Free Practice Isaca AI-Fundamentals Exam Questions 2025

Stay ahead with 100% Free Artificial Intelligence Fundamentals Certificate AI-Fundamentals Dumps Practice Questions

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Total 147 Questions | Updated On: Apr 22, 2025

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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

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 4

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 5

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

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Total 147 Questions | Updated On: Apr 22, 2025

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