Free Isaca AI-Fundamentals Exam Questions

Become Isaca Certified with updated AI-Fundamentals exam questions and correct answers

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Total 147 Questions | Updated On: Apr 01, 2026

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Question 1

What is the main purpose of using activation functions in neural networks?

A : To normalize input data

B : To introduce non-linearity

C : To reduce dimensionality

D : To cluster data

Answer: B

Question 2

What is the primary objective of semi-supervised learning in machine learning?

A : Eliminate Overfitting

B : Minimize Labeling Costs

C : Enhance Model Performance

D : Increase Model Transparency

E : Maximize Model Complexity

F : Reduce Training Time

Answer: B

Question 3

What is the purpose of the "learning rate" in gradient descent?

A : To control the speed of model training

B : To adjust the weight of input features

C : To determine the number of layers in a neural network

D : To set the threshold for classification

Answer: A

Question 4

Which of the following is an example of supervised learning?

A : K-means

B : Unsupervised Learning

C : Linear Regression

D : Linear Regression

Answer: D

Question 5

Which of these is a benefit of using convolutional neural networks (CNNs) for image processing?

A : They require smaller datasets

B : They are less computationally intensive

C : They automatically detect important features

D : They do not require labeled data

Answer: C

Page: 1 / 30

Total 147 Questions | Updated On: Apr 01, 2026

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