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Microsoft Exam DP-500 Topic 2 Question 45 Discussion

Actual exam question for Microsoft's DP-500 exam
Question #: 45
Topic #: 2
[All DP-500 Questions]

You are using a Python notebook in an Apache Spark pool in Azure Synapse Analytics.

You need to present the data distribution statistics from a DataFrame in a tabular view.

Which method should you invoke on the DataFrame?

Show Suggested Answer Hide Answer
Suggested Answer: B

pandas.DataFrame.corr computes pairwise correlation of columns, excluding NA/null values.

Incorrect:

* freqItems

pyspark.sql.DataFrame.freqItems

Finding frequent items for columns, possibly with false positives. Using the frequent element count algorithm described in https://doi.org/10.1145/762471.762473, proposed by Karp, Schenker, and Papadimitriou.'

* summary is used for index.

* There is no panda method for rollup. Rollup would not be correct anyway.


Contribute your Thoughts:

Roselle
4 months ago
I believe freqItems is used for finding frequent items, not data distribution statistics. So, D) describe is the correct answer.
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Vonda
4 months ago
I'm not sure, but I think A) freqItems might also be used for data distribution statistics.
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Huey
4 months ago
The 'describe' method is the way to go! It's like a magic trick - you wave your DataFrame at it, and *poof*, you've got a beautiful table of distribution stats. Saves you from having to do all that number-crunching yourself.
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Rosendo
5 months ago
Ah, the 'describe' method - the data analyst's best friend! It's like having a personal genie that can summarize your data in a snap. Beats trying to do it all by hand, that's for sure.
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Johnathon
3 months ago
'describe' is my go-to method for getting a quick summary of the DataFrame.
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Arminda
3 months ago
I prefer using 'describe' as well, it gives a quick snapshot of the data distribution.
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Nina
3 months ago
I agree, 'describe' is definitely a time-saver when it comes to getting an overview of the data.
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Diane
3 months ago
D) describe
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Lezlie
3 months ago
Yes, 'describe' is definitely the way to go. It gives you all the key statistics you need at a glance.
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Gilbert
3 months ago
D) describe
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Jaime
3 months ago
C) sample
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Amber
4 months ago
B) corr
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Devorah
4 months ago
A) freqItems
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Whitney
5 months ago
I agree with Alecia, describe method gives statistical summary of the DataFrame.
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Lourdes
5 months ago
Definitely 'describe'! It's the perfect tool for getting a quick overview of your data. Plus, it's way easier than trying to do all that manually. Who's got time for that?
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Nadine
4 months ago
Agreed, it's definitely the easiest option.
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Glory
4 months ago
I think 'describe' is the way to go.
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Alecia
5 months ago
I think the answer is D) describe.
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Pamella
5 months ago
Hmm, I think the 'describe' method is the way to go. It's like the Swiss Army knife of data analysis - it gives you a nice summary of the distribution, including measures like mean, standard deviation, and percentiles.
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Lyla
4 months ago
'describe' is definitely the method to use for tabular data distribution statistics.
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Lilli
4 months ago
I would go with 'describe' for data distribution statistics.
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Peggy
4 months ago
I think 'describe' will give you the statistics you need.
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Huey
4 months ago
I agree, 'describe' is the method you should use.
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Cherelle
5 months ago
Yeah, 'describe' is really handy for getting a quick overview of the data.
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Chauncey
5 months ago
I agree, 'describe' is the best choice for getting data distribution statistics.
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