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: Jan 09, 2025

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Question 1

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 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

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 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

What is the primary objective of semi-supervised learning in machine learning?

A : Eliminate Overfitting

B : Minimize Labeling Costs

C : Enhance Model Performance

D : Increase Model Transparency

E : Maximize Model Complexity

F : Reduce Training Time

Answer: B

Page: 1 / 30

Total 147 Questions | Updated On: Jan 09, 2025

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