Artificial Intelligence for Everyone MCQs

Get Artificial Intelligence for Everyone MCQs with Answers based on the latest CBSE syllabus. With questions covering every topic, this complete collection helps you leave no part of the syllabus untouched and gives you the focused practice needed for high-scoring exam preparation. 🔥

Q1. A school receives thousands of student responses without categories and wants the system to identify naturally occurring groups. Which approach is most suitable?
a) Supervised Learning
b) Reinforcement Learning
c) Unsupervised Learning
d) NLG

Q2. A robot in a school laboratory receives rewards when it successfully completes a task and penalties when it fails. Which learning approach is demonstrated?
a) Supervised Learning
b) Unsupervised Learning
c) Reinforcement Learning
d) Statistical Data

Q3. A hospital uses X-ray images to help identify diseases. Which combination correctly identifies the AI domain and data type primarily involved?
a) NLP — text
b) Computer Vision — visual data
c) Statistical Data — speech
d) NLG — images

Q4. A student says, “The AI system is intelligent because it thinks exactly like a human.” Which statement from the handbook best challenges this claim?
a) AI machines calculate and process data rather than literally thinking like humans
b) AI cannot process data
c) AI never makes predictions
d) AI only works with mechanical devices

Q5. A company collects large amounts of customer information to develop an AI model. Customers are concerned about unauthorized use of their information. Which issue should the company address?
a) Pixel intensity
b) Data privacy and security
c) AI winter
d) Neural network threshold

Q6. A teacher gives a student an image with a resolution of 800 × 600 pixels and another with 1600 × 1200 pixels. Based on the handbook, which image is expected to provide more detail?
a) 800 × 600
b) 1600 × 1200
c) Both must have exactly the same detail
d) Resolution does not involve pixels

Q7. Statement I: NLP processes text and speech inputs.
Statement II: Computer Vision primarily processes images and videos.
a) Both Assertion (A) and Reason (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.

Q8. Assertion (A): AI can make predictions based on patterns in data.
Reason (R): AI enables machines to learn patterns and make predictions.
a) Both Assertion (A) and Reason (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.

Q9. Assertion (A): Supervised learning requires labelled data.
Reason (R): The model learns a mapping between input data and output labels using example input-output pairs.
a) Both Assertion (A) and Reason (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.

Q10. Assertion (A): Deep Learning generally takes less time to train than Machine Learning.
Reason (R): Deep Learning is heavily dependent on high-end machines and large datasets.
a) Both Assertion (A) and Reason (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.

Q11. Who is often referred to as the “Father of AI”?
a) Alan Turing
b) John McCarthy
c) Marvin Minsky
d) Herbert A. Simon

Q12. In which year was the term “Artificial Intelligence” first used by John McCarthy?
a) 1930
b) 1955
c) 1970
d) 2000

Q13. What does the term “Data is the new oil” imply?
a) Data is as valuable as oil.
b) Data is used as fuel for machines.
c) Data is a non-renewable resource.
d) Data and oil are unrelated.

Q14. Divya was learning neural networks. She understood that there were three layers in a neural network. Help her identify the layer that does processing in the neural network.
a) Output layer
b) Hidden layer
c) Input layer
d) Data layer 18

Q15. Which category of machine learning occurs in the presence of a supervisor or teacher?
a) Unsupervised Learning
b) Reinforcement Learning
c) Supervised Learning
d) Deep Learning

Q16. What does Deep Learning primarily rely on to mimic the human brain?
a) Traditional Programming
b) Artificial Neural Networks
c) Machine Learning Algorithms
d) Random Decision Making

Q17. What is the role of reinforcement learning in machine learning?
a) Creating rules automatically
b) Recognizing patterns in untagged data
c) Rewarding desired behaviors and/or penalizing undesirable ones
d) Mimicking human conversation through voice or text

Q18. Which AI application is responsible for automatically separating emails into “Spam” and “Not Spam” categories?
a) Gmail
b) YouTube
c) Flipkart
d) Watson

Q19. A school uses a system that studies students’ previous performance and predicts which topics they may find difficult. Which core capability of AI is being demonstrated?
a) Mechanical operation
b) Pattern learning and prediction
c) Fixed-function processing
d) Manual data entry

Q20. Which statement most accurately describes Artificial Intelligence according to the given content?
a) A system that only follows predefined rules
b) A field combining computer science and robust datasets for problem-solving
c) A mechanical system that performs physical operations
d) A system that completely replaces human judgment

Q21. A calculator performs arithmetic operations whenever a user enters numbers. Why is it not considered AI?
a) It cannot process numbers
b) It does not learn or think
c) It cannot perform calculations quickly
d) It requires electricity

Q22. Which situation best indicates that a machine is AI-based?
a) It performs the same task using fixed instructions every time
b) It collects data but does not analyze it
c) It learns from data and makes decisions based on context
d) It performs only mechanical operations

Q23. Which of the following is an example of AI understanding language?
a) A pulley lifting an object
b) Siri responding to a spoken request
c) A timer ringing after ten minutes
d) A microwave heating food

Q24. Which event is associated with Alan Turing in 1950?
a) Coining the term Artificial Intelligence
b) Organizing the Dartmouth Conference
c) Proposing the imitation game
d) Developing virtual assistants

Q25. Who coined the term “Artificial Intelligence” ?
a) Alan Turing
b) John McCarthy
c) Marvin Minsky
d) Herbert Simon

Q26. The period 1980–1990 was associated with:
a) the beginning of AI
b) AI winter
c) the Dartmouth Conference
d) the invention of NLP

Q27. Which factor contributed to the resurgence of AI in the 21st century?
a) Reduced data availability
b) Decrease in computing power
c) Advancement in computing power and data availability
d) Elimination of algorithms

Q28. A voice assistant designed primarily to answer voice-based queries and perform specific tasks is an example of:
a) Narrow AI
b) Broad AI
c) General AI
d) ASI

Q29. General AI refers to machines that:
a) perform one specific task
b) work only with numerical data
c) can perform any intellectual task a human can
d) only recognize images

Q30. Which statement about General AI is supported by the content?
a) It has already achieved human-level creativity
b) It currently possesses human-like abstract thinking
c) Current AI lacks human-like abstract thinking, strategizing and creativity
d) It is widely used in every industry

Q31. Which type of data is most similar to a neatly arranged table containing rows and columns?
a) Unstructured
b) Semi-structured
c) Structured
d) Random data

Q32. Which of the following is an example of unstructured data?
a) Stock prices arranged in columns
b) Names stored in a table
c) Customer comments
d) Dates stored in a database table

Q33. A social media video contains a video and hashtags used for categorization. It is best classified as:
a) Structured data
b) Unstructured data
c) Semi-structured data
d) Numerical data only

Q34. What makes semi-structured data easier to organize than unstructured data?
a) It contains no information
b) It uses metadata to identify characteristics
c) It always exists in rows and columns
d) It contains only numerical values

Q35. Which AI domain primarily deals with numerical, categorical and alphanumeric inputs?
a) Computer Vision
b) NLP
c) Statistical Data
d) NLG

Q36. Amazon’s personalized recommendations based on shopping habits are an example associated with:
a) Statistical Data
b) Computer Vision
c) NLG
d) Mechanical computing

Q37. Which domain focuses on processing text and speech?
a) Computer Vision
b) NLP
c) Statistical Data
d) Deep Neural Network

Q38. A system translates a sentence from Hindi to English. Which AI domain is primarily involved?
a) Computer Vision
b) Statistical Data
c) NLP
d) Reinforcement Learning

Q39. Which of the following is an NLP task?
a) Facial recognition
b) Object detection
c) Sentiment analysis
d) Medical image diagnosis

Q40. The primary focus of Natural Language Understanding is:
a) generating images
b) understanding the meaning of human language
c) storing numerical data
d) recognizing pixels

Q41. Which statement correctly differentiates NLU from NLG?
a) NLU generates language, while NLG understands it
b) NLU understands meaning, while NLG generates language
c) Both only process images
d) Both are types of computer vision

Q42. A system converts structured information into readable text. This is primarily:
a) NLU
b) NLG
c) Computer Vision
d) Statistical Data

Q43. Computer Vision primarily deals with:
a) text and speech
b) images and videos
c) only numerical data
d) database tables

Q44. Which application belongs most directly to Computer Vision?
a) Text summarization
b) Speech recognition
c) Object detection
d) Sentiment analysis

Q45. A digital image is essentially a grid of:
a) algorithms
b) pixels
c) labels
d) neurons

Q46. An image has a resolution of 1920 × 1080 pixels. What does 1920 represent?
a) Number of pixels vertically
b) Number of pixels horizontally
c) Number of colours
d) Number of images

Q47. Why can higher-resolution images provide more detail?
a) They contain more pixels
b) They contain fewer pixels
c) They remove all colour information
d) They eliminate numerical representation

Q48. AI algorithms process images by:
a) converting them into numerical representations
b) converting them into mechanical movements
c) removing all pixel information
d) converting them only into text

Q49. Machine Learning is best described as:
a) a subset of AI that enables computers to learn from data
b) a replacement for computer science
c) a mechanical process
d) a type of fixed-function hardware

Q50. Deep Learning is described as an AI function inspired by:
a) mechanical devices
b) human brain processing
c) database tables
d) fixed rules

Q51. Artificial Neural Networks are:
a) a subset of Machine Learning
b) a type of database
c) a type of structured data
d) unrelated to Deep Learning

Q52. Which sequence correctly represents the basic layers of a neural network?
a) Input → Hidden → Output
b) Output → Input → Hidden
c) Hidden → Output → Input
d) Data → Input → Mechanical

Q53. In a neural network, a node is activated when:
a) its output is below the specified threshold
b) its output is above the specified threshold
c) no data is supplied
d) the input layer is removed

Q54. If a neural network has more than three layers including the input and output layers, it is called:
a) a simple neural network
b) a Deep Neural Network
c) an unstructured network
d) a statistical network

Q55. Which statement correctly compares Machine Learning and Deep Learning?
a) ML generally works on large datasets while DL works on small datasets
b) ML can work on small datasets while DL works on large datasets
c) Both always require low-end machines
d) Both always take the same time to train

Q56. Which type of learning uses labelled data?
a) Unsupervised Learning
b) Reinforcement Learning
c) Supervised Learning
d) Deep Learning

Q57. A model is trained using examples where every input has a corresponding correct output. This is:
a) Supervised Learning
b) Unsupervised Learning
c) Reinforcement Learning
d) AI winter

Q58. Which of the following is a supervised learning algorithm mentioned in the handbook?
a) K-means clustering
b) PCA
c) Linear regression
d) Actor-critic

Q59. Unsupervised Learning works with:
a) labelled data
b) unlabelled data
c) only images with labels
d) reward signals only

Q60. The primary objective of unsupervised learning is to:
a) discover hidden patterns or structures
b) follow a teacher’s labels
c) maximize cumulative reward
d) convert text into speech

Q61. Which algorithm is associated with unsupervised learning?
a) Decision Tree
b) SVM
c) K-means clustering
d) Linear Regression

Q62. In Reinforcement Learning, an agent learns mainly through:
a) labelled datasets
b) trial and error with rewards or penalties
c) predefined database tables
d) image resolution

Q63. The goal of Reinforcement Learning is to:
a) maximize cumulative reward
b) classify only images
c) generate human language
d) store structured data

Q64. Which situation is most appropriate for Reinforcement Learning?
a) Grouping customers into clusters
b) Predicting a house price from labelled examples
c) Training an agent to play a game
d) Summarizing a document

Q65. Which of the following is an example of a Reinforcement Learning algorithm?
a) K-means
b) PCA
c) Q-learning
d) Linear Regression

Q66. AI can improve decision-making primarily because it:
a) eliminates all human decisions
b) analyzes large amounts of data and identifies patterns
c) avoids using data
d) works without algorithms

Q67. Which is a potential benefit of AI mentioned in the content?
a) Increased job displacement
b) Improved decision-making
c) Reduced data availability
d) Reduced innovation

Q68. AI can contribute to healthcare through:
a) drug discovery and medical diagnosis
b) eliminating all doctors
c) avoiding data analysis
d) mechanical devices only

Q69. Automation through AI may create concern about:
a) increased creativity
b) job displacement
c) improved productivity
d) better diagnosis

Q70. Which limitation makes it difficult to understand how some complex AI models reach their outputs?
a) High resolution
b) Lack of explainability
c) Structured data
d) Increased productivity

Q71. Large-scale collection of data for AI raises concerns regarding:
a) data privacy and security
b) image resolution only
c) game performance
d) language translation

Q72. A facial recognition system processes photographs to identify people. Which AI domain is primarily involved?
a) Statistical Data
b) NLP
c) Computer Vision
d) NLG

Q73. A company wants to discover hidden groups among customers without providing predefined categories. Which learning approach is most appropriate?
a) Supervised Learning
b) Unsupervised Learning
c) Reinforcement Learning
d) NLG

Q74. A robot receives a positive reward for taking the correct action and a penalty for an incorrect action. Which learning approach does this represent?
a) Supervised Learning
b) Unsupervised Learning
c) Reinforcement Learning
d) Statistical Data

Q75. Which option correctly represents the relationship among AI, ML and neural networks?
a) AI is a subset of ML, and ML is a subset of AI
b) ML is a subset of AI, and neural networks are a subset of ML
c) Neural networks are a subset of AI but unrelated to ML
d) ML and AI are completely unrelated