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Microsoft Exam DP-500 Topic 1 Question 37 Discussion

Actual exam question for Microsoft's DP-500 exam
Question #: 37
Topic #: 1
[All DP-500 Questions]

You have an Azure Synapse Analytics notebook.

You run the xxsq1 magic command to render data into an Apache Spark DataFrame named df1, and then you run the following code.

display (df1, summary = true)

Which three attributes will be returned by the command? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

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Suggested Answer: A, C, D

by Art at Apr 11, 2024, 05:28 AM

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Erasmo
5 months ago
I'm leaning towards range, missing, and ordinal as the attributes returned.
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Sabra
5 months ago
I agree with user 1, the attributes returned should be type, range, and missing.
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Mira
6 months ago
I think it will be missing, unique, and ordinal.
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Franchesca
6 months ago
I'm not sure about ordinal, but I'm confident that type and unique will be returned.
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Mozell
6 months ago
I believe it will be range, missing, and unique.
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Iraida
6 months ago
I think the attributes returned will be type, range, and missing.
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Dalene
6 months ago
I'm not sure about the answer, but I think A) type and D) unique might be included.
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Delfina
6 months ago
I agree with Shawnta, I also think it's A) type, B) range, and C) missing.
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Lonna
7 months ago
I disagree, I believe the correct attributes are B) range, D) unique, and E) ordinal.
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Shawnta
7 months ago
I think the answer is A) type, B) range, and C) missing.
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Alfreda
8 months ago
Totally, the display() function is a lifesaver when you're working with large datasets. It's like having a little cheat sheet right there in your notebook. *chuckles* Though I guess if the dataset is really huge, the 'missing' and 'unique' values might not fit on the screen. Guess you'd have to scroll down to see the whole summary.
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Lavelle
8 months ago
Haha, yeah, 'ordinal'? Really? I feel like the exam writers are just trying to trip us up with that one. Let's focus on the more obvious choices.
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Delsie
8 months ago
Good point about the ordinal attribute. That could be useful information, especially if you're doing any sort of analysis or modeling on the data. As for the other options, I think you guys have the right idea. The display() function is really handy for getting a quick overview of your data.
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Kattie
8 months ago
I agree with you on C) and D), but I'm not so sure about B) range. I think that's more of a SQL thing, and this is asking about Spark Dataframes specifically. I'd say E) ordinal might be a better choice, since that could tell us if the columns have an inherent order to them.
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Myra
6 months ago
I'm leaning towards E) ordinal as well, it could provide valuable information.
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Shawnta
7 months ago
I agree with that, type sounds like a useful attribute to have.
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Dacia
7 months ago
I think A) type should be one of the attributes returned.
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Rashida
8 months ago
Ooh, good point! I hadn't thought about that. And 'ordinal' is throwing me off a bit - I'm not sure if that's a relevant attribute for this use case.
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Rodrigo
8 months ago
Hold up, what about 'range'? That could be a good one too, since it gives us information about the minimum and maximum values in the DataFrame.
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Pearline
8 months ago
Hmm, this question looks pretty straightforward. The display() function in Spark Dataframes typically returns a summary of the data, including things like the data type, missing values, and unique values. I'd say the correct answers are C) missing, D) unique, and possibly B) range as well.
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Cassie
8 months ago
Hmm, I'm leaning towards options A, C, and D. 'type' and 'missing' seem like obvious choices, and 'unique' could be useful for understanding the data distribution.
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Norah
8 months ago
Yeah, I agree. The options seem to cover a range of different data attributes, so we'll need to think carefully about which ones are actually returned by the display() function.
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Arlette
7 months ago
C) missing
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Antione
7 months ago
B) range
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Benton
8 months ago
A) type
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Haydee
8 months ago
Whoa, this question is tricky! I'm not too familiar with the display() function in Azure Synapse Analytics, but I think it's going to test our understanding of the different attributes it can return.
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