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: Dec 17, 2025

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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

In which phase of the machine learning process are hyperparameters tuned to optimize model performance?

A : Model Deployment

B : Model Evaluation

C : Model Training

D : Feature Engineering

E : Hyperparameter Tuning

F : Data Preprocessing

Answer: E

Question 3

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 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

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

Page: 1 / 30

Total 147 Questions | Updated On: Dec 17, 2025

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