CBSE Class 9 AI Chapter 1 MCQs with Answers (2026-27) | AI Reflection, Project Cycle & Ethics | 50 Important Questions
Class 9 · Artificial Intelligence
Q1. Which of the following best defines Artificial Intelligence (AI)?
A. A machine that follows fixed rules only
B. A machine possessing human-like traits such as learning and decision-making
C. A high-speed calculator
D. A remote-controlled robot
Show Answer
Answer: B. A machine possessing human-like traits such as learning and decision-making
Explanation: Artificial Intelligence (AI) enables machines to imitate human intelligence by learning from data, making decisions, solving problems, and improving their performance over time.
Q2. Which of the following is NOT one of the three major domains (strands) of Artificial Intelligence?
A. Statistical Data (Data Science)
B. Natural Language Processing (NLP)
C. Computer Vision
D. Cloud Computing
Show Answer
Answer: D. Cloud Computing
Explanation: The three major domains of AI are Data Science (Statistical Data), Natural Language Processing (NLP), and Computer Vision. Cloud Computing is a supporting technology but not an AI domain.
Q3. Which AI domain is responsible for converting 2D medical scans into 3D models?
A. Data Science
B. Computer Vision
C. Natural Language Processing
D. Robotics
Show Answer
Answer: B. Computer Vision
Explanation: Computer Vision enables machines to understand, analyze, and interpret images and videos, making applications such as medical image analysis possible.
Q4. A chatbot that answers students' questions about examinations mainly uses which AI domain?
A. Computer Vision
B. Natural Language Processing (NLP)
C. Robotics
D. Data Science
Show Answer
Answer: B. Natural Language Processing (NLP)
Explanation: NLP enables computers to understand, process, and respond to human language in the form of text or speech.
Q5. Banks analyze customers' transaction history to detect fraud. This is mainly an application of:
A. Data Science (Statistical Data)
B. Computer Vision
C. Natural Language Processing
D. Virtual Reality
Show Answer
Answer: A. Data Science (Statistical Data)
Explanation: Data Science analyzes large volumes of data to identify patterns, trends, and unusual activities such as fraudulent transactions.
Q6. Which programming language is widely used for Artificial Intelligence because it is easy to learn and has powerful libraries?
A. Java
B. C++
C. Python
D. Ruby
Show Answer
Answer: C. Python
Explanation: Python is one of the most popular programming languages for AI because of its simple syntax and rich collection of AI and Machine Learning libraries.
Q7. The brain's ability to understand and interpret what our eyes see is known as:
A. Visual Perception
B. Computer Vision
C. Deep Learning
D. Pattern Recognition
Show Answer
Answer: A. Visual Perception
Explanation: Visual perception is the human brain's ability to interpret images received through the eyes. Computer Vision attempts to replicate this ability in machines.
Q8. The "Rock, Paper, Scissors" activity in the AI curriculum demonstrates which AI domain?
A. Natural Language Processing
B. Computer Vision
C. Data Science (Statistical Data)
D. Robotics
Show Answer
Answer: C. Data Science (Statistical Data)
Explanation: The activity demonstrates how machines analyze data patterns and make predictions based on previous observations.
Q9. Google's "Quick, Draw!" game mainly uses which domain of Artificial Intelligence?
A. Natural Language Processing
B. Computer Vision
C. Robotics
D. Data Analytics
Show Answer
Answer: B. Computer Vision
Explanation: Quick, Draw! recognizes sketches made by users. Recognizing images and drawings is a task performed by Computer Vision.
Q10. Smart home assistants such as Alexa and Google Assistant mainly use NLP to:
A. Recognize faces
B. Understand voice commands and respond accordingly
C. Detect bank fraud
D. Repair electronic devices
Show Answer
Answer: B. Understand voice commands and respond accordingly
Explanation: Natural Language Processing enables voice assistants to understand spoken language, interpret user requests, and perform the desired actions.
Q11. The systematic process followed to develop an Artificial Intelligence solution is known as the:
A. AI Algorithm
B. AI Project Cycle
C. AI Development Loop
D. AI Ethics Framework
Show Answer
Answer: B. AI Project Cycle
Explanation: The AI Project Cycle is a step-by-step process used to develop AI solutions efficiently. It includes Problem Scoping, Data Acquisition, Data Exploration, Modeling, Evaluation, and Deployment.
Q12. What is the correct sequence of the first three stages of the AI Project Cycle?
A. Data Acquisition → Data Exploration → Problem Scoping
B. Problem Scoping → Data Acquisition → Data Exploration
C. Data Exploration → Problem Scoping → Data Acquisition
D. Problem Scoping → Modeling → Evaluation
Show Answer
Answer: B. Problem Scoping → Data Acquisition → Data Exploration
Explanation: Every AI project begins by identifying the problem, then collecting relevant data, and finally exploring that data before creating a model.
Q13. Which stage of the AI Project Cycle makes the AI solution available for real-world use?
A. Evaluation
B. Modeling
C. Deployment
D. Data Exploration
Show Answer
Answer: C. Deployment
Explanation: During Deployment, the trained AI model is integrated into applications such as websites, mobile apps, or software for public use.
Q14. Breaking a large problem into smaller, manageable tasks is called:
A. Evaluation
B. Modularity
C. Deployment
D. Automation
Show Answer
Answer: B. Modularity
Explanation: Modularity simplifies complex problems by dividing them into smaller parts, making AI projects easier to develop and manage.
Q15. The AI Project Cycle helps developers build AI solutions:
A. Faster and with better quality
B. Without collecting any data
C. Without testing the model
D. Using only human intelligence
Show Answer
Answer: A. Faster and with better quality
Explanation: Following the AI Project Cycle ensures a systematic approach, improving both the efficiency and quality of AI solutions.
Q16. Problem Scoping is the stage where we:
A. Train the AI model
B. Collect data
C. Identify the problem and define the goal
D. Deploy the application
Show Answer
Answer: C. Identify the problem and define the goal
Explanation: Problem Scoping helps clearly understand the problem, identify stakeholders, and define what the AI solution should achieve.
Q17. Which framework is used during Problem Scoping to understand the problem from different perspectives?
A. SWOT Analysis
B. 4Ws Problem Canvas
C. Fishbone Diagram
D. Decision Tree
Show Answer
Answer: B. 4Ws Problem Canvas
Explanation: The 4Ws Problem Canvas consists of Who, What, Where, and Why, helping define the scope of the AI project.
Q18. In the 4Ws Problem Canvas, the "Who" block identifies:
A. The location of the problem
B. The stakeholders affected by the problem
C. The technology used
D. The AI model
Show Answer
Answer: B. The stakeholders affected by the problem
Explanation: The "Who" block identifies the people or groups who are affected by the problem and will benefit from the AI solution.
Q19. Which block of the 4Ws Problem Canvas focuses on collecting evidence to prove that the problem exists?
A. Who
B. What
C. Where
D. Why
Show Answer
Answer: B. What
Explanation: The "What" block describes the problem in detail and gathers evidence such as reports, surveys, or articles to justify the need for a solution.
Q20. In the 4Ws Problem Canvas, the "Where" block identifies:
A. The benefits of the solution
B. The stakeholders involved
C. The place or context where the problem occurs
D. The programming language used
Show Answer
Answer: C. The place or context where the problem occurs
Explanation: The "Where" block explains the location or situation in which the problem exists, helping define the scope of the AI solution.
Q21. Which block of the 4Ws Problem Canvas explains the importance and benefits of solving the identified problem?
A. Who
B. What
C. Where
D. Why
Show Answer
Answer: D. Why
Explanation: The "Why" block explains why the problem should be solved and highlights the benefits that the proposed AI solution will provide to stakeholders.
Q22. Which tool is used to summarize the information collected through the 4Ws Problem Canvas into a single statement?
A. System Map
B. Problem Statement Template
C. Pie Chart
D. Decision Tree
Show Answer
Answer: B. Problem Statement Template
Explanation: The Problem Statement Template combines the findings from the 4Ws Canvas into a clear and concise statement describing the AI problem.
Q23. Which of the following is NOT one of the four components of the 4Ws Problem Canvas?
A. Who
B. What
C. Which
D. Why
Show Answer
Answer: C. Which
Explanation: The four components of the 4Ws Problem Canvas are Who, What, Where, and Why. "Which" is not one of them.
Q24. Data Acquisition is the process of:
A. Training an AI model
B. Collecting relevant data from different sources
C. Deploying an AI application
D. Evaluating the model
Show Answer
Answer: B. Collecting relevant data from different sources
Explanation: Data Acquisition involves gathering useful information from various sources so that the AI model can learn effectively.
Q25. The dataset used to teach an AI model is called:
A. Testing Data
B. Training Data
C. Sample Data
D. Evaluation Data
Show Answer
Answer: B. Training Data
Explanation: Training Data is the dataset used by an AI model to learn patterns and relationships before making predictions.
Q26. What is the primary purpose of Testing Data?
A. To teach the AI model
B. To evaluate the performance of the trained model
C. To collect information
D. To create graphs
Show Answer
Answer: B. To evaluate the performance of the trained model
Explanation: Testing Data is not used for learning. It is used to check how accurately the trained AI model predicts new or unseen data.
Q27. In a dataset, "Data Features" refer to the:
A. Characteristics or properties of the data
B. AI algorithm used
C. Output generated by the model
D. Hardware specifications
Show Answer
Answer: A. Characteristics or properties of the data
Explanation: Data Features are the individual characteristics or attributes of the data, such as age, height, marks, or temperature.
Q28. Which type of feature acts as the input to an AI model for making predictions?
A. Dependent Feature
B. Independent Feature
C. Output Feature
D. Testing Feature
Show Answer
Answer: B. Independent Feature
Explanation: Independent Features are the input variables provided to the AI model, while the Dependent Feature is the expected output.
Q29. Which tool is used to identify relationships among different factors affecting a complex problem?
A. Pie Chart
B. Bar Graph
C. System Map
D. Histogram
Show Answer
Answer: C. System Map
Explanation: A System Map visually represents how different factors are connected and influence one another in a complex system.
Q30. In a System Map, an arrow marked with a "+" sign indicates:
A. An inverse relationship between two variables
B. A direct relationship between two variables
C. No relationship between variables
D. A random relationship
Show Answer
Answer: B. A direct relationship between two variables
Explanation: A "+" sign indicates a direct relationship. If one variable increases, the other also tends to increase (and vice versa).
Q31. In a System Map, an arrow marked with a "–" sign indicates:
A. A direct relationship between two variables
B. No relationship between two variables
C. An inverse relationship between two variables
D. A circular relationship
Show Answer
Answer: C. An inverse relationship between two variables
Explanation: A "–" sign represents an inverse relationship. If one variable increases, the other decreases, and vice versa.
Q32. What is the primary objective of the Data Exploration stage in the AI Project Cycle?
A. To collect more data
B. To discover patterns and insights from the collected data
C. To deploy the AI model
D. To define the project goal
Show Answer
Answer: B. To discover patterns and insights from the collected data
Explanation: Data Exploration helps identify trends, relationships, and hidden patterns in the dataset before building the AI model.
Q33. Which type of graph is most suitable for showing changes in data over a period of time?
A. Pie Chart
B. Line Graph
C. Bar Graph
D. Histogram
Show Answer
Answer: B. Line Graph
Explanation: A Line Graph connects data points to show trends and variations over time, making it ideal for time-series data.
Q34. Which chart is commonly used to represent different parts of a whole?
A. Scatter Plot
B. Line Graph
C. Pie Chart
D. Area Chart
Show Answer
Answer: C. Pie Chart
Explanation: A Pie Chart represents data as slices of a circle, where each slice shows the proportion of the total.
Q35. Which software is mentioned in the CBSE AI curriculum for creating interactive data visualizations and dashboards?
A. Adobe Photoshop
B. Tableau
C. Microsoft Paint
D. VLC Media Player
Show Answer
Answer: B. Tableau
Explanation: Tableau is a powerful data visualization tool that helps users analyze data and create interactive dashboards.
Q36. Why is Data Visualization important in Artificial Intelligence?
A. It increases the speed of the Internet.
B. It helps understand patterns and trends in data easily.
C. It automatically creates AI models.
D. It replaces data collection.
Show Answer
Answer: B. It helps understand patterns and trends in data easily.
Explanation: Visual representations such as graphs and charts make large datasets easier to understand and help identify meaningful insights.
Q37. While predicting the popularity of songs, comparing singer popularity with chart rankings helps identify:
A. Hardware specifications
B. Patterns and relationships in data
C. Programming errors
D. Internet connectivity
Show Answer
Answer: B. Patterns and relationships in data
Explanation: Data Exploration identifies relationships between variables, allowing AI models to make more accurate predictions.
Q38. Which stage of the AI Project Cycle involves developing algorithms that can learn from data?
A. Data Acquisition
B. Modeling
C. Deployment
D. Problem Scoping
Show Answer
Answer: B. Modeling
Explanation: During the Modeling stage, developers build AI algorithms that learn patterns from the training data and make predictions.
Q39. In a Rule-Based approach, the rules followed by the machine are created by the:
A. Machine itself
B. Developer or programmer
C. End user
D. Internet
Show Answer
Answer: B. Developer or programmer
Explanation: Rule-Based systems follow predefined instructions written by developers and cannot learn beyond those rules.
Q40. Which modeling approach enables a machine to learn patterns from data and improve its performance over time?
A. Rule-Based Approach
B. Learning-Based Approach
C. Manual Approach
D. Static Programming Approach
Show Answer
Answer: B. Learning-Based Approach
Explanation: In the Learning-Based approach, the machine learns from examples and develops its own model to make predictions without being explicitly programmed for every situation.
Q41. What is the correct hierarchy of Artificial Intelligence technologies?
A. Deep Learning → Machine Learning → Artificial Intelligence
B. Machine Learning → Artificial Intelligence → Deep Learning
C. Artificial Intelligence → Machine Learning → Deep Learning
D. Artificial Intelligence → Deep Learning → Machine Learning
Show Answer
Answer: C. Artificial Intelligence → Machine Learning → Deep Learning
Explanation: Artificial Intelligence (AI) is the broadest field. Machine Learning (ML) is a subset of AI, and Deep Learning (DL) is a specialized subset of Machine Learning that uses neural networks.
Q42. An AI system learns to identify apples and bananas by studying thousands of labeled images. This is an example of:
A. Rule-Based Approach
B. Learning-Based Approach
C. Manual Programming
D. Structured Query Language
Show Answer
Answer: B. Learning-Based Approach
Explanation: The machine learns patterns from training data instead of following fixed rules. This is the main characteristic of a Learning-Based AI system.
Q43. What is the primary purpose of the Evaluation stage in the AI Project Cycle?
A. To collect additional data
B. To compare different models and select the most accurate one
C. To write the problem statement
D. To deploy the AI application
Show Answer
Answer: B. To compare different models and select the most accurate one
Explanation: During Evaluation, different AI models are tested on unseen data to measure their performance. The model with the best accuracy and reliability is selected.
Q44. Which evaluation metric is mentioned in the CBSE AI curriculum for measuring the performance of an AI model?
A. Bubble Sort
B. ROC Curve
C. HTML
D. SQL
Show Answer
Answer: B. ROC Curve
Explanation: The ROC (Receiver Operating Characteristic) Curve is an evaluation metric used to measure the performance and accuracy of classification models.
Q45. Implementing a trained AI model in a mobile app or website is known as:
A. Data Acquisition
B. Modeling
C. Deployment
D. Data Exploration
Show Answer
Answer: C. Deployment
Explanation: Deployment is the final stage of the AI Project Cycle where the trained AI model is integrated into real-world applications for users.
Q46. AI solutions can be deployed on:
A. Mobile applications only
B. Websites only
C. Both websites and mobile applications
D. Desktop computers only
Show Answer
Answer: C. Both websites and mobile applications
Explanation: AI models can be deployed on multiple platforms, including websites, mobile apps, desktop software, and cloud-based services.
Q47. The principles that help determine what is morally right and wrong while developing AI systems are called:
A. Algorithms
B. Ethics
C. Programming Languages
D. Data Structures
Show Answer
Answer: B. Ethics
Explanation: AI Ethics refers to the moral principles that guide the responsible design, development, and use of Artificial Intelligence technologies.
Q48. An AI system mostly shows images of men when searching for "doctor" and women when searching for "secretary." This demonstrates:
A. Privacy
B. Inclusion
C. Bias
D. Transparency
Show Answer
Answer: C. Bias
Explanation: Bias occurs when an AI system makes unfair decisions because it has been trained on biased or unbalanced data.
Q49. Which AI ethics principle ensures that AI systems should benefit all people equally, regardless of gender, income, or background?
A. Bias
B. Inclusion
C. Privacy
D. Automation
Show Answer
Answer: B. Inclusion
Explanation: Inclusion ensures that AI technologies are fair, accessible, and beneficial to everyone without discrimination.
Q50. Which AI ethics principle focuses on protecting users' personal information from unauthorized access or misuse?
A. Transparency
B. Inclusion
C. Privacy
D. Accountability
Show Answer
Answer: C. Privacy
Explanation: Privacy ensures that personal data collected by AI systems is stored securely and used responsibly, following ethical and legal guidelines.
❓ Quick Revision
- Artificial Intelligence consists of three major domains: Data Science, Computer Vision, and Natural Language Processing (NLP).
- The AI Project Cycle has six stages: Problem Scoping, Data Acquisition, Data Exploration, Modeling, Evaluation, and Deployment.
- The 4Ws Problem Canvas includes Who, What, Where, and Why to clearly define an AI problem.
- Training Data teaches the AI model, while Testing Data checks its performance.
- Rule-Based AI follows predefined rules, whereas Learning-Based AI learns from data.
- The Evaluation stage helps select the most accurate AI model before Deployment.
- Important AI Ethics principles include Bias, Inclusion, Privacy, and Human Rights.
? Exam Tip
For CBSE examinations, remember the correct sequence of the AI Project Cycle, the 4Ws Problem Canvas, the three AI domains, and the difference between Rule-Based and Learning-Based AI. These concepts are frequently tested in MCQs, competency-based, and case-study questions.