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?

Afreqlcems

Bcov

Csummary

Drollup

Show Suggested 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.

by Susy at Jul 07, 2024, 04:01 AM

Limited Time Offer

25%

Off

Get Premium DP-500 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Roselle

4 months ago

I believe freqItems is used for finding frequent items, not data distribution statistics. So, D) describe is the correct answer.

upvoted 0 times

...

Vonda

5 months ago

I'm not sure, but I think A) freqItems might also be used for data distribution statistics.

upvoted 0 times

...

Huey

5 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.

upvoted 0 times

...

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.

upvoted 0 times

Johnathon

3 months ago

'describe' is my go-to method for getting a quick summary of the DataFrame.

upvoted 0 times

...

Arminda

3 months ago

I prefer using 'describe' as well, it gives a quick snapshot of the data distribution.

upvoted 0 times

...

Nina

3 months ago

I agree, 'describe' is definitely a time-saver when it comes to getting an overview of the data.

upvoted 0 times

...

Diane

3 months ago

D) describe

upvoted 0 times

...

Lezlie

3 months ago

Yes, 'describe' is definitely the way to go. It gives you all the key statistics you need at a glance.

upvoted 0 times

...

Gilbert

3 months ago

D) describe

upvoted 0 times

...

Jaime

4 months ago

C) sample

upvoted 0 times

...

Amber

4 months ago

B) corr

upvoted 0 times

...

Devorah

4 months ago

A) freqItems

upvoted 0 times

...

Whitney

5 months ago

I agree with Alecia, describe method gives statistical summary of the DataFrame.

upvoted 0 times

...

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?

upvoted 0 times

Nadine

4 months ago

Agreed, it's definitely the easiest option.

upvoted 0 times

...

Glory

5 months ago

I think 'describe' is the way to go.

upvoted 0 times

...

Alecia

5 months ago

I think the answer is D) describe.

upvoted 0 times

...

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.

upvoted 0 times