CompTIA DY0-001 Exam - Topic 1 Question 16 Discussion

Actual exam question for CompTIA's DY0-001 exam

Question #: 16
Topic #: 1

[All DY0-001 Questions]

The most likely concern with a one-feature, machine-learning model is high error due to:

Abias

Bdimensionality.

Cvariance.

Dprobability.

Show Suggested Answer

Suggested Answer: A

A model with only one feature is unlikely to capture the true complexity of the data's underlying relationships, leading to systematic underfitting - i.e., high bias.

by Ethan at Apr 04, 2026, 01:06 AM

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Albina

18 days ago

I think it's more about C) variance, honestly.

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Helene

23 days ago

Definitely A) bias, it's a common issue.

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Felicia

1 month ago

Probability seems less relevant here, but I could see how bias might lead to high error in a simple model.

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Jaime

2 months ago

I practiced a similar question last week, and I think it was about variance being a concern in models with too many features.

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Reena

2 months ago

I'm not entirely sure, but I remember something about dimensionality causing issues in more complex models.

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William

2 months ago

I think the answer might be A) bias, since a one-feature model could oversimplify the problem.

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