Question 39
Domain 1 — AI Concepts, Terminology, and Use CasesISACA AI Fundamentals Certification Practice Exam 4 AI Fundamentals Exam Questions Choose the correct features of a decision tree:
Correct answer: ACD
Explanation
A decision tree works by making successive decisions on input features, so it "splits data based on attributes" at each node. This is the defining structure of a tree model: internal nodes test an attribute, and branches route records according to the test outcome.
Why each option is right or wrong
A. Splits data based on attributes
Decision trees are defined as hierarchical classifiers that partition a dataset by testing one feature at each internal node and routing records down branches according to the test outcome. In standard machine-learning terminology, the split criterion is based on attributes/features such as information gain or Gini impurity, so the model’s core operation is to divide the data set at successive nodes using those attributes.
B. Organizes data in a linear sequence
C. Utilizes a tree-like structure
D. Requires labeled data