WorksheetsAI Quiz for Class X
Total questions: 25
Worksheet time: 13mins
Which of the following is NOT a domain of AI?
Computer Vision
Natural Language Processing
Quantum Computing
Data Science
What does NLP stand for in AI?
Natural Learning Processing
Neural Linguistic Programming
Natural Language Processing
Navigational Learning Processing
Which AI domain is used in smart assistants like Alexa and Siri?
Computer Vision
Data Analytics
NLP
Robotics
Which of the following is an application of Computer Vision?
Face recognition
Speech translation
Chatbot responses
Data encryption
In AI Ethics, which of the following is an example of bias?
Using a large dataset for training
An AI hiring system favoring one gender over another
Creating an AI chatbot for customer service
Using supervised learning for classification tasks
The 4Ws problem canvas is used to define AI problems clearly. What do the 4Ws stand for?
What, Where, When, Why
Who, What, Where, Why
Why, When, Where, Which
Where, What, When, Who
Why is the 'Who' section important in the 4Ws canvas?
It identifies the problem location
It helps determine data sources
It identifies stakeholders who will be affected
It defines the AI model
Which of the following statements about AI model evaluation is true?
AI models do not need evaluation once trained
Evaluation helps check if the model is biased
AI models should always give 100% accuracy
Evaluation is done before training the AI model
What is the final stage of the AI Project Cycle?
Data Exploration
Model Evaluation
Deployment
Data Collection
Which of the following is a key statistical concept used in AI?
Mean
Gravity
Magnetism
Photosynthesis
What does a higher standard deviation in data indicate?
Data points are close to the mean
Data is more spread out
Data is completely random
Data is always correct
Which branch of mathematics is MOST useful in making AI predictions?
Geometry
Probability and Statistics
Trigonometry
Algebra
What is Generative AI used for?
Predicting outcomes based on data
Creating new content such as images, text, or music
Sorting data into categories
Detecting spam emails
Which of the following is an example of Generative AI?
Self-driving cars
AI-powered music composition
AI chatbots answering FAQs
AI models used in medical diagnosis
How does AI evaluate the performance of a model?
By randomly selecting outputs
By checking accuracy, precision, and recall
By repeating the training phase indefinitely
By ignoring incorrect predictions
Which metric is used to measure an AI model's accuracy?
Mean
Confusion Matrix
Histogram
Interquartile Range
Why is evaluation important in AI?
To increase errors in the model
To verify if the model performs well on real-world data
To make AI models more complicated
To eliminate the need for AI ethics
Which type of learning requires labeled data?
Supervised Learning
Unsupervised Learning
Reinforcement Learning
None
What does CNN stand for in AI?
Computer Neural Network
Convolutional Neural Network
Computational Numeric Notation
Coded Neural Nodes
Which AI domain helps in detecting objects in images?
Computer Vision
NLP
Data Science
Robotics
Which AI domain would be best suited for this system?
NLP
Computer Vision
Data for AI
Generative AI
What type of learning should be used to train this AI system?
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Deep Learning
Which mathematical concept will be most useful for detecting anomalies in transaction data?
Probability
Geometry
Trigonometry
Calculus
Before deployment, what should be done to ensure the AI model performs correctly?
Test the model on real-world banking data
Launch the model without testing
Train the model only on historical data
Remove ethical considerations from the project
Assertion: AI should always replace human decision-making in critical areas like healthcare and law enforcement. Reason: AI can analyze data faster than humans and always makes unbiased decisions.
Both Assertion and Reason are true, and Reason is the correct explanation.
Both Assertion and Reason are true, but Reason is not the correct explanation.
Assertion is true, but Reason is false.
Assertion is false, but Reason is true.
