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  3. AI Fundamentals

ISACA AI Fundamentals Exam (page: 2)
ISACA Artificial Intelligence Fundamentals
Updated on: 19-Feb-2026

Viewing Page 2 of 9
AI Fundamentals PDF 60 Questions

The R2 notation can range from 0-100%. An R2 value of 0.845 signifies which type of a relationship?

  1. Neutral association
  2. Positive linear association
  3. Negative association

Answer(s): B

Explanation:

An R² value of 0.845 indicates that 84.5% of the variance in the dependent variable is explained by the independent variable(s), reflecting a strong positive linear association between them.



Which of the following is an example of the use of AI to assist consumers in finding new or old relationship connections?

  1. Apps that use facial recognition
  2. Apps that use a global positioning system (GPS)
  3. Apps that look at possible connection proximity

Answer(s): A

Explanation:

AI-powered apps that use facial recognition can assist consumers in finding new or old relationship connections by identifying and matching people based on stored or shared images.



Which of the following expert system components retrieves the information when a user queries the system?

  1. Knowledge base
  2. Inference engine
  3. Explanation module

Answer(s): B

Explanation:

In an expert system, the inference engine retrieves and applies the knowledge from the knowledge base to respond to a user's query, enabling reasoning and problem-solving.



Leveraging AI, data processing to scan systems for threats and weaknesses supports which of the following functions?

  1. Cybersecurity
  2. Superintelligence
  3. Marketing

Answer(s): A

Explanation:

AI-powered data processing can scan systems for threats and weaknesses, supporting cybersecurity by detecting vulnerabilities, identifying anomalies, and mitigating potential attacks.



Which of the following is a type of probability sampling?

  1. Sampling fraction
  2. Cluster
  3. Judgment

Answer(s): B

Explanation:

Cluster sampling is a type of probability sampling where the population is divided into groups (clusters), and entire clusters are randomly selected to represent the population.



Which of the following can be used by organizations to detect possible anomalies in employee actions?

  1. Deep neural networks
  2. Confusion matrix
  3. Behavioral AI

Answer(s): C

Explanation:

Behavioral AI can be used by organizations to detect anomalies in employee actions by learning normal behavior patterns and flagging deviations that may indicate risks or insider threats.



Combining AI with an individual's digital footprint can pose a significant risk due to which of the following algorithms?

  1. Cryptoeconomics
  2. Generative adversarial networks
  3. Watson

Answer(s): B

Explanation:

Generative adversarial networks (GANs) can exploit an individual's digital footprint to create highly realistic synthetic data, such as deepfakes, posing significant privacy and security risks.



Classification models are a form of which model type?

  1. Supervised learning
  2. Reinforcement learning
  3. Unsupervised learning

Answer(s): A

Explanation:

Classification models are a form of supervised learning because they are trained on labeled datasets where the input data is mapped to known output categories.



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