CBSE Class 9 AI Chapter 4 MCQs with Answers (2026-27) | Introduction to Generative AI | 50 Important Questions
Class 9 · Artificial Intelligence
Q1. What is the main focus of Unit 4 in the CBSE Class 9 Artificial Intelligence curriculum?
A. Statistical Data Analysis
B. Introduction to Generative AI
C. Data Literacy Processes
D. Python Programming Basics
Show Answer
Answer: B. Introduction to Generative AI
Explanation: Unit 4 introduces students to the fundamentals of Generative AI, its working, applications, tools, and ethical considerations.
Q2. Generative AI mainly focuses on:
A. Sorting existing data
B. Creating new content rather than only analyzing data
C. Building computer hardware
D. Deleting databases
Show Answer
Answer: B. Creating new content rather than only analyzing data
Explanation: Unlike traditional AI systems that classify or predict, Generative AI creates new content such as text, images, music, videos, and code.
Q3. What is the primary difference between Conventional AI and Generative AI?
A. Conventional AI is always faster.
B. Conventional AI classifies or predicts, while Generative AI creates new content.
C. Generative AI does not require data.
D. Conventional AI works only on computers.
Show Answer
Answer: B. Conventional AI classifies or predicts, while Generative AI creates new content.
Explanation: Conventional AI focuses on recognizing patterns and making predictions, whereas Generative AI produces entirely new outputs based on learned patterns.
Q4. According to the CBSE curriculum, approximately how many teaching hours are allocated for the "Introduction to Generative AI" unit?
A. 10 Hours
B. 20 Hours
C. 30 Hours
D. 40 Hours
Show Answer
Answer: B. 20 Hours
Explanation: The CBSE curriculum recommends approximately 20 hours for teaching the Introduction to Generative AI unit.
Q5. The topic "Generative AI vs Conventional AI" helps students understand:
A. Computer hardware
B. The differences in the working of both AI types
C. Internet history
D. Spreadsheet software
Show Answer
Answer: B. The differences in the working of both AI types
Explanation: Students learn how Conventional AI focuses on analysis and prediction, whereas Generative AI creates new content.
Q6. Which of the following is one of the learning outcomes of this unit?
A. Learning only Statistics
B. Defining Generative AI and identifying its different types
C. Building computer hardware
D. Writing advanced Python programs
Show Answer
Answer: B. Defining Generative AI and identifying its different types
Explanation: Students are expected to understand the concept of Generative AI and classify different Generative AI models.
Q7. Generative AI can generate:
A. Images only
B. Text only
C. Audio only
D. Images, Text, Audio, and other digital content
Show Answer
Answer: D. Images, Text, Audio, and other digital content
Explanation: Modern Generative AI models are capable of creating multiple types of content, including text, images, audio, videos, and even computer programs.
Q8. The classroom activity "Guess the Real Image vs AI-generated Image" demonstrates:
A. Poor image quality produced by AI
B. The ability of Generative AI to create highly realistic content
C. How to edit photographs
D. How to compress images
Show Answer
Answer: B. The ability of Generative AI to create highly realistic content
Explanation: This activity helps students understand that AI-generated images have become so realistic that distinguishing them from real photographs can be difficult.
Q9. Generative AI learns by:
A. Reading printed books only
B. Identifying patterns in massive datasets
C. Using a keyboard continuously
D. Connecting to the internet all the time
Show Answer
Answer: B. Identifying patterns in massive datasets
Explanation: Generative AI is trained on very large datasets and learns the underlying patterns, relationships, and structures to generate similar content.
Q10. Besides technology, this unit also emphasizes the ________ implications of Generative AI.
A. Financial
B. Ethical
C. Biological
D. Geological
Show Answer
Answer: B. Ethical
Explanation: The CBSE curriculum highlights ethical issues such as privacy, bias, copyright, misinformation, and responsible use of Generative AI.
Q11. What does the acronym GAN stand for?
A. General Artificial Network
B. Generative Adversarial Network
C. Global Access Network
D. Graphical AI Network
Show Answer
Answer: B. Generative Adversarial Network
Explanation: GAN stands for Generative Adversarial Network, a popular Generative AI model used for creating realistic images, videos, and other digital content.
Q12. In a Generative Adversarial Network (GAN), the two competing components are:
A. Input and Output
B. Generator and Discriminator
C. CPU and GPU
D. Keyboard and Mouse
Show Answer
Answer: B. Generator and Discriminator
Explanation: The Generator creates new content, while the Discriminator checks whether the generated content is real or fake. Both improve through competition.
Q13. What does VAE stand for?
A. Visual AI Engine
B. Variational Autoencoder
C. Virtual Access Engine
D. Variable AI Encoder
Show Answer
Answer: B. Variational Autoencoder
Explanation: A Variational Autoencoder (VAE) is a Generative AI model used to generate new data that resembles the training data.
Q14. What is the full form of RNN?
A. Random Neural Network
B. Recurrent Neural Network
C. Real Network Node
D. Recursive Neural Node
Show Answer
Answer: B. Recurrent Neural Network
Explanation: Recurrent Neural Networks (RNNs) are designed to process sequential data such as text, speech, and music.
Q15. Generative AI learns primarily by identifying ________ in the training data.
A. Passwords
B. Patterns
C. File names
D. Internet addresses
Show Answer
Answer: B. Patterns
Explanation: Like other AI systems, Generative AI studies patterns in large datasets and uses those patterns to generate new content.
Q16. Which of the following is a hands-on activity recommended for learning image generation using Generative AI?
A. Microsoft Excel
B. GAN Paint
C. PowerPoint
D. Notepad
Show Answer
Answer: B. GAN Paint
Explanation: GAN Paint is an interactive tool that demonstrates how Generative AI can create and modify images using artificial intelligence.
Q17. In a learning-based AI system, the machine develops its own ________ to map input data to the desired output.
A. Hardware
B. Algorithm
C. Keyboard
D. Display Screen
Show Answer
Answer: B. Algorithm
Explanation: Instead of following fixed rules, learning-based AI creates its own mathematical model (algorithm) from the training data.
Q18. The training dataset used for Generative AI should ideally be:
A. Small and limited
B. Large and representative
C. Collected from only one person
D. Consisting of images only
Show Answer
Answer: B. Large and representative
Explanation: Large and diverse datasets help Generative AI learn better patterns and produce more accurate and unbiased outputs.
Q19. Fine-tuning a Generative AI model is mainly done to:
A. Increase the computer's storage
B. Improve the quality of the generated output
C. Reduce internet speed
D. Change the software logo
Show Answer
Answer: B. Improve the quality of the generated output
Explanation: Fine-tuning adjusts the model after initial training so that it produces more accurate, useful, and desired results.
Q20. Recurrent Neural Networks (RNNs) are particularly useful for generating:
A. Static photographs only
B. Sequential data such as text and music
C. Computer hardware
D. Internet connections
Show Answer
Answer: B. Sequential data such as text and music
Explanation: RNNs remember previous information in a sequence, making them suitable for generating text, speech, music, and other sequential data.
Q21. How can Generative AI assist architects?
A. By carrying construction materials
B. By generating innovative building designs and layouts
C. By operating cranes automatically
D. By constructing buildings physically
Show Answer
Answer: B. By generating innovative building designs and layouts
Explanation: Generative AI helps architects create unique building designs, explore multiple design options, and optimize structures before construction begins.
Q22. In software development, Generative AI is commonly used for:
A. Cleaning computer hardware
B. Generating code and assisting in debugging
C. Manufacturing processors
D. Increasing internet speed
Show Answer
Answer: B. Generating code and assisting in debugging
Explanation: Generative AI tools can write code, suggest improvements, explain programming concepts, and help programmers find and fix errors.
Q23. How is Generative AI used in the music industry?
A. By manufacturing musical instruments
B. By composing new melodies and music
C. By selling concert tickets
D. By repairing speakers
Show Answer
Answer: B. By composing new melodies and music
Explanation: Generative AI can create original songs, melodies, background music, and sound effects based on learned musical patterns.
Q24. Which of the following can Generative AI create for content creators?
A. Blog posts
B. Social media content
C. Marketing copy
D. All of the above
Show Answer
Answer: D. All of the above
Explanation: Generative AI is widely used to create articles, blogs, advertisements, captions, emails, product descriptions, and many other forms of digital content.
Q25. How can Generative AI benefit the fashion industry?
A. By washing clothes automatically
B. By generating innovative clothing designs and patterns
C. By stitching clothes manually
D. By selling garments online
Show Answer
Answer: B. By generating innovative clothing designs and patterns
Explanation: Fashion designers use Generative AI to explore new styles, patterns, color combinations, and clothing designs.
Q26. Which of the following is a popular text-generation tool?
A. ChatGPT
B. Adobe Photoshop
C. VLC Media Player
D. Calculator
Show Answer
Answer: A. ChatGPT
Explanation: ChatGPT is a Generative AI tool that can answer questions, generate text, summarize information, write code, and assist users with various tasks.
Q27. Gemini is a Generative AI model developed by:
A. Microsoft
B. Google
C. Apple
D. Amazon
Show Answer
Answer: B. Google
Explanation: Gemini is Google's multimodal Generative AI model capable of understanding and generating text, images, audio, and more.
Q28. Microsoft Copilot is developed by:
A. Google
B. Apple
C. Microsoft
D. Meta
Show Answer
Answer: C. Microsoft
Explanation: Microsoft Copilot is Microsoft's AI assistant that helps users generate content, write code, summarize documents, and improve productivity.
Q29. Which evaluation parameter checks whether an AI's response sounds natural and conversational?
A. Dataset Size
B. Human-Like Response
C. Processing Speed
D. Memory Usage
Show Answer
Answer: B. Human-Like Response
Explanation: Human-Like Response measures how naturally and fluently an AI communicates with users, making conversations more realistic.
Q30. "Authenticity of Response" means that the AI should:
A. Produce colorful outputs
B. Provide reliable and factually correct information
C. Respond as quickly as possible
D. Always give lengthy answers
Show Answer
Answer: B. Provide reliable and factually correct information
Explanation: Authenticity refers to the correctness, reliability, and trustworthiness of the information generated by an AI system.
Q31. How can Generative AI help a student writing an essay on climate change?
A. By completing the entire homework without the student's involvement
B. By helping the student research, organize ideas, and improve writing
C. By deleting the teacher's assignment
D. By printing the essay automatically
Show Answer
Answer: B. By helping the student research, organize ideas, and improve writing
Explanation: Generative AI should be used as a learning assistant. It can help students understand topics, generate ideas, and improve their writing while encouraging original work.
Q32. A Generative AI image tool can create:
A. A realistic image from a text prompt
B. Only spreadsheets
C. Internet connections
D. Hardware components
Show Answer
Answer: A. A realistic image from a text prompt
Explanation: Text-to-image AI models generate realistic images based on descriptions provided by the user.
Q33. Which profession benefits from Generative AI by designing innovative buildings and structures?
A. Gardening
B. Cooking
C. Architecture
D. History
Show Answer
Answer: C. Architecture
Explanation: Architects use Generative AI to explore multiple design possibilities, optimize layouts, and create creative building concepts.
Q34. Audio generation tools powered by Generative AI are mainly used to:
A. Take photographs
B. Generate speech, music, and sound effects
C. Increase internet speed
D. Repair speakers
Show Answer
Answer: B. Generate speech, music, and sound effects
Explanation: Audio generation AI can produce realistic voices, background music, podcasts, and sound effects for various applications.
Q35. One major advantage of Generative AI over traditional rule-based systems is that it can:
A. Work without electricity
B. Learn from data and adapt to new situations
C. Replace computer hardware
D. Operate only on mobile phones
Show Answer
Answer: B. Learn from data and adapt to new situations
Explanation: Unlike fixed rule-based systems, Generative AI learns patterns from data and continuously improves its ability to generate meaningful content.
Q36. Which of the following is a major ethical concern associated with Generative AI?
A. High electricity consumption only
B. Potential job displacement
C. Slow internet connection
D. Limited keyboard support
Show Answer
Answer: B. Potential job displacement
Explanation: As Generative AI automates many tasks, it may reduce the need for certain jobs, making employment displacement an important ethical concern.
Q37. Generative AI can potentially expose sensitive personal information such as:
A. Favourite sports
B. Social security numbers or medical records
C. School timings
D. Weather reports
Show Answer
Answer: B. Social security numbers or medical records
Explanation: If not developed and used responsibly, AI systems may reveal or generate sensitive personal information, creating privacy risks.
Q38. Responsible use of Generative AI requires that training data should be:
A. Limited to one group of people
B. Diverse and representative of different populations
C. Collected without permission
D. Available only to developers
Show Answer
Answer: B. Diverse and representative of different populations
Explanation: Diverse datasets reduce bias and help AI generate fair and inclusive outputs for people from different backgrounds.
Q39. To reduce the spread of misinformation, AI-generated content should always be:
A. Shared immediately
B. Verified for accuracy before use
C. Deleted after reading
D. Accepted without question
Show Answer
Answer: B. Verified for accuracy before use
Explanation: AI can sometimes generate incorrect or misleading information. Therefore, users should always verify important facts from reliable sources.
Q40. The principle of "User Privacy and Consent" means:
A. Personal data may be shared freely.
B. Permission should be obtained before collecting or using someone's personal data.
C. Privacy is not important for AI systems.
D. AI should collect all available data.
Show Answer
Answer: B. Permission should be obtained before collecting or using someone's personal data.
Explanation: Respecting user privacy and obtaining consent before collecting or processing personal information are fundamental principles of Responsible AI.
Q41. What is a major challenge related to the ownership of AI-generated content?
A. AI cannot save files.
B. Determining who legally owns the content created by AI.
C. AI works only online.
D. AI cannot generate images.
Show Answer
Answer: B. Determining who legally owns the content created by AI.
Explanation: AI-generated content raises questions about copyright and ownership. It is often unclear whether the creator, the user, or the AI developer owns the generated work.
Q42. Why are public discussions about Artificial Intelligence important?
A. To increase the price of AI software.
B. To ensure AI is developed responsibly for the benefit of society.
C. To stop AI research completely.
D. To promote only one AI tool.
Show Answer
Answer: B. To ensure AI is developed responsibly for the benefit of society.
Explanation: Public discussions help governments, organizations, and citizens create policies that encourage ethical, fair, and responsible use of AI.
Q43. An AI recruitment system rejects women chefs because its training data is biased. This is an example of:
A. Data Compression
B. AI Bias
C. Machine Learning Accuracy
D. Data Visualization
Show Answer
Answer: B. AI Bias
Explanation: AI Bias occurs when an AI system produces unfair or discriminatory results because of biased or unbalanced training data.
Q44. Which of the following is a limitation of Generative AI?
A. It cannot generate text.
B. It may produce biased or factually incorrect information.
C. It cannot learn from data.
D. It works only without the internet.
Show Answer
Answer: B. It may produce biased or factually incorrect information.
Explanation: Generative AI can sometimes generate incorrect information (hallucinations) or biased responses depending on its training data.
Q45. Which Responsible AI principle ensures that AI systems treat all people fairly?
A. Privacy
B. Inclusion
C. Profitability
D. Automation
Show Answer
Answer: B. Inclusion
Explanation: Inclusion ensures that AI systems are designed to benefit everyone fairly and do not discriminate against individuals or groups.
Q46. What is the most responsible way for a student to use a Generative AI tool while completing homework?
A. Copy the entire AI-generated answer without reading it.
B. Use AI as a learning aid, verify the information, and write the final answer in their own words.
C. Submit AI-generated work without checking it.
D. Hide the use of AI from the teacher.
Show Answer
Answer: B. Use AI as a learning aid, verify the information, and write the final answer in their own words.
Explanation: Responsible AI use means using AI for research, idea generation, and learning while ensuring originality and accuracy in the final work.
Q47. AI Ethics helps developers create:
A. Faster computers only.
B. Better, safer, and more responsible AI systems.
C. Larger hard disks.
D. More expensive software.
Show Answer
Answer: B. Better, safer, and more responsible AI systems.
Explanation: AI Ethics provides principles that guide the development of AI systems that are fair, transparent, safe, and beneficial for society.
Q48. If an AI perfectly imitates the painting style of a famous artist, the major concern is:
A. Screen resolution
B. Copyright and ownership rights
C. Internet speed
D. Battery life
Show Answer
Answer: B. Copyright and ownership rights
Explanation: AI-generated content that closely copies an artist's style raises important questions about copyright, intellectual property, and creative ownership.
Q49. What does the term "Hallucination" mean in Generative AI?
A. The computer automatically restarts.
B. AI generates false or misleading information that appears to be correct.
C. AI loses internet connectivity.
D. The AI refuses to answer questions.
Show Answer
Answer: B. AI generates false or misleading information that appears to be correct.
Explanation: Hallucination occurs when an AI confidently produces inaccurate, fabricated, or misleading information that may sound believable.
Q50. What is the primary objective of Responsible AI guidelines?
A. To completely stop AI research.
B. To balance the benefits of AI with its potential risks.
C. To make AI available only to experts.
D. To replace all human jobs.
Show Answer
Answer: B. To balance the benefits of AI with its potential risks.
Explanation: Responsible AI aims to maximize the positive impact of AI while minimizing risks such as bias, privacy violations, misinformation, and misuse.
❓ Quick Revision
- Generative AI creates new content such as text, images, audio, videos, and code.
- Conventional AI mainly classifies, predicts, or analyzes existing data.
- GAN stands for Generative Adversarial Network, while VAE stands for Variational Autoencoder and RNN stands for Recurrent Neural Network.
- Popular Generative AI tools include ChatGPT, Gemini, and Microsoft Copilot.
- Generative AI is widely used in education, coding, architecture, fashion, music, content creation, and image generation.
- Important ethical issues include AI Bias, Privacy, Copyright, Ownership, Hallucinations, and Misinformation.
- Responsible AI promotes fairness, transparency, accountability, privacy, inclusion, and human oversight.
- Always verify AI-generated information before using it in assignments or important work.
? Exam Tip
For CBSE Class 9 AI examinations, pay special attention to the differences between Generative AI and Conventional AI, the full forms of GAN, VAE, and RNN, popular AI tools (ChatGPT, Gemini, Copilot), applications of Generative AI, and Responsible AI concepts such as Bias, Privacy, Copyright, Hallucination, and Ethical AI. These topics are frequently asked in MCQs, competency-based questions, and case-study questions.