Explanation:
Correct Answer: B
spark.createDataset(years) takes a local collection and turns it into a Dataset[Int]. Appending .toDF() converts that Dataset into a DataFrame (equivalent to Dataset[Row]). This is the standard pipeline for converting local Scala data into a Spark DataFrame.spark.createDataFrame typically requires a List of Rows and a defined Schema. It cannot directly convert a List[Int] without additional boilerplate code.years is already a list, List(years) creates a nested list. Spark would interpret this as a single record containing an array, rather than multiple records (rows) of integers.Ultimate access to all questions.
Create a single-column DataFrame from a Scala list of integers named years by correctly filling in the numbered blanks in the following code block:
Code block:
1.2(3).4
A
1.spark 2. createDataFrame 3. years 4. toDF
B
1.spark 2. createDataset 3. years 4. toDF()
C
1.spark 2. createDataset 3. List(years) 4. toDF()
D
1.spark 2. createDataFrame 3. years 4. IntegerType