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: Nov 14, 2024

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Question 1

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 2

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 3

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 4

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 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: Nov 14, 2024

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