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Exam Certified Associate Developer for Apache Spark topic 1 question 123 discussion

Actual exam question from Databricks's Certified Associate Developer for Apache Spark
Question #: 123
Topic #: 1
[All Certified Associate Developer for Apache Spark Questions]

Which of the following code blocks returns a new DataFrame with a new column customerSatisfactionAbs that is the absolute value of column customerSatisfaction in DataFrame storesDF? Note that column customerSatisfactionAbs is not in the original DataFrame storesDF.

  • A. storesDF.withColumn(“customerSatisfactionAbs”, abs(col(“customerSatisfaction”)))
  • B. storesDF.withColumnRenamed(“customerSatisfactionAbs”, abs(col(“customerSatisfaction”)))
  • C. storesDF.withColumn(col(“customerSatisfactionAbs”, abs(col(“customerSatisfaction”)))
  • D. storesDF.withColumn(“customerSatisfactionAbs”, abs(col(customerSatisfaction)))
  • E. storesDF.withColumn(“customerSatisfactionAbs”, abs(“customerSatisfaction”))
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Suggested Answer: A 🗳️
by cookiemonster42 at Aug. 2, 2023, 10:22 p.m.

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Sowwy1
7 months, 3 weeks ago
A is correct
upvoted 1 times
...
cookiemonster42
1 year, 3 months ago
it works for A and E: pyspark.sql.functions.abs(col: ColumnOrName) → pyspark.sql.column.Column[source] Computes the absolute value. New in version 1.3.0. Changed in version 3.4.0: Supports Spark Connect. Parameters colColumn or str target column to compute on.
upvoted 4 times
...

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