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Databricks Certified Data Analyst Associate Exam - Topic 5 Question 43 Discussion

Actual exam question for Databricks's Databricks Certified Data Analyst Associate exam
Question #: 43
Topic #: 5
[All Databricks Certified Data Analyst Associate Questions]

What describes the variance of a set of values?

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Suggested Answer: D

by Justine at Nov 21, 2025, 09:14 PM

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Lynelle
1 day ago
D is clear and accurate. Variance is all about spread!
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Oren
6 days ago
B doesn't cover the whole picture. It's too narrow.
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Gregoria
12 days ago
C is definitely wrong. Variance isn't about central tendency.
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Lavelle
17 days ago
A is misleading. It focuses too much on a single value.
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Venita
22 days ago
Agreed! D explains the spread well.
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Scarlet
27 days ago
I think D is the best choice. It really captures variance.
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Frankie
2 months ago
I thought variance was related to max/min values, not the mean!
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Karl
2 months ago
Nope, it's about the whole set's spread, not just one value.
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Salley
2 months ago
Wait, isn't variance just about individual values?
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Jessenia
2 months ago
Totally agree, it's all about the dispersion!
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Janey
2 months ago
Variance shows how spread out values are from the mean.
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Rossana
2 months ago
Variance, the statistical equivalent of a toddler throwing a tantrum. Gotta love it!
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Laura
3 months ago
Option D is the way to go. Variance is the measure of how much the values deviate from the mean. Simple as that.
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Stephanie
3 months ago
Variance is like the black sheep of the statistical family - it's the one that's always causing a ruckus and making the others look bad.
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Rodolfo
3 months ago
Variance is all about the spread of the data, not the central tendency. Option D makes the most sense.
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Romana
3 months ago
I thought variance was about the average of squared differences, but I can't recall if that means it's just about the central value or the spread overall.
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Ena
3 months ago
I remember practicing a question that asked about the difference between variance and standard deviation. I think variance relates to how values differ from the mean.
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Kent
3 months ago
The key here is that variance quantifies the degree of variability in the dataset. A higher variance means the values are more spread out, while a lower variance indicates they are clustered closer to the mean. I'm pretty confident D is the right answer.
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Lauryn
4 months ago
I think variance is about how spread out the values are, but I'm not sure if it's just from the mean or something else.
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Leoma
4 months ago
Okay, I remember learning that variance is calculated by taking the average of the squared differences between each value and the mean. So it's definitely a measure of how dispersed the values are, not just how far a single value is from the extremes.
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Stacey
4 months ago
The variance measures how far the values are from the mean, not the max or min. Option D is the correct answer.
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Timmy
4 months ago
I feel like option D sounds right, but I’m a bit confused about the wording. Isn’t variance also related to how far individual values are from the mean?
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Tresa
5 months ago
Hmm, I'm a bit confused. Is variance just about how far a single value is from the max or min? Or is it about the overall spread of the values?
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Paris
5 months ago
I think the answer is D. Variance measures how spread out the values are from the central value or mean.
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Gwen
4 months ago
I think D captures the essence of variance perfectly.
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