SET 1 (40Q)

What is the ultimate goal of artificial intelligence?

• To create entertainment systems

• To replicate human intelligence and behavior

• To replace all human tasks with machines

• To enhance human physical abilities

Neural networks are computational models inspired by:

• Biological neurons in the human brain

• Mechanical processing systems

• Language structures

• Environmental patterns

In a neural network, the function of an activation function is to:

• Store data

• Process weights

• Transform inputs before sending to the next layer

• Control output values directly

The process of training a neural network involves:

• Adjusting the neurons' physical structure

• Changing the weights between neurons

• Reducing the number of neurons

• Increasing the data storage

What is the primary layer structure in a typical neural network?

• Input layer, middle layer, output layer

• Primary layer, activation layer, output layer

• Input layer, hidden layers, output layer

• Base layer, processing layer, activation layer

Natural Language Processing (NLP) aims to:

• Convert images to text

• Enable computers to understand and respond to human language

• Automate logical reasoning

• Simplify visual data processing

Which of the following is an example of NLP?

• Image recognition

• Voice recognition in Siri

• Robotics

• Graph analysis

An example of ambiguity in NLP is:

• Different interpretations of the word 'bank' (riverbank vs. financial bank)

• Multiple spellings of the same word

• Mispronunciations in voice recognition

• Use of formal vs. informal language

Tokenization in NLP involves:

• Dividing text into sentences

• Converting text into a format for processing

• Breaking down text into words or phrases

• Translating text to another language

A lexical database commonly used in NLP to find synonyms is:

• DBPedia

• FactForge

• WordNet

• WordTree