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?

AVariance is a measure of how far a single observed value is from a set ot va IN

BVariance is a measure of how far an observed value is from the variable's maximum or minimum value.

CVariance is a measure of central tendency of a set of values.

DVariance is a measure of how far a set of values is spread out from the sets central value.
Variance is a statistical measure that quantifies the dispersion or spread of a set of values around their mean (central value). It is calculated by taking the average of the squared differences between each value and the mean of the dataset. A higher variance indicates that the data points are more spread out from the mean, while a lower variance suggests that they are closer to the mean. This measure is fundamental in statistics to understand the degree of variability within a dataset.WikipediaWikipedia+1Investopedia+1

Show Suggested Answer

Suggested Answer: D

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

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Lynelle

2 months ago

D is clear and accurate. Variance is all about spread!

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Oren

2 months ago

B doesn't cover the whole picture. It's too narrow.

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Gregoria

2 months ago

C is definitely wrong. Variance isn't about central tendency.

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Lavelle

2 months ago

A is misleading. It focuses too much on a single value.

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Venita

2 months ago

Agreed! D explains the spread well.

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Scarlet

2 months ago

I think D is the best choice. It really captures variance.

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Frankie

3 months ago

I thought variance was related to max/min values, not the mean!

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Karl

3 months ago

Nope, it's about the whole set's spread, not just one value.

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Salley

3 months ago

Wait, isn't variance just about individual values?

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Jessenia

4 months ago

Totally agree, it's all about the dispersion!

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Janey

4 months ago

Variance shows how spread out values are from the mean.

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Rossana

4 months ago

Variance, the statistical equivalent of a toddler throwing a tantrum. Gotta love it!

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Laura

4 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

4 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

4 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

5 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

5 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

5 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

5 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

5 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

5 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

6 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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