solution.

1. Stakeholders
2. Key persons
3. Developer
4. End user

18. Which W among 4Ws of Problem Scoping, determines the nature of the problem.

1. Who
2. What
3. Where
4. Why

19. The w for what in 4Ws also gather the evidence to prove that the problem you have selected actually exists.(True/False)

1. True
2. False

20. Which of the following refers to where among 4Ws canvas ?

1. stakeholders
2. nature of the problem
3. context/situation/location
4. solution or benefits to the stakeholders

21. The ____ helps to summarize all the key points into one single template for Problem Scoping.

1. 4ws of problem scoping
2. Problem Statement Template
3. Summary Template
4. Problem Understanding Template

22. If there are errors in the problem scoping, it leads to failure of the project or delay in the project.(True/False)

1. True
2. False

23. In problem scoping, one should always consider the positive and negative aspects of the problem. (True/False)

1. False
2. True

24. The stakeholders can be a part of which w in 4ws canvas ?

1. Who
2. What
3. Where
4. Why

25. The ‘who’ block in 4ws helps in analyzing

1. Stakeholders
2. Nature of Problem
3. Context, Situation and Location
4. Benefits to the Stakeholders

26. Which block of 4ws problem canvas focuses on the context/situation/location of the problem ?

1. Who
2. What
3. Where
4. Why

27. Which of the following comes under Problem Scoping ?

1. Web Scraping
2. 4Ws Problem Canvas
3. System Mapping
4. Data features

28. Setting goals is the first part of problem scoping ?

1. True
2. False

29. Which of the following comes under problem scoping ?

1. System mapping
2. 4Ws problem canvas
3. Data features
4. Web Scraping

30. The AI process begins with problem definition then followed by ?

1. designing – brainstorming – building
2. designing – deploying – brainstorming
3. brainstorming – designing – building
4. designing – brainstorming – building

31. The AI project stage which is used to set the goal for the problem is

1. Data Exploration
2. Evaluation
3. Problem Scoping
4. Data Validation

32. Which of the following is not related to 4 W in problem scoping ?

1. Who
2. What
3. Where
4. With

33. 4Ws canvas is associated with

1. Modelling
2. Data Acquisition
3. Problem Scoping
4. Data exploration

34. The ____ canvas helps you in identifying the key elements related to the problem.

1. 4Q
2. Problem Scoping
3. 4W
4. Algorithm

35. ______ is one of the way of Data Acquisition.

1. Surveys
2. Coding
3. Cloud Computing
4. None of these

36. The Data needs to be ______ for AI to work efficiently.

1. Accurate
2. Pictorial
3. Complex
4. None of these

37. Which of the following is not an authentic source for data acquisition? ?

1. Sensors
2. Surveys
3. Web Scraping
4. System Hacking

38. The _____________ refers to is more concerned with maintaining and managing the metadata rather than the database itself. ?

1. System Mapping
2. Data Curation
3. Data Features
4. Web Scraping

39. Which of the following is not a core element of SDG ?

1. Economic Growth
2. Social Inclusion
3. Geographical concerns
4. Environmental Protection

40. Which of the following not one of the Vs of big data?

1. Volume
2. Velocity
3. Variety
4. Version

41. The data which is available as soon as an event takes place is known as __________ data.

1. Big data
2. Real time data
3. Spatio temporal data
4. Time stamped data

42. The data which is available freely for everyone to use which is not restricted through copyrights, patents, control etc is known as ______ data.

1. Open Source
2. Realtime Data
3. Time stamped data
4. Big Data

43. The data which contains both location and time information is known __________ data.

1. Machine data
2. Time stamped data
3. Spatio temporal data
4. None of the above

44. The data from user behavior, activities or actions is known as _________ data.

1. System Mapping
2. 4Ws Canvas
3. Data Features
4. Web Scraping

45. Machine data refers to the data collected from systems or programs like called details, emails data etc. (True/False).

1. True
2. False

46. Which of the following data helps in forming an accurate of actions over time?

1. Structured Data
2. Unstructured Data
3. Semi-Structured
4. Time-Stamped

47. Name any 2 methods for collecting data.

1. Surveys and Interviews
2. Rumours and Myths
3. AI Models and Applications
4. Imagination and thoughts

48. The combination of structured and unstructured data is known as _________ data.

1. Structured Data
2. Unstructured Data
3. Semi-Structured
4. Time-Stamped

49. The types of data that do not have any predefined structure are known as __________.

1. Structured Data
2. Unstructured Data
3. Semi-Structured
4. Time-Stamped

50. The data which has predefined structure and organized in predefined manner is called _________________ data.

1. Structured Data
2. Unstructured Data
3. Semi-Structured
4. Time-Stamped

51. The types of data collected during the AI project cycle is considered as

1. Data Features
2. Data Attributes
3. Data Collection
4. Data Characteristics

52. In ________ method of data collection, researchers interact in their natural environment to help and understand their behaviours, perceptions, and experiences for research purposes

1. Survey
2. API
3. Observation
4. Sensors

53. The data which can be in the form of any value within a range is considered as which of the following categories of data?

1. Ungrouped
2. Grouped
3. Frequency
4. None of These

54. Which of the following is one of the government open source for collecting data?

1. www.ayushmanbharat.org 
2. www.india.gov.in
3. www.bharatdata.in
4. www.india.com

55. Which of the following is not a method to collect data??

1. Surveys
2. Web Scrapping
3. Sensors
4. Archives

56. The type of data being collected in data acquisition is known as _______.

1. System Mapping
2. 4Ws Canvas
3. Data Features
4. Web Scraping

57. We can provide any data for the prediction to get a better result. (True/False)

1. True
2. False

58. We can provide any data for the prediction to get a better result. (True/False)

1. True
2. False

59. In data acquisition the data which is provided as input is called __________.

1. Testing Data
2. Training Data
3. Input data
4. None of the above

60. To predict the output you must train the data for the AI project. (True/False)

1. True
2. False

61. The relevant and authentic data only collected through ?

1. Any websites
2. Google
3. Government Websites
4. None of these

62. The ___________ is second stage of AI project cycle.

1. Data Acquisition
2. Evaluation
3. Problem Scoping
4. Data Exploration

63. Which of the following AI weak systems are used in systems for making decisions by using user-defined rules?

1. Brute-force
2. Neural Networks
3. Comptuter Vision
4. Heuristic or Rule-based

64. Data visualization techniques are used to

1. discover data
2. real-time evaluation of big data
3. getting new insights into data
4. All of these

65. You can also adopt some sophisticated statistical methods for data exploration. (True/False)

1. True
2. False

66. Data exploration can be done using __________.

1. Problem Scoping
2. Data Visualization
3. Data Features
4. Web Scraping

67. ___________ refers to the techniques and tools that are used for identifying important patterns and trends using graphs.

1. Data visualization
2. Data organizing
3. Data Features
4. Web Scraping

68. The ________ approach is based on rules and data fed into the machine

1. Rule-based approach
2. Learning-based approach
3. Knowledge-based approach
4. All of these

69. A business problem wherein we categorize whether an observation is “Safe,” “AtRisk,” or “Unsafe” is an example of

1. Classification
2. Clustering
3. Regression
4. Dimensionality Reduction

70. Which of the following not an approach considered for modelling:

1. rule-based approach
2. learning-based approach
3. knowledge-based approch
4. All of these

71. Which of the following not an approach considered for modelling:

1. root
2. terminal
3. interior
4. parent

72. Which of the following node is the last node of a decision tree?

1. Parent Node
2. Decision Node
3. Leaf Node
4. Splitting Node

73. ________ is a process by which a node is divided into two or more sub-nodes

1. Splitting
2. 4Ws Canvas
3. Data Features
4. Web Scraping

74. In rule-based apporach the relationships or patterns in data are defined by the developer. (True/False)

1. True
2. False

75. Identify which of the following is incorrect about the unsupervised learning-based model.

1. We can provide a very large data set.
2. The algorithm itself analyzes the data set and determines relationships within that data.
3. The labelled data is fed with some rules by the developers.
4. It lets make predictions and improves the algorithms on its own.

76. ______ are used in making decisions in AI models

1. This Question is Under Verification 🙁

77. Choose the correct option

1. Unsupervised learning -> labelled dataset, Regression
2. Supervised learning -> labelled data set, Regression
3. Unsupervised learning -> unlabelled dataset, Classification
4. Supervised learning -> unlabelled data set, Regression

78. In _________, the machine is trained with huge amount of data which helps it in training itself around the data.

1. Supervised learning
2. Deep learning
3. Classification
4. Unsupervised learning

79. Unscramble the letters and find the parameter that is NOT used in evaluation stage

1. CMVETEEHAIN
2. ONSIPRICE
3. RYAUACCC
4. ECLARL

80. The basis of decision making depends upon

1. Availability of Information
2. Past Experience
3. Positive Attitude
4. Self-Awareness

1. i) and ii)
2. ii) and iv)
3. i), ii) and iv)
4. ) i), ii) and iii)

81. It provides us with an appropriate framework which can lead us towards the goal of our AI Project.

1. 4Ws Canvas
2. AI Project Cycle
3. 17 SDGs
4. AI Models

82. Which of the following model the relationship or patterns in data defined by the developer?

1. Rule Base Approach
2. Learning Based Approach
3. Decision Tree
4. K Map

83. Which of the following type of data can have a specific pattern or structure?

1. Semi Structure
2. Structured
3. Unstructured
4. Fully Structured

1.

1. Understand and inspect the web page to find the HTML markers associated with the information we want.
2. Use Python libraries to pull out data from the HTML page.
3. Manipulate the collected data to get it in the form we need.

The above given steps are for collecting data from which of the following data sources?

1. Cameras
2. Sensors
3. Surveys
4. Web scraping

2.

Data about the houses such as square footage, number of rooms, features, whether a house has a garden or not, and the prices of these houses, i.e., the corresponding labels are fed into an AI machine. By leveraging data coming from thousands of houses, their features and prices, we can now train the model to predict a new house’s price. This is an example of

1. Reinforcement learning
2. Supervised learning
3. Unsupervised learning
4. None of the above

3.

According to The New Your Times, Facebook users who viewed a video of Black males on a British tabloid were asked, “Would you like to keep viewing videos of primates (apes and monkeys)?” after seeing the video. As a result, the company disabled ai function that made the recommendation, apologized for the “unacceptable error” and began an investigation into what went wrong. What do you think the company found as the reason of this incident?

1. Gender Bias
2. Biased Data Fed into the machine
3. Data Privacy
4. Data Availability

4.

(i) CSV is a simple file format used to store tabular data. (ii) A Spreadsheet is used for managing data using rows and columns. (iii) SQL is used for managing data stored in Database Management Systems (DBMS). The above given files are examples of structured data. Which of the following steps are involved in converting data from various sources into digital format?

1. Problem Scoping
2. Data Acquisition
3. Data Modelling
4. Data Exploration

5.

(a) With more and more data, an Algorithm becomes better and more accurate. (b) We can choose from various techniques such as Regression, Classification, Clustering, depending on the data set. (c) Algorithms are mainly used in pattern recognition which help in deriving meaningful insights and describe the data better to the user. The above points are regarding algorithms. Which stage of AI project life cycle requires algorithms ?

1. Problem Scoping
2. Data Acquisition
3. Modelling
4. Evaluation

6.

An AI model uses input only from the dynamic environment that does not include any labelled data. It uses a behavioral learning model and improves as it learns about the environment. As the learning agent interacts with the environment while moving from one state to another, it is rewarded for success but penalized for failure. Identify the learning model.

1. Supervised learning
2. Unsupervised learning
3. Reinforcement learning
4. All of the above

7.

Amazon had been working on a secret AI recruiting tool. The Machine-learning specialists uncovered a big problem: their new recruiting engine did not like women. The system taught itself that male candidates were preferable. It penalized the resumes that included “women”. This led to the failure of tool. This is an example of

1. Data Privacy
2. AI Access
3. AI Bias
4. Data Exploration

1.

Assertion (A): We can use histograms when data is in categories (such as “Pop”,”Rock”,”Jazz”,”Hip-Hop” etc) Reason (R): We use bar charts when we have continuous data (such as a person’s height or weight)

1. (A) is false but (R) is true
2. (A) is true but (R) is false
3. Both (A) and (R) are true
4. Both (A) and (R) are false

2.

Assertion (A): A pie chart is divided into segments to represent values of Different sizes.
Reason (R): Pie Chart is very effective when we have so many data series

1. (A) is false but (R) is true
2. (A) is true but (R) is false
3. Both (A) and (R) are true
4. Both (A) and (R) are false

3.

Statement:1 At the same time, we should keep in mind that the data which we collect is open-sourced and not someone’s property.
Statement 2: Extracting private data can be an offence.

1. Statement 1 is True
2. Statement 2 is True
3. Statement 1 and 2 both are True
4. None of these statements are True

4.

Statement:1 Self-motivation teaches us self-discipline and hard work to achieve our goals
Statement 2: Individuals experience increased anxiety and boredom when they motivate themselves.

1. Both Statement 1 and Statement 2 are correct.
2. Both Statement 1 and Statement 2 are incorrect.
3. Statement 1 is correct but Statement 2 is incorrect
4. Statement 1 is incorrect but Statement 2 is correct

5.

Assertion (A): A self-driving car is made up of a combination of sensors, cameras, radar and AI.
Reason (R): The owner is liable if a self-driving car is involved in an accident

1. Both A and R are correct and R is the correct explanation of A.
2. Both A and R are correct but R is NOT the correct explanation of A
3. A is correct but R is incorrect
4. A is incorrect but R is correct

6.

Assertion (A): System maps tool helps figure out the relationship of elements with the project’s goal
Reason (R): Positive arrows determine a direct relationship of elements while the negative arrows show an inverse relationship of elements.

1. Both A and R are correct and R is the correct explanation of A.
2. Both A and R are correct but R is NOT the correct explanation of A
3. A is correct but R is incorrect
4. A is incorrect but R is correct

7.

Assertion (A): System maps tool helps figure out the relationship of elements with the project’s goal
Reason (R): Positive arrows determine a direct relationship of elements while the negative arrows show an inverse relationship of elements.

1. Both A and R are correct and R is the correct explanation of A.
2. Both A and R are correct but R is NOT the correct explanation of A
3. A is correct but R is incorrect
4. A is incorrect but R is correct