ISACA AI Fundamentals Certification Sample Questions

AI Fundamentals Dumps, AI Fundamentals PDF, AI Fundamentals VCE, ISACA Artificial Intelligence Fundamentals VCE, ISACA AI Fundamentals PDFThe purpose of this Sample Question Set is to provide you with information about the ISACA Artificial Intelligence Fundamentals (AI Fundamentals) exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the AI Fundamentals certification test. To get familiar with real exam environment, we suggest you try our Sample ISACA AI Fundamentals Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual ISACA Artificial Intelligence Fundamentals certification exam.

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ISACA AI Fundamentals Sample Questions:

01. In machine learning, what is a labeled dataset used for?
a) For unsupervised learning
b) For supervised learning
c) To store neural network data
d) To enhance hardware performance
 
02. Choose the correct features of a decision tree:
a) Splits data based on attributes
b) Organizes data in a linear sequence
c) Utilizes a tree-like structure
d) Requires labeled data
 
03. What type of AI involves machines that learn from rewards and penalties to achieve a goal?
a) Unsupervised learning
b) Supervised learning
c) Reinforcement learning
d) Deep learning
 
04. In AI ethics, which principle stresses the importance of keeping users informed about how AI is used?
a) Transparency
b) Efficiency
c) Reliability
d) Security
 
05. Which AI model is often used for image recognition tasks?
a) Linear Regression
b) Convolutional Neural Network (CNN)
c) Decision Tree
d) K-Nearest Neighbors (KNN)
 
06. What is one advantage of using cloud-based AI services?
a) Unlimited storage without cost
b) Elimination of data preprocessing
c) Reduced network security risks
d) Immediate access to specialized hardware and scalability
 
07. Which of the following is commonly used to train an AI model to identify patterns in images?
a) Decision trees
b) Random forest
c) Convolutional Neural Networks (CNNs)
d) Linear regression
 
08. In deep learning, what is “backpropagation” used for?
a) Initializing weights in the model
b) Calculating errors and updating weights
c) Organizing data into categories
d) Reducing the model’s complexity
 
09. Which of the following metrics is typically used to evaluate classification models?
a) Mean Absolute Error
b) Root Mean Squared Error
c) Accuracy
d) R-squared
 
10. Which AI technique is best suited for analyzing customer purchase history and suggesting similar products?
a) Supervised learning
b) Unsupervised learning
c) Reinforcement learning
d) Deep learning

Answers:

Question: 01
Answer: b		 Question: 02
Answer: a, c, d		 Question: 03
Answer: c		 Question: 04
Answer: a		 Question: 05
Answer: b
Question: 06
Answer: d		 Question: 07
Answer: c		 Question: 08
Answer: b		 Question: 09
Answer: c		 Question: 10
Answer: a

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