Free Printable Int. AIML

Worksheets

Int. AIML

Total questions: 20

Worksheet time: 7mins

Name

Class

Date

Who is considered the father of Artificial Intelligence?

Alan Turing

John McCarthy

Marvin Minsky

Herbert Simon

Which of the following best describes Artificial Intelligence?

Making computers faster

Programming computers to play games

Developing machines that can mimic human intelligence

Using databases to store information

Which of the following is NOT a component of Propositional Logic?

Syntax

Semantics

Tautologies

Random Variables

Which method is used to simplify logical arguments in AI?

Resolution in normal forms

Gradient descent

Neural networks

Clustering

An example of an Artificial Intelligence application is:

Web browser

Chess-playing computer

Operating System

Word Processor

What does a probability space consist of?

Sample space, events, probability measure

Random variables, sample data, statistics

Logic, syntax, semantics

Frequency, ratio, chance

Which theorem provides a way to update probabilities when new evidence is presented?

Bayes’ Theorem

Central Limit Theorem

Pythagorean Theorem

Regression Theorem

In probability, independence means:

Events always occur together

Events are mutually exclusive

One event’s occurrence does not affect the other

The probability of one event is zero

Which of the following represents a subjective approach to probability?

Based on personal belief or experience

Based on long-run frequency

Based on sample space counts

Based on random trials

10.

Which of the following is true about Bayesian Networks?

They are neural networks

They represent dependencies among random variables

They are clustering methods

They are optimization algorithms

11.

Machine Learning is a subset of:

Neural Networks

Artificial Intelligence

Data Mining

Cloud Computing

12.

Which of the following is an example of supervised learning?

K-Means Clustering

Decision Trees

Apriori Algorithm

PCA (Principal Component Analysis)

13.

Which of the following is a limitation of machine learning?

Automation of tasks

Requirement of large data for training

Ability to adapt

Pattern recognition

14.

Abstraction in Machine Learning refers to:

Data cleaning process

Generalization of knowledge representation

Feature scaling

Neural architecture search

15.

The first step in applying Machine Learning to data is:

Choosing an algorithm

Thinking about the input data

Training the model

Evaluating performance

16.

Which type of machine learning deals with finding hidden patterns in unlabeled data?

Supervised Learning

Reinforcement Learning

Unsupervised Learning

Deep Learning

17.

A spam email classifier is an example of:

Clustering

Regression

Classification

Reinforcement Learning

18.

Matching data to the right algorithm is important because:

It reduces the size of the dataset

It improves model performance and accuracy

It avoids programming errors

It ensures dataset confidentiality

19.

If a dataset contains customer age and salary to predict purchasing decisions, what kind of learning is applied?

Supervised Learning – Classification

Supervised Learning – Regression

Unsupervised Learning – Clustering

Reinforcement Learning

20.

Which of the following best reflects the highest level of machine learning evaluation?

Thinking about input data

Matching data to algorithms

Assessing success using error metrics and generalization

Choosing algorithm complexity

100 %

Int. AIML

Total questions: 20

Worksheet time: 7mins

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