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Exam Certified Associate Developer for Apache Spark All Questions

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Exam Certified Associate Developer for Apache Spark topic 1 question 115 discussion

Actual exam question from Databricks's Certified Associate Developer for Apache Spark
Question #: 115
Topic #: 1
[All Certified Associate Developer for Apache Spark Questions]

Which of the following code blocks returns a DataFrame containing only the rows from DataFrame storesDF where the value in column sqft is less than or equal to 25,000 AND the value in column customerSatisfaction is greater than or equal to 30?

  • A. storesDF.filter(col("sqft") <= 25000 and col("customerSatisfaction") >= 30)
  • B. storesDF.filter(col("sqft") <= 25000 or col("customerSatisfaction") >= 30)
  • C. storesDF.filter(sqft) <= 25000 and customerSatisfaction >= 30)
  • D. storesDF.filter(col("sqft") <= 25000 & col("customerSatisfaction") >= 30)
  • E. storesDF.filter(sqft <= 25000) & customerSatisfaction >= 30)
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️
by MSH_6 at Aug. 7, 2023, 9:45 p.m.

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Jgo1986
2 months, 3 weeks ago
The most similar is D, And and OR are not valid statements for filtering in pySpark
upvoted 1 times
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gaco
3 months ago
in pyspark, all wrong as the conditions inside the filter should be wrapped inside parentesis. should be: D. storesDF.filter((col("sqft") <= 25000) & (col("customerSatisfaction") >= 30))
upvoted 3 times
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65bd33e
3 months, 1 week ago
Selected Answer: D
D is the answer
upvoted 1 times
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deadbeef38
5 months ago
Selected Answer: A
A is right
upvoted 1 times
Jgo1986
2 months, 3 weeks ago
no its not, ...
upvoted 1 times
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Sowwy1
7 months, 3 weeks ago
It's D: https://sparkbyexamples.com/spark/spark-and-or-not-operators/ PySpark Logical operations use the bitwise operators: & for and | for or ~ for not
upvoted 2 times
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sionita
1 year ago
The answer should be E. In case of multiple conditions spark requires () such as: df.filter( (cond1) & (cond2) )
upvoted 1 times
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MSH_6
1 year, 3 months ago
Selected Answer: A
A is the right answer.
upvoted 1 times
newusername
1 year ago
No, you do not use and but & in Pyspark D is correct
upvoted 2 times
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...

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