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WorksheetsIntroduction_to_AI
Total questions: 30
Worksheet time: 30mins
What does AI primarily aim to do?
Replace hardware components
Develop antivirus software
Create systems that think and act like humans
Increase monitor resolution
Who is considered the father of AI?
Alan Turing
Charles Babbage
John McCarthy
Marvin Minsky
Which of the following is not a goal of AI?
Reasoning
Learning
Data Replication
Problem-solving
Which of the following is not a type of machine learning?
Supervised Learning
unsupervised learning
Integrated learning
Reinforced learning
What is the main purpose of machine learning?
Store data efficiently
Perform calculations faster
Enable machines to learn from data
Increase database size
Which of these is a real-world application of ML?
Face recognition
HTML scripting
Disk partitioning
MS Excel formulas
Rule-based AI systems uses
Training Data
Statistical models
if-then rules
Genetic algorithm
Machine Learning-based AI systems learn from
Predefined rules
Logic Programming
Historical data
Static inputs
In a rule-based AI system, knowledge is stored in
Neural networks
Hidden layers
Knowledge base
Data warehouse
A limitation of rule-based AI is
It cannot process text
It requires constant manual updates
it uses big data
it works only in real time
Narrow AI is also known as
Strong AI
Weak AI
Super AI
Deep AI
Which ML type uses labeled data?
Unsupervised
Reinforcement
Supervised
Semi-supervised
Which ML method is like trial and error?
Unsupervised
Reinforcement
Supervised
Deductive learning
Which of these problems is best suited for supervised learning?
Grouping customers
Predicting house prices
Identifying anomalies
clustering data
Which component does reinforcement learning use?
Loss function
Decision tree
Reward signal
Linear regression
Regression is used to
Classify categories
Predict continuous values
Segment data
Encrypt data
Which of the following is a regression algorithm?
Decision Tree
Logistic Regression
Linear Regression
Naive Bayes
In classification, the output is typically
A number
A category
A Data structure
A vector
Clustering is used in
Regression problems
Classification
Unsupervised learning
Supervised learning
In clustering, the goal is to
Minimize reward
Maximize classification
Group similar data
Predict future values
Clustering is helpful in
Labeling spam emails
Image segmentation
Predicting stock prices
Text summarization
Association mining is used to find
Cluster
Classifications
Relationships between variables
Decision Rules
Association rules are often used in
Market Basket Analysis
Clustering
Regression
Classification
Which type of ML model learns from feedback?
Unsupervised
Reinforcement
Supervised
Regression
Weak AI is best defined as
Systems with full human-like consciousness
Systems mimicking intelligent behavior in narrow tasks
Systems with emotions
Systems that can generalize across domains
Expert systems are described as
Autonomous robots
Systems embedding human expert knowledge
Neural networks
Unsupervised learning tools
K‑Means clustering is used to
Fit regression lines
Partition data into groups
predict labels
Generate reward signals
Decision trees can be used for
Only regression
Only classification
Both regression and classification
clustering
Which algorithm is suited for market-basket analysis?
Logistic regression
K-Means
Apriori
Decision Tree
Unsupervised learning is particularly useful when
Labels are abundant
Pre-defined outputs exist
Labels are not given and patterns must be found
Reward feedback is present
