Review the following error traceback:
Which statement describes the error being raised?
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Certified Data Engineer Professional Exam - Question 52
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Correct Answer: BE
The error message clearly states that the column heartrateheartrateheartrate cannot be resolved based on the input columns provided. This indicates that there is no column with the name heartrateheartrateheartrate in the table. The issue arises from the invalid column name generated by the expression 3*'heartrate', which results in 'heartrateheartrateheartrate'. The DataFrame is expected to have a column named heartrate, not a string repetition of the column name.
Discussion
9 commentsCertPeopleOption: B
Sep 12, 2023It's B, there is no column with that name
rok21Option: E
Dec 9, 2023E is correct
sturcuOption: B
Oct 16, 2023No such column found
DileepvikramOption: B
Nov 9, 2023Answer is B
npc0001Option: B
Nov 9, 2023Answer B
GulenurOption: E
Dec 5, 2023Answer is E df.select(3*df['heartrate']) returns perfect result without error
Gulenur_GSOption: E
Dec 5, 2023the answer is E, because df.select(3*df['heartrate']).show() perfectly returns
chokthewa
Jan 21, 20243*"heartrate" is triple of string "heartrate" ,isn't value of heartrate multiplied by 3.
guillesdOption: B
Feb 7, 2024It's B. Regarding E, a syntax error would mean that the query is not valid due to a wrongfully written SQL statement. However, this is not the case. The column just does not exist.
Jay_98_11Option: B
Jan 13, 2024https://sparkbyexamples.com/spark/spark-cannot-resolve-given-input-columns/