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, 2024

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Question 1

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 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

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 4

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 5

Which of the following is an example of supervised learning?

A : K-means

B : Unsupervised Learning

C : Linear Regression

D : Linear Regression

Answer: D

Page: 1 / 30

Total 147 Questions | Updated On: May 21, 2024

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