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: Jul 01, 2025

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Question 1

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 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 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 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 5

Which of the following is NOT a common technique for improving the performance of classification models?

A : Feature Engineering

B : Ensemble Learning

C : Hyperparameter Tuning

D : Regularization

E : Gradient Descent

F : Dimensionality Reduction

Answer: E

Page: 1 / 30

Total 147 Questions | Updated On: Jul 01, 2025

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