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Snowflake Exam DSA-C02 Topic 3 Question 32 Discussion

Actual exam question for Snowflake's DSA-C02 exam
Question #: 32
Topic #: 3
[All DSA-C02 Questions]

Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. What does the ex-pression df[lambda x : x.index.str.endswith('3')] do?

Show Suggested Answer Hide Answer
Suggested Answer: D

It will Filters the row labelled r3.


Contribute your Thoughts:

Serina
2 months ago
This is a tough one, but I think I've got it. The lambda function is checking the row index, so the correct answer must be D. Though I can't help but wonder if the data frame is secretly a sentient being, just waiting to surprise us all.
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Eden
7 days ago
Haha, who knows, maybe the data frame is secretly sentient!
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Joesph
11 days ago
So the correct answer must be D.
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Cristy
16 days ago
I agree, the lambda function is checking the row index.
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Camellia
21 days ago
Haha, that would be quite the surprise if the data frame turned out to be sentient!
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Maurine
1 months ago
I think the correct answer is D, as it filters the row labelled r3.
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Izetta
1 months ago
I agree with you, the lambda function is indeed checking the row index.
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Ozell
1 months ago
I think you're right, it filters the row labelled r3.
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Estrella
2 months ago
Easy peasy! The lambda function is looking for rows where the index ends with '3', so the answer has to be D. Though I do wonder if the data frame has a sense of humor and will throw an error just to mess with us.
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Avery
2 months ago
Haha, the lambda function is like a secret code that only data scientists can crack! I'm going to go with D, because filtering rows seems like the most logical choice here.
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Gertude
2 months ago
Hmm, I'm not so sure about this one. It could be C, since the lambda function might be selecting the third column. But I'm leaning towards D, just to be safe.
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Deangelo
1 months ago
I'm not sure, but I think it could be A, returning the row name r3.
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Lea
1 months ago
Okay, let's go with D then.
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Luisa
2 months ago
I agree with User2, D seems more likely.
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Jesusita
2 months ago
I believe it's C, returning the third column.
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Bettina
2 months ago
I think it might be D too, filtering the row labelled r3.
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Leonie
2 months ago
I think it might be C, selecting the third column.
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Matthew
2 months ago
I'm not sure, I think it could be D, filtering the row labelled r3.
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Pauline
3 months ago
This is a tricky one! I think the correct answer is D, since the lambda function checks if the row index ends with '3', which would filter out just the row labeled 'r3'.
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Vanda
2 months ago
I believe it would result in an error, so I would go with B.
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Margart
2 months ago
I'm not sure, but I think it might be A.
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Paris
2 months ago
I think you're right, D seems like the correct answer.
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Virgie
3 months ago
That makes sense, so the answer is D) Filters the row labelled r3.
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Carman
3 months ago
I think it filters the row labelled r3.
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Virgie
3 months ago
What does df[lambda x : x.index.str.endswith('3')] do?
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