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: Sep 15, 2026

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Question 1

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

Question 2

What is the purpose of the "learning rate" in gradient descent?

A : To control the speed of model training

B : To adjust the weight of input features

C : To determine the number of layers in a neural network

D : To set the threshold for classification

Answer: A

Question 3

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 4

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 5

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

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Total 147 Questions | Updated On: Sep 15, 2026

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