Certified Data Engineer Professional Exam

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Question 52

Review the following error traceback:

Which statement describes the error being raised?

The code executed was PySpark but was executed in a Scala notebook.

There is no column in the table named heartrateheartrateheartrate

There is a type error because a column object cannot be multiplied.

There is a type error because a DataFrame object cannot be multiplied.

There is a syntax error because the heartrate column is not correctly identified as a column.

Correct Answer: B

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

CertPeopleOption: B

It's B, there is no column with that name

rok21Option: E

E is correct

guillesdOption: B

It'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.

Gulenur_GSOption: E

the answer is E, because df.select(3*df['heartrate']).show() perfectly returns

chokthewa

3*"heartrate" is triple of string "heartrate" ,isn't value of heartrate multiplied by 3.

GulenurOption: E

Answer is E df.select(3*df['heartrate']) returns perfect result without error

npc0001Option: B

Answer B

DileepvikramOption: B

Answer is B

sturcuOption: B

No such column found

Jay_98_11Option: B

https://sparkbyexamples.com/spark/spark-cannot-resolve-given-input-columns/