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: May 21, 2026

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Question 1

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 2

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 3

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

Question 4

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 5

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

Page: 1 / 30

Total 147 Questions | Updated On: May 21, 2026

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