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Exam DY0-001 topic 1 question 78 discussion

Actual exam question from CompTIA's DY0-001
Question #: 78
Topic #: 1
[All DY0-001 Questions]

A company created a very popular collectible card set. Collectors attempt to collect the entire set, but the availability of each card varies, with because some cards have higher production volumes than others. The set contains a total of 12 cards. The attributes of the cards are below:

A data scientist is provided a historical record of cards purchased, which was acquired by a local collectors' association. The data scientist needs to design an initial model iteration to predict whether or not the animal on the card lives in the sea or on land given the provided attributes. Which of the following is the best way to accomplish this task?

  • A. ARIMA
  • B. Linear regression
  • C. Association rules
  • D. Decision trees
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Suggested Answer: D 🗳️
by SuntzuLegacy at May 20, 2025, 12:04 a.m.

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SuntzuLegacy
1 month, 1 week ago
Selected Answer: D
D. Decision trees. A decision tree is a straightforward, supervised classification algorithm that can use categorical attributes (e.g., wrapper color, shape) to predict whether the animal is “Sea” or “Land.” This is the most direct solution for this task.
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