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: May 21, 2024

Add To Cart

Question 1

What is the primary objective of k-means clustering?

A : Classification

B : Association Rule Learning

C : Regression

D : Dimensionality Reduction

E : Clustering

F : Anomaly Detection

Answer: E

Question 2

What is the primary objective of cross-entropy loss in classification tasks?

A : Maximize Prediction Accuracy

B : Minimize Prediction Error

C : Minimize Prediction Variance

D : Maximize Prediction Confidence

E : Measure Prediction Uncertainty

F : Improve Model Stability

Answer: C

Question 3

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 4

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

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: May 21, 2024

Add To Cart