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: Jun 06, 2025

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Question 1

What is the main purpose of using activation functions in neural networks?

A : To normalize input data

B : To introduce non-linearity

C : To reduce dimensionality

D : To cluster data

Answer: B

Question 2

Which of these metrics is used to evaluate a classifier's performance?

A : Accuracy

B : Mean Squared ErrorCorrect selection

C : Precision

D : Recall

E : F1 Score

F : Root Mean Squared Error

Answer: A,C,D,E

Question 3

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 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

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

Page: 1 / 30

Total 147 Questions | Updated On: Jun 06, 2025

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