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Essentials

Complete Subject Question Bank

Subject Overview
Review software development basics, basic data structures (arrays, strings), common logic constructs, flowchart analysis, and the fundamentals of Generative AI.
Essentials#1

In a neural network, what does a neuron compute?

A
A weighted sum followed by an activation function
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#2

Which function introduces non-linearity in a neural network?

A
Activation Function
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#3

Which of the following is NOT a layer type in a typical neural network?

A
Quantum Layer
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#4

Which application of ML is used to detect unusual patterns in data?

A
Anomaly Detection
B
Support Vector Machines
C
Decision Trees
D
K-Nearest Neighbors

This question has been retained as-is due to its unique context.

Essentials#5

In which type of ML does an agent learn by interacting with an environment?

A
Reinforcement Learning
B
Support Vector Machines
C
Decision Trees
D
K-Nearest Neighbors

This question has been retained as-is due to its unique context.

Essentials#6

Which of the following is a common activation function in neural networks?

A
ReLU (Rectified Linear Unit)
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#7

How is a neural network's performance typically evaluated during training?

A
Using a validation set
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#8

Which of the following is a challenge in training deep neural networks?

A
Vanishing/Exploding gradients
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#9

What is the role of the loss function in training a neural network?

A
To quantify the difference between predicted and actual values
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#10

What is the primary purpose of backpropagation?

A
Adjusting weights based on the error
B
Support Vector Machines
C
Decision Trees
D
K-Nearest Neighbors

This question has been retained as-is due to its unique context.

Essentials#11

What is the primary purpose of a loss function in training neural networks?

A
To quantify the difference between predicted and actual values
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#12

Which of the following is a technique to prevent overfitting in neural networks?

A
Dropout
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#13

Which of the following is NOT a common machine learning algorithm?

A
Quantum Entanglement
B
Supervised Learning
C
Unsupervised Learning
D
Reinforcement Learning

This question has been retained as-is due to its unique context.

Essentials#14

What is the main difference between regression and classification?

A
Regression predicts a continuous output, Classification predicts a discrete label
B
Support Vector Machines
C
Decision Trees
D
K-Nearest Neighbors

This question has been retained as-is due to its unique context.

Essentials#15

What is the primary goal of machine learning?

A
To allow computers to learn from data
B
Supervised Learning
C
Unsupervised Learning
D
Reinforcement Learning

This question has been retained as-is due to its unique context.

Essentials#16

In the context of neural networks, what does the term "backpropagation" refer to?

A
The method of adjusting weights based on the error
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#17

Which component of a neural network is responsible for combining inputs and passing them to the next layer?

A
Neuron (or Node)
B
Recurrent Neural Network (RNN)
C
Convolutional Neural Network (CNN)
D
Generative Adversarial Network (GAN)

This question has been retained as-is due to its unique context.

Essentials#18

Which activation function outputs a value between 0 and 1?

A
Sigmoid
B
Likelihood function
C
Support Vector Machines
D
Decision Trees

This question has been retained as-is due to its unique context.

Essentials#19

Which of the following is NOT a type of machine learning?

A
Recursive Learning
B
Supervised Learning
C
Unsupervised Learning
D
Reinforcement Learning

This question has been retained as-is due to its unique context.

Essentials#20

Which application of ML is used to group similar items?

A
Clustering
B
Support Vector Machines
C
Decision Trees
D
K-Nearest Neighbors

This question has been retained as-is due to its unique context.

Key Topics to Study

Based on our question bank analysis, master these concepts to score high in Essentials.

GenAISoftwareArrayPseudocodeAlgorithmSortingNeuralJavaScript