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”))

Show Suggested Answer

Suggested Answer: A 🗳️

by cookiemonster42 at Aug. 2, 2023, 10:22 p.m.

Comments

Submit Cancel

Sowwy1

9 months ago

A is correct

upvoted 1 times

...

cookiemonster42

1 year, 5 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

...