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CompTIA DY0-001 Exam - Topic 5 Question 14 Discussion

Actual exam question for CompTIA's DY0-001 exam
Question #: 14
Topic #: 5
[All DY0-001 Questions]

Which of the following does k represent in the k-means model?

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Suggested Answer: C

In k-means clustering, the parameter k directly defines how many clusters the algorithm will partition the data into.


by Glynda at Jan 05, 2026, 05:16 AM

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Sharmaine
3 days ago
I always get k-means and k-nearest neighbors mixed up. Hopefully, the exam doesn't have both!
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Billy
8 days ago
C) Number of clusters makes the most sense to me.
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Gail
13 days ago
C) Number of clusters is the correct answer.
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Avery
19 days ago
I definitely recall k being linked to clusters in k-means, but I wonder if it could also refer to something else in a different context.
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Carma
24 days ago
I’m a bit confused; I thought k might relate to data splits, but now I’m leaning towards clusters after reviewing my notes.
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Zack
29 days ago
I remember practicing a question about k-means, and I’m pretty sure k is the number of clusters. That sounds right.
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Florinda
1 month ago
I think k represents the number of clusters, but I’m not entirely sure. It could be something else.
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Isadora
1 month ago
The k-means algorithm is all about partitioning the data into k clusters, so I'm pretty sure the answer is C) Number of clusters. That's a key part of how the algorithm works, so I think I've got this one figured out.
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Paz
1 month ago
I'm a little confused on this one. Is k the number of data splits or the distance between features? I'll have to review my notes on k-means to be sure. Hopefully I can narrow it down during the exam.
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Freeman
2 months ago
Okay, I've got this. The k in k-means stands for the number of clusters we want the algorithm to find. So the correct answer has to be C) Number of clusters. I'm feeling pretty confident about that.
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Aretha
2 months ago
Hmm, I'm a bit unsure about this one. I know k-means has something to do with clustering, but I can't quite remember if k represents the number of clusters or something else. I'll have to think this through carefully.
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Cory
2 months ago
I think the answer is C) Number of clusters. The k-means model is all about grouping data into k clusters, so that seems like the most logical interpretation.
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