Free Isaca AI-Fundamentals Exam Questions

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

Page: 1 / 30

Total 147 Questions | Updated On: Aug 15, 2025

Add To Cart

Question 1

What is the primary objective of logistic regression in machine learning?

A : Unsupervised Learning

B : Classification

C : Clustering

D : Dimensionality Reduction

E : Regression

F : Anomaly Detection

Answer: B

Question 2

Which of the following is an example of a generative model in machine learning?

A : Logistic Regression

B : Decision Tree

C : Support Vector Machine

D : Generative Adversarial Network (GAN)

E : Naive Bayes Classifier

F : K-means Clustering

Answer: D

Question 3

What is the purpose of dimensionality reduction in machine learning?

A : Data Augmentation

B : Model Evaluation

C : Model Regularization

D : Feature Extraction

E : Model Interpretation

F : Noise Reduction

Answer: D

Question 4

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

Question 5

What is the primary purpose of the softmax activation function in the output layer of a neural network for multi-class classification?

A : Reduce Model Complexity

B : Introduce Non-Linearity

C : Scale Input Features

D : Speed Up Convergence

E : Normalize Data

F : Compute Class Probabilities

Answer: F

Page: 1 / 30

Total 147 Questions | Updated On: Aug 15, 2025

Add To Cart