Databricks Certified Associate Developer for Apache Spark
Get started today
Ultimate access to all questions.
Comments
Loading comments...
Ultimate access to all questions.
Which of the following code blocks splits the storeCategory column from DataFrame storesDF at the underscore character into two new columns named storeValueCategory and storeSizeCategory?
A sample of DataFrame storesDF is displayed below:
//IMG//
A
(storesDF.withColumn("storeValueCategory", split(col("storeCategory"), "")[1]) .withColumn("storeSizeCategory", split(col("storeCategory"), "")[2]))
B
(storesDF.withColumn("storeValueCategory", col("storeCategory").split("")[0]) .withColumn("storeSizeCategory", col("storeCategory").split("")[1]))
C
(storesDF.withColumn("storeValueCategory", split(col("storeCategory"), "")[0]) .withColumn("storeSizeCategory", split(col("storeCategory"), "")[1]))
D
(storesDF.withColumn("storeValueCategory", split("storeCategory", "")[0]) .withColumn("storeSizeCategory", split("storeCategory", "")[1]))
E
(storesDF.withColumn("storeValueCategory", col("storeCategory").split("")[1]) .withColumn("storeSizeCategory", col("storeCategory").split("")[2]))