Class 10 AI (417): AI Project Cycle and Ethical Framework PYQ

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Sharpen your exam preparation with these Class 10 AI Project Cycle and Ethical Framework PYQ with Answers. It is complied carefully from the past few years of CBSE Board Papers. Revise confidently and understand the exact question pattern followed in exams.

Q1. Assertion (A): Frameworks serve as a common language for communication and collaboration.
Reason (R): Frameworks do not facilitate sharing of best practices. [2026]
a) Both (A) and (R) are true, and (R) is the correct explanation of (A).
b) Both (A) and (R) are true, but (R) is not the correct explanation of (A).
c) (A) is true, but (R) is false.
d) (A) is false, but (R) is true.

Q2. The deployment stage of the AI Project Cycle is crucial for: [2026]
a) Collecting initial data.
b) Training the model.
c) Ensuring successful integration in real-world environment.
d) Exploring data patterns.

Q3. Which of the following best describes model evaluation in artificial intelligence? [2026]
a) The process of creating new datasets for training.
b) The process of using different evaluation metrics to understand a machine learning model’s performance.
c) The process of selecting algorithms for model building.
d) The process of data preprocessing and cleaning.

Q4. ___________ enables computers to mimic human intelligence. [2025]
a) Cloud Computing
b) Artificial Intelligence
c) Web Development
d) Data Entry

Q5. Which AI application involves analysing large sets of data to extract meaningful insights for decision-making? [2025]
a) Computer Vision
b) Robotics
c) Natural Language Processing (NLP)
d) Data Science

Q6. State True/False: Machine learning and Deep learning are part of Artificial Intelligence, but not everything that is Machine learning will be Deep learning. [2025]

Q7. Which of the following is the second stage of an AI Project Cycle? [2025]
a) Problem Scoping
b) Evaluation
c) Data Acquisition
d) Data Exploration

Q8. Differentiate between Data Acquisition and Data Exploration. [2025]

Q9. Categorise the following examples under Data Science, NLP and Computer Vision with justification:
(a) Recommendation Websites
(b) Voice-based Virtual Assistants
(c) Spam Filters
(d) Airline Route Planning [2025]

Q10. ___________ provides a useful abstract model for thinking about time series generally and for better understanding problems during time series analysis and forecasting. [2024]
a) Decomposition
b) Modelling
c) Stages
d) Building

Q11. The first fundamental step when starting an AI initiative is ___________. [2024]
a) Evaluation
b) Testing
c) Deployment
d) Scoping

Q12. Which of the following is not one of the steps of an AI project life cycle? [2024]
a) Problem definition
b) Understanding the problem
c) Data delivery
d) Data gathering

Q13. ___________ is the last step in the AI project life cycle. [2024]
a) Problem definition
b) Data gathering
c) Deployment
d) Evaluation

Q14. AI is perhaps the most transformative technology available today. At a high level, every AI project follows a total of ___________ steps. [2024]
a) Six
b) Seven
c) Eight
d) Infinite

Q15. During step 3 of the AI model life cycle, ___________ should include all relevant subsets of training data. [2024]
a) Relevant Data
b) Deployment
c) Test data
d) Scoping

Q16. Match the following: [2024]

a) 1-D, 2-A, 3-B, 4-C
b) 1-D, 2-C, 3-B, 4-A
c) 1-B, 2-A, 3-D, 4-C
d) 1-C, 2-B, 3-A, 4-D

Q17. With reference to the AI Model Life Cycle, which of the following is true for Building the Model? [2024]
a) This is arguably the most important part of your AI project.
b) The phrase is ‘garbage in, garbage out’.
c) Planning and motivational aspects.
d) Iterative process comprising all steps relevant to building the AI/ML model.

Q18. During the third step of the AI Model Life Cycle, the volume of test data can be large, which presents ___________. [2024]
a) Complexities
b) Accuracy
c) Efficiency
d) Redundancy

Q19. The machine learning life cycle is the ___________ process that AI or machine learning projects follow. [2024]
a) Irreversible
b) Cyclic
c) One-time
d) Static

Q20. Data Modelling focuses on developing models that are either descriptive or ___________. [2024]
a) Inclusive
b) Predictive
c) Selective
d) Reactive