Revisiting AI Project Cycle Class 10 MCQ – The CBSE has changed the syllabus of Std. X. The MCQs are made based on the new syllabus and based on the New CBSE textbook, Sample paper and Board Paper. All the important Information are taken from the Artificial Intelligence Class X Textbook Based on CBSE Board Pattern.
Revisiting AI Project Cycle Class 10 MCQ
1. What is the purpose of defining the problem statement during the Problem Scoping stage in an AI project cycle?
a. To collect data
b. To understand the aim and objective of the project
c. To train the model
d. To process data
2. In what ways can AI models be categorized based on the type of data fed into them?
a. Two domains
b. Four domains
c. Three domains
d. Five domains
3. In Statistical Data, what is the primary function of the system in relation to data?
a. Generating large datasets
b. Analyzing data to extract insights
c. Converting data into images
d. Distributing data across networks
4. What is the main goal of Computer Vision projects?
a. Translating audio data into visual descriptions
b. Converting digital data into analogue signals
c. Teaching machines to understand textual information
d. Converting digital visual data into computer-readable language
5. What is the primary focus of NLP?
a. Analyzing computer languages
b. Interacting between computers and humans using artificial language
c. Dealing with the interaction between computers and humans using natural language
d. Enhancing human-to-human communication
6. What do frameworks provide in the context of problem-solving?
a. Random solutions
b. Step-by-step guidance
c. Legal advice
d. Ethical justifications
7. How are Ethical Frameworks for AI categorized?
a. Into legal and illegal frameworks
b. Into sector-based and value-based frameworks
c. Into historical and contemporary frameworks
d. Into theoretical and practical frameworks
8. What is the central focus of virtue-based value-based frameworks?
a. Maximizing utility
b. Protecting human rights
c. Aligning actions with ethical principles and beliefs
d. Ensuring compliance with legal regulations
9. Which of the following best describes rights-based value-based frameworks?
a. Prioritizing human rights and dignity, valuing human life over other considerations
b. Evaluating actions based on maximizing overall good and minimizing harm
c. Centering on the character of the decision-maker and the alignment of actions with personal or societal virtues
d. Focusing on achieving outcomes that offer the greatest benefit
10. What is the primary domain of application for Bioethics?
a. Agriculture
b. Healthcare and life sciences
c. Information technology
d. Environmental conservation
11. Assertion: Ethics provide guidance in distinguishing right from wrong.
Reasoning: Ethics consist of a set of values and morals that aid individuals in making moral judgments and decisions.
a. Both Assertion and Reasoning are true, and Reasoning is the correct explanation of the Assertion.
b. Assertion is true, but Reasoning is false.
c. Both Assertion and Reasoning are true, but Reasoning is not the correct explanation of the Assertion.
d. Assertion is false, but Reasoning is true.
12. Assertion: Value-based frameworks in ethics provide guidance by focusing on fundamental ethical principles and values.
Reasoning: These frame work effects different moral philosophies guiding ethical reasoning and are concerned with assessing the moral worth of actions.
a. Both Assertion and Reasoning are true, and Reasoning is the correct explanation of the Assertion.
b. Assertion is true, but Reasoning is false.
c. Both Assertion and Reasoning are true, but Reasoning is not the correct explanation of the Assertion.
d. Assertion is false, but Reasoning is true.
1. The AI Project Cycle mainly has __.
a. 2 Stages
b. 3 Stages
c. 4 Stages
d. 5 Stages
2. The _ is the first stage of the AI project cycle.
a. Problem Scoping
b. Data Acquisition
c. Data Exploration
d. Data Modelling
3. The _ is the fifth stage of the AI project cycle.
a. Problem Scoping
b. Data Evaluation
c. Data Exploration
d. Data Modelling
4. _ helps to acquire data for the project.
a. Problem Scoping
b. Data Acquisition
c. Data Exploration
d. Data Evaluation
5. Whenever we want an AI project to be able to predict an output, we need to _ it first using data.
a. Analyze
b. Train
c. Explore
d. All of the above
6. For better efficiency of an AI project, the _ needs to be relevant and authentic.
a. Testing Data
b. Training Data
c. Exploring Data
d. All of the above
7. __ refer to the type of data you want to collect.
a. Data features
b. Exploring Data
c. Data Acquisition
d. All of the above
8. What are the different ways to collect data?
a. Web Scraping & API
b. Surveys & Sensors
c. Cameras & Observations
d. All of the above
9. Sometimes, you use the internet and try to acquire data for your project from some random websites. Such data might not be authentic as its accuracy cannot be proved. Due to this, it becomes necessary to find a __.
a. Reliable source
b. Random source
c. Unauthorize source
d. All of the above
10. What do you mean by problem scoping?
a. Creating an algorithm to solve a problem
b. Proper solution of a problem
c. Recognizing a problem and having a plan to address it.
d. analyzing the trends in the collected data sets
11. Once the __ is complete, you now need to test your model on some newly fetched data.
a. Data Acquisition
b. Modelling
c. Data Mining
d. None of the above
12. What is the Problem Statement Template, exactly?
a. Data set that was compiled to identify the essential components of a problem
b. The template summarizes each card in the 4Ws Problem Canvas
c. The template offers the data set’s prediction.
d. None of the above
13. Which of the following is not a reliable source for acquiring data?
a. System Hacking
b. Surveys
c. Website
d. None of the above
14. What are the various parameters that affect the problem in project cycle?
a. You need to acquire data which will become the base of your project
b. You go for data acquisition by collecting data from various reliable and authentic sources.
c. After exploring the patterns, you can decide upon the type of model you would build to achieve the goal.
d. All of the above
15. Whenever we want an AI project to be able to predict an output, we need to _ it first using data.
a. Analyze
b. Train
c. Explore
d. All of the above
16. You would feed the data into the machine. This is the data with which the machine can be trained. Now, once it is ready, it will predict his next data efficiently. This previous data is known as _.
a. Testing Data
b. Training Data
c. Exploring Data
d. All of the above
17. __ is a simple file format that stores data separated by commas.
a. jpg
b. doc
c. csv
d. png
18. Identify the incorrect statements from the following : (CBSE 2022 – 2023)
i) AI models can be broadly categorized into four domains.
ii) Data sciences is one of the domain of AI model.
iii) Price comparison websites are examples of data science.
iv) 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. ii) and (iii)
19. Which of the following is an application of data science?
a. Text summarization
b. Target Advertisements
c. Face lock in smartphones
d. Email filters
20. Expand CBT_______________
a. Computer Behaved Training
b. Cognitive Behavioural Therapy
c. Consolidated Batch of trainers
d. Combined Basic Training
21. 4Ws Problem Canvas is a part of : (CBSE 2022 – 2023)
a. Problem Scoping
b. Data Acquisition
c. Modelling
d. Evaluation
22. Srishti learnt about AI terminologies but was not able to recollect the term that is used to refer to machines that perform tasks with vast amounts of data using neural networks. Help her with the correct term.
Show Answer ⟶23. Assertion(A) : Neural networks are the backbone of deep learning algorithms
Reason(R): Neural networks use vast amounts of data
a. Both A and R are correct and R is the correct explanation of A
b. Both A and R are correct but R is NOT the correct explanation of A
c. A is correct but R is not correct
d. A is not correct but R is correct.
24. This is a fact that all human beings have all nine types of intelligences, but at different levels. (CBSE 2022 – 2023) Name any two such intelligences.
Show Answer ⟶25. _ helps us to summaries all the key points into one single outline so that in future, whenever there is need to look back at the basis of the problem, we can take a look at it and understand the key elements of it.
a. 4W Problem canvas
b. Problem Statement Template
c. Data Acquisition
d. Algorithm
26. Assume that you are working at MyFlight which is a major airlines company and that you have noticed that the way passengers board your planes is an inefficient use of time and resources. On an average, the current boarding system wastes about four minutes per boarding. This wastes about 35000 rupees per day across all flights.
The boarding protocols make the company less competitive and thus create an unfavourable brand image. Using a modified boarding, passengers can board the plane from the sides rather than from the back to the front. This will eliminate four minutes of waste. Taking this as the problem, choose which of the following would be the ideal problem statement template.
a. Our passengers have a problem that it takes more time when one has to board the plane. An ideal solution would be to use different airlines.
b. Our passengers have a problem that the current boarding system wastes time while waiting in the airport. An ideal solution would be to board the plane before the airline crew gets into the plane.
c. Our airlines have a problem that the current boarding system wastes four minutes of time when passengers aboard the plane. An ideal solution would be to board the plane from the sides rather than from the back to the front.
d. Our airlines have a problem that it takes more time when passengers have to board the plane. An ideal solution would be to sell the airlines.
27. Under _, one looks at various parameters which affect the problem we wish to solve, as this would make many lives better. (CBSE 2022 – 2023)
Show Answer ⟶28. In ______, the machine is trained with huge amounts of data which helps it in training itself around the data.
a. Machine Learning
b. Artificial Intelligence
c. NLP
d. Deep Learning
29. Which of the following contributes to the efficiency of an AI project? (CBSE 2023 – 2024)
a. High Model Complexity
b. Relevant and Authentic Tranining Data
c. Minimal Preprocessing
d. Limited Hardware Resources
30. One of the most reliable and authentic sources of information where we can download the authentic data for our project is __.
a. Private websites
b. Government websites
c. Personal websites
d. None of the above
31. It gives us a suitable framework that can help us get closer to the objective of our AI project.
a. 4Ws Canvas
b. AI Project Cycle
c. Project Model
d. AI Models
32. In order to have a clearer view, we examine several parameters that make an impact on the problem we can try to address under the _ stage of the AI Project Cycle.
a. Data Exploration
b. Evaluation
c. Modelling
d. Problem Scoping
33. i. Understand and inspect the web page to find the HTML markers associated with the information we want.
ii. Use Python libraries to pull out data from the HTML page.
iii. 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?
a. Cameras
b. Sensors
c. Surveys
d. Web scraping
34. _ is one of the parameter for evaluating a model’s performance and is defined as the fraction of positive cases that are correctly identified. (CBSE 2023 – 2024)
a. Precision
b. Accuracy
c. Recall
d. Fl
35. 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)
a. (a) is false but (R) is true
b. (a) is true but (R) is false
c. Both (a) and (R) are true
d. Both (a) and (R) are false
36. Choose the five stages of AI project cycle in correct order
a. Evaluation -> Problem Scoping -> Data Exploration -> Data Acquisition -> Modelling
b. Problem Scoping -> Data Exploration -> Data Acquisition -> Evaluation -> Modelling
c. Data Acquisition -> Problem Scoping -> Data Exploration -> Modelling -> Evaluation
d. Problem Scoping -> Data Acquisition -> Data Exploration -> Modelling -> Evaluation
37. Assertion (a)– One can be a good singer while the other can be a great athlete.
Reason(R) – Humans possess different types of intelligences but at different levels.
a. Both A and R are correct and R is the correct explanation of A
b. Both A and R are correct but R is not the correct explanation of A
c. A is correct but R is not correct
d. A is not correct but R is correct.
38. A _______________is divided into multiple layers and each layer is further divided into several blocks called nodes.
a. Neural Networks
b. Convolutional Neural Network (CNN)
c. Machine learning algorithm
d. Hidden Layers
39. _______is a concept to unify statistics, data analysis, machine learning and their related methods in order to understand and analyse actual phenomena with data. (CBSE 2023 – 2024)
a. Computer Vision
b. Natural Language Processing
c. Data Science
d. Computer Science
40. In computer vision which of the following tasks is used for multiple objects? (CBSE 2023 – 2024)
a. Classification
b. Classification + Localisation
c. Instance Segmentation
d. Localisation
41. In the AI project cycle, which of the following represents the correct order of steps? (CBSE 2023 – 2024)
a. Data Exploration, Problem Scoping, Modelling, Evaluation, Data Acquisition.
b. Problem Scoping, Data Acquisition, Data Exploration, Modelling, Evaluation.
c. Modelling, Data Acquisition, Evaluation, Problem Scoping, Data Exploration.
d. Data Acquisition, Data Exploration, Problem Scoping, Modelling, Evaluation.
42. Which of the following is not part of the AI Project Cycle?
a. Data Exploration
b. Modelling
c. Testing
d. Problem Scoping
43. __ refers to the AI modelling where the machine learns by itself.
a. Learning Based
b. Rule Based
c. Machine Learning
d. Data Sciences
44. _ is the last stage of the AI project Life cycle.
a. Problem Scoping
b. Evaluation
c. Modelling
d. Data Acquisition
45. Name any 2 methods of collecting data.
a. Surveys and Interviews
b. Rumors and Myths
c. AI models and applications
d. Imagination and thoughts
46. The __________________canvas helps you in identifying the key elements related to the problem.
a. Problem scoping
b. 4Ws Problem
c. Project cycle
d. Algorithm
47. What will be the outcome, if the Prediction is “Yes” and it matches with the Reality? What will be the outcome, if the Prediction is “Yes” and it does not match the Reality?
a. True Positive, True Negative
b. True Negative, False Negative
c. True Negative, False Positive
d. True Positive, False Positive
48. The 4 W’s Problem Canvas helps in identifying the key elements related to the given problem.
Which of the following is NOT one of the blocks of the Problem Canvas? (CBSE 2023 – 2024)
a. When
b. Where
c. What
d. Why
49. 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: (CBSE 2023 – 2024)
a. Computational Skills
b. Learning Capability
c. Artificial Intelligence
d. Cognitive Processing
50. Statement 1 : To evaluate a models’ performance, we need either precision or recall.
Statement 2 : When the value of both Precision and Recall is 1, the F1 score is 0. (CBSE 2023 – 2024)
a. Both statement 1 and statement 2 are correct.
b. Both statement 1 and statement 2 are incorrect.
c. Statement 1 is correct, but statement 2 is incorrect.
d. Statement 1 is incorrect, but statement 2 is correct.
51. Recall-Evaluation method is ___________.
a. defined as the fraction of positive cases that are correctly identified.
b. defined as the percentage of true positive cases versus all the cases where the prediction is true.
c. defined as the percentage of correct predictions out of all the observations.
d. comparison between the prediction and reality
52. The person starting a project should be absolutely clear with _.
a. Problem Reasons
b. Problem Statement
c. Problem Solutions
d. None of the above
53. Which of the information sharing about problem scoping?
a. It will increase misunderstanding among stakeholders
b. It is a tool that ensures the issue won’t arise again
c. While adding actual value to the organization
d. The data flow is understood clearly
54. You need to __, which will become the base of your project, as it will help you in understanding what the parameters that are related to problem scoping are.
a. Acquire Data
b. Database
c. Data Mining
d. None of the above
55. _ by collecting data from various reliable and authentic sources.
a. Data Acquisition
b. Database
c. Data Mining
d. None of the above
56. Define Machine Learning.
a. Machine learning is the study of computer algorithms that improve automatically through experience.
b. Refers to any technique that enables computers to mimic human intelligence.
c. Machine learning refers to computer systems (both machines and software) enables machines to perform tasks for which it is programmed.
d. Machine Learning refers to projects that allow the machine to work on a particular logic.
57. Intrapersonal Intelligence is a concept that : (CBSE 2023 – 2024)
a. Measures an individual’s ability to understand others’ emotions and feelings.
b. Assesses one’s proficiency in mathematics and logical reasoning.
c. Describes the level of self-awareness someone has, starting from realizing weaknesses, strengths, to recognizing their own feelings.
d. Evaluates an individual’s spatial navigation and visualisation skills.
58. The __ Problem canvas helps in identifying the key elements related to the problem.
a. 4Ws
b. 6Ws
c. 2Ws
d. 3Ws
59. The __ block helps in analyzing the people getting affected directly or indirectly due to it.
a. Who
b. What
c. Where
d. Why
60. _ helps to determine the nature of the problem.
a. Who
b. What
c. Where
d. Why
61. “What” block helps to gather evidence from __ to prove that the problem you have selected actually exists.
a. Media
b. Announcements
c. Newspaper & Articles
d. All of the above
62. “Where” block will help you look into the situation in which the ___________where it is prominent.
a. Problem arises
b. The context of it
c. The locations
d. All of the above
63. In “Why” block canvas, Which of the following canvases is the base of problem solving.
a. Who the people that would be benefitted by the solution
b. What is to be solved
c. Where will the solution be deployed
d. All of the above
64. After filling the 4Ws Problem canvas, you now need to summarize all the cards into one _.
a. Template
b. Situation
c. Both a. and b.
d. None of the above
65. Templates help us to summarize all the key points into one single Template so that in future, whenever there is a need to look back at the basis of the problem, we can take a look at the __ and understand the key elements of it.
a. Problem Solving Template
b. Problem Statement Template
c. Problem Arising Template
d. None of the above
66. Whenever we want an AI project to be able to predict an output, we need to _ it first using data.
a. Analyze
b. Train
c. Explore
d. All of the above
67. For better efficiency of an AI project, the _ needs to be relevant and authentic.
a. Testing Data
b. Training Data
c. Exploring Data
d. All of the above
68. AI models can be classified as _.
a. Learning Based
b. Rule Based
c. Both a. and b.
d. None of the above
69. Learning Based models can be classified as __.
a. Machine Learning
b. Deep Learning
c. Both a. and b.
d. None of the above
70. AI modelling where the rules are defined by the developer is known as __.
a. Rule Based Approach
b. Learning based Approach
c. Both a. and b.
d. None of the above
71. _ which tells us about the conditions on the basis of which we can decide
a. Dataset
b. Rule Based
c. Learning based
d. None of the above
72. Learning based approaches are divided into _ parts.
a. 2
b. 3
c. 4
d. 5
73. Which one of the following is correct for Learning based approach?
a. Supervised Learning
b. Unsupervised Learning
c. Reinforcement Learning
d. All of the above
74. In a _ model, the dataset which is fed to the machine is labeled.
a. Supervised Learning
b. Unsupervised Learning
c. Reinforcement Learning
d. All of the above
75. What are the different types of supervised learning?
a. Classification
b. Regression
c. Both a. and b.
d. None of the above
76. Where the data is classified according to the labels is known as __.
a. Classification
b. Regression
c. Both a. and b.
d. None of the above
77. _ models work on continuous data.
a. Classification
b. Regression
c. Both a. and b.
d. None of the above
78. An _ model works on an unlabeled dataset.
a. Unsupervised learning
b. Supervised learning
c. Reinforcement Learning
d. All of the above
79. The __ models are used to identify relationships, patterns and trends out of the data which is fed into it. It helps the user in understanding what the data is about and what are the major features identified by the machine in it.
a. Unsupervised learning
b. Supervised learning
c. Reinforcement Learning
d. All of the above
80. Unsupervised learning models are divided into _ categories.
a. 5
b. 4
c. 3
d. 2
81. Which categories belong to Unsupervised learning.
a. Clustering
b. Dimensionality Reduction
c. Both a. and b.
d. None of the above
82. Unsupervised learning algorithm which can cluster the unknown data according to the patterns or trends identified out of it is known as _.
a. Clustering
b. Dimensionality Reduction
c. Both a. and b.
d. None of the above
83. In Unsupervised learning models, if we need to reduce their dimension, which algorithm do we have to use?
a. Supervised algorithm
b. Dimensionality reduction algorithm
c. Clustering algorithm
d. None of the above
84. _ helps to test data so that one can calculate the efficiency and performance of the model.
a. Accuracy
b. Evaluation
c. Precision
d. None of the above
85. The first layer of a Neural Network is known as the __.
a. Output Layer
b. Input Layer
c. Hidden Layer
d. All of the above
86. The job of an __ is to acquire data and feed it to the Neural Network.
a. Output Layer
b. Input Layer
c. Neural Layer
d. All of the above
87. In Neural Network, The __ are the layers in which the whole processing occurs.
a. Output Layer
b. Input Layer
c. Hidden Layer
d. All of the above
88. Hidden Layers in Neural Network means.
a. Layers are hidden
b. Not visual to the user
c. Both a. and b.
d. None of the above
89. In a Neural Network, Each node of these hidden layers has its own _ which it executes on the data received from the input layer.
a. Machine Learning Methods
b. Machine Learning Approach
c. Machine Learning Algorithm
d. All of the above
90. The last hidden layer passes the final processed data to the _ which then gives it to the user as the final output.
a. Output Layer
b. Input Layer
c. Hidden Layer
d. All of the above
91. A secret AI hiring tool was being developed by Amazon. The machine learning experts discovered a significant issue: their new recruiting engine disliked women. The system has already learned that male candidates were preferred. The resumes with “women” on them were punished. As a result, the tool failed. This is an example of___________.
a. Data Privacy
b. AI Access
c. AI Bias
d. Data Exploration
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