CompTIA Exam DY0-001 Topic 5 Question 4 Discussion

Actual exam question for CompTIA's DY0-001 exam

Question #: 4
Topic #: 5

A data scientist is developing a model to predict the outcome of a vote for a national mascot. The choice is between tigers and lions. The full data set represents feedback from individuals representing 17 professions and 12 different locations. The following rank aggregation represents 80% of the data set:

Which of the following is the most likely concern about the model's ability to predict the outcome of the vote?

AInterpolated data

BExtrapolated data

CIn-sample data

DOut-of-sample data

Show Suggested Answer

Suggested Answer: D

The aggregated feedback covers only 80% of respondents, mostly from a few professions and locations, so the model hasn't ''seen'' the remaining 20% (and those underrepresented groups). Its performance on those unseen subsets (out-of-sample data) is therefore the primary concern for how well it will predict the actual vote.

by Ruth at Jun 11, 2025, 06:48 PM

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Malcom

4 days ago

Ha! This is like a real-life version of the age-old debate: tigers vs. lions. I bet the data scientists are having a field day with this one.

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Tyisha

16 days ago

But what about in-sample data? Could that also be a concern for the model's prediction?

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Kaitlyn

20 days ago

I agree with Alease, using data outside the range may not accurately predict the outcome.

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Janine

21 days ago

I'm not sure, but I'd be worried about the potential for bias in the data. Tigers and lions are both pretty exciting mascots, but I wonder if certain regions or professions might have a preference.

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Alba

9 days ago

A: That's a good point. They might need to consider collecting more data from a wider range of sources to improve the model's accuracy.

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Talia

10 days ago

B: Yeah, it could be biased towards those specific groups. Maybe they should try to get more diverse data.

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Lashawnda

12 days ago

A: I think the concern might be that the model is only based on data from certain professions and locations.

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Shizue

23 days ago

Out-of-sample data seems like the most likely issue. The model is trained on only 80% of the data, so it might not accurately reflect the full population.

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Luisa

2 days ago

Yes, the model might not generalize well to the entire population with only 80% of the data.

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Lazaro

17 days ago

I agree, out-of-sample data could lead to inaccurate predictions.

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Alease

27 days ago

I think the concern could be extrapolated data.

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Leana

1 months ago

You know, I bet the model would be a lot more accurate if they just had a vote-off between a tiger and a lion mascot. That would give us the true pulse of the nation!

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Cordelia

3 days ago

B: Yeah, using data outside of what was collected could affect the model's accuracy.

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Maurine

19 days ago

A: I think the concern might be extrapolated data.

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