Q1. Which of the following is a renewable source of energy?
a) Coal
b) Petrol
c) Solar energy
d) Natural gas
Q2. The concept of sustainable development emphasizes:
a) Economic growth only
b) Environmental protection only
c)Social equity only
d) Balanced integration of economic growth,
environmental protection, and social equity
Q3. Which of the following practices contributes to sustainable
development?
a) Overuse of chemical fertilizers
b) Deforestation
c) Rainwater harvesting
d) Excessive industrialization
Q4. The term 'intergenerational equity' in sustainable development
refers to:
a) Equal rights for all age groups
b) Fair distribution of resources between current and future generations
c) Equal employment opportunities
d) Uniform taxation policies
Q5. Which of the following is a Sustainable Development Goal (SDG)
set by the United Nations?
a) Zero Hunger
b) Unlimited Industrial Growth
c) Space Exploration
d) Nuclear Armament
Q6. Afforestation helps in:
a) Increasing pollution
b) Depleting groundwater
c) Restoring
ecological balance
d) Urbanization
Q7. Which of the following is NOT a challenge to sustainable
development?
a) Water scarcity
b) Energy crisis
c) Biodiversity conservation
d) Food security
Q8. Sustainable agriculture practices include:
a) Use of chemical pesticides b) Monoculture farming c) Organic
farming d) Slash and burn agriculture
Q9. The main aim of sustainable development is to:
a) Increase industrial output b) Meet present needs without
compromising future generations' ability to meet their needs c)
Maximize resource exploitation d) Focus solely on economic growth
Q10. Which of the following is a strategy for promoting sustainable
development?
a) Overfishing b) Deforestation c) Waste management d)
Excessive mining
Q11. What does the term carbon footprint mainly refer to?
a) The carbon taken in by plants from the air b) The total greenhouse
gases people release through their activities c) Turning carbon into
usable fuels d) The oxygen that trees produce
Q12. What is the main purpose of learning Green Skills?
a) To increase fossil fuel usage b) To support nature and grow the
economy in a healthy way c) To produce more industrial waste
d) To reduce jobs in environment-friendly fields
Q13. Which of these is not a renewable energy source?
a) Wind power
b) Sunlight (solar power)
c) Coal
d) Water-based energy (hydropower)
Q14. What is one eco-friendly step industries can take?
a) Using machines that save energy
b) Making more plastic products
c) Throwing waste into rivers
d) Cutting down forests
Q15. What do the 3Rs in sustainability mean?
a) Reuse, Repair, and Restore
b) Reduce, Reuse, and Recycle
c)Reform, Rebuild, and Reuse
d) Redesign, Replace, and Renew
Q16. 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
Q17. 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
Q18. 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
Q19. 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
Q20. 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
Q21. What do frameworks provide in the context of problem-solving?
a) Random solutions
b) Step-by-step guidance
c) Legal advice
d) Ethical justifications
Q22 . 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
Q23. 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
Q24. 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
Q24. What is the primary domain of application for Bioethics?
a) Agriculture
b) Healthcare and life sciences
c) Information technology
d) Environmental conservation
Q25. 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.
Q26. Assertion: Value-based frameworks in ethics provide guidance by
focusing on fundamental ethical principles and values.
Reasoning: These frameworks reflect 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.
Q27.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
Q 28.How you can identify the problem scoping in the project.
a) Understand why the project was started
b) Define the project’s primary objectives
c) Outline the project’s work statement.
d) All of the above
Q29.For better efficiency of an AI project Training data should be _______
i) Relevant ii) Scattered iii) Structured iv) Authentic
Choose the correct option:
a) Both i and ii
b) Both i and iv
c) Only I
d) Only iv
Q30. Which one of the following is the second stage of AI project cycle?
a) Data Exploration b) Data Acquisition
c) Modelling d) Problem Scoping
Q31. Which of the following comes under Problem Scoping?
a) System Mapping
b) 4Ws Canvas
c) Data Features
d) Web scraping
Q32. The primary purpose of data exploration in AI project cycle is
a) To make data more complicated
b) To simplify complex data
c) To discover patterns and insights in data
d) To visualize data
Q33. How you can identify the problem scoping in the project.
a) Understand why the project was started
b) Define the project’s primary objectives
c) Outline the project’s work statement.
d) All of the above
Q34.__________ summarizes all of the important points in one place.
a) Problem statement template
b) Problem statement document
c) Problem statement files
d) None of the above
Q35. Which of the following is an example of supervised learning?
a) Clustering animals into groups
b) Spam email classification
c) Discovering shopping patterns
d) Grouping news articles
Q36. What type of data does supervised learning use?
a) Unlabelled
b) Random
c) Labelled
d) Mixed
Q37. Which model works on the principle of reward and punishment?
a) Supervised Learning
b) Unsupervised Learning
c) Classification
d) Reinforcement Learning
38. Which sub-field of AI mimics the human brain structure?
a) Artificial Neural Networks
b) Convolutional Networks
c) Decision Trees
d) Rule-based Systems
Q39. What does ANN stand for?
a) Artificial Nerve Network
b) Automated Neural Network
c) Artificial Neural Network
d) Adaptive Node Network
Q40. Which type of learning is used when we do not know the output?
a) Supervised
b) Unsupervised
c) Reinforcement
d) Logical
Q41. Which of the following is not an application of machine learning and deep
learning?
a) Digit recognition
b) Face detection
c) Spam email classification
d) Rule-based chat
Q42. What does the input layer in a neural network do?
a) Feed data into the network
b) Connect output nodes
c) Process information
d) Decide final result
Q43. Which AI model uses fixed rules to make decisions?
a) Reinforcement model
b) Learning-based model
c) Rule-based model
d) Regression model
Q44.Which of the following is a feature in a dataset?
a) Labels only
b) Column attributes
c) Output values
d) Predefined answers
Q45.Which learning type is most suitable for anomaly detection?
a) Unsupervised
b) Reinforcement
c) supervised
d) Regression
Q46.Which of the following is a classification problem?
a) Predicting stock prices
b) Grouping books by genre
c) Estimating house prices
d) Predicting whether a customer will buy a product or not
Q47.In reinforcement learning, what happens when the agent performs incorrectly?
a) It is terminated
b) It is rewarded
c) It is penalized
d) It resets
Q48.Deep learning is best applied in which scenario?
a) large image datasets
b) Structured tabular data
c) small dataset
d) Binary classification
Q49.Which of the following best describes a regression model?
a) Classifies data into clusters
b) Predicts continuous values
c) Finds associations
d) Uses feedback for learning
50.Which learning model would you choose for a stock price prediction system?
a) Clustering
b) Classification
c) Regression
d) Association
Q51. Which of the following is valid according to Neural Networks?
a) Neural Network contain 4 layers (input, processing, hidden and output layers)
b) In Neural Networks every node is essentially a machine learning algorithm.
c) Use the Neural Network if the dataset is small only.
d) The input layers processes the data with algorithms and supply to next layer.
Q52.What differentiates reinforcement learning from supervised learning?
a) Uses labelled data
b) Uses reward-based feedback
c) Works only with images
d) Is used for classification
Q53.Which layer of a neural network performs most of the computation?
a) Input layer
b) Output layer
c) Hidden layer
d) Bias layer
Q54.In neural networks, what are weights and biases used for?
a) Visualizing features
b) Scaling output
c) Adjusting influence of input nodes
d) Measuring data size
Q55.In association models, what kind of insight is generated?
a) Labels
b) Predictions
c) Relations between variables
d) Probabilities
Q56.A smart assistant recommends songs based on listening history. Which type of
learning is it using?
a) Supervised
b) Unsupervised
c) Reinforcement
d) Regression
Q57.A company wants to forecast next quarter's revenue. Which model should they
use?
a) Classification
b) Regression
c) Clustering
d) Reinforcement
Q58.An AI robot improves its performance by navigating a maze through repeated
tries. What learning type is this?
a) Supervised
b) Unsupervised
c) Reinforcement
d) Regression
Q59.A retail store wants to understand which products are frequently bought
together. Which model fits?
a) Classification
b) Regression
c) Clustering
d) Association
Q60.An app filters spam messages using a pre-trained dataset. What learning
approach does it use?
a) Supervised
b) Unsupervised
c) Reinforcement
d) Association
