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Exam DY0-001 topic 1 question 10 discussion

Actual exam question from CompTIA's DY0-001
Question #: 10
Topic #: 1
[All DY0-001 Questions]

A data scientist needs to:
Build a predictive model that gives the likelihood that a car will get a flat tire.
Provide a data set of cars that had flat tires and cars that did not.
All the cars in the data set had sensors taking weekly measurements of tire pressure similar to the sensors that will be installed in the cars consumers drive. Which of the following is the most immediate data concern?

  • A. Granularity misalignment
  • B. Multivariate outliers
  • C. Insufficient domain expertise
  • D. Lagged observations
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Suggested Answer: D 🗳️
by SuntzuLegacy at May 19, 2025, 8:43 a.m.

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SuntzuLegacy
1 month, 1 week ago
Selected Answer: A
A. Granularity misalignment is the most immediate concern because you have many weekly sensor readings per car, but only one label per car (flat tire or not). You must realign or aggregate the data so that each set of sensor readings corresponds properly to the outcome you’re trying to predict.
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