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: Feb 18, 2026

Add To Cart

Question 1

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 2

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 3

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 4

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 5

How does batch normalization help in training deep neural networks?

A : By reducing overfitting

B : By speeding up convergence

C : By increasing model accuracy

D : By simplifying the model architecture

Answer: B

Page: 1 / 30

Total 147 Questions | Updated On: Feb 18, 2026

Add To Cart