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Exam Certified Associate Developer for Apache Spark topic 1 question 110 discussion

Actual exam question from Databricks's Certified Associate Developer for Apache Spark
Question #: 110
Topic #: 1
[All Certified Associate Developer for Apache Spark Questions]

The code block shown below contains an error. The code block intended to return a new DataFrame that is the result of an inner join between DataFrame storesDF and DataFrame employeesDF on column storeId. Identify the error.

Code block:

StoresDF.join(employeesDF, Seq("storeId")

  • A. The key column storeId needs to be a string like “storeId”.
  • B. The key column storeId needs to be specified in an expression of both Data Frame columns like storesDF.storeId ===employeesDF.storeId.
  • C. The default argument to the joinType parameter is “inner” - an additional argument of “left” must be specified.
  • D. There is no DataFrame.join() operation - DataFrame.merge() should be used instead.
  • E. The key column storeId needs to be wrapped in the col() operation.
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by cookiemonster42 at Aug. 2, 2023, 7:51 p.m.

Comments

Chosen Answer:
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58470e1
7 months ago
Selected Answer: A
Not sure why C was selected as it's indicating INNER which is the the default for Dataframe.join and requires a string column name)
upvoted 1 times
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deadbeef38
12 months ago
I don't see any error in the code other than a typo
upvoted 1 times
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SaiPavan10
1 year, 2 months ago
Selected Answer: A
since the default join is inner so key column should be "StoreId"
upvoted 2 times
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Sowwy1
1 year, 2 months ago
A is correct
upvoted 2 times
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saryu
1 year, 4 months ago
A is right
upvoted 1 times
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newusername
1 year, 7 months ago
The answer (C) is just the most wrong that could have been here
upvoted 2 times
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cookiemonster42
1 year, 10 months ago
I think the question is corrupt. The most plausible answer is A, even though the column name is already presented as a string.
upvoted 1 times
newusername
1 year, 7 months ago
yup, 100% is smth wrong, cause storesDF.join(employeesDF, Seq("storeId")) will work
upvoted 2 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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