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The code block shown below should return a one-column DataFrame where the column storeId is converted to string type. Choose the answer that correctly fills the blanks in the code block to accomplish this. transactionsDf.__1__(__2__.__3__(__4__))
Correct Answer: D
Explanation Correct code block: transactionsDf.select(col("storeId").cast(StringType())) Solving this question involves understanding that, when using types from the pyspark.sql.types such as StringType, these types need to be instantiated when using them in Spark, or, in simple words, they need to be followed by parentheses like so: StringType(). You could also use .cast("string") instead, but that option is not given here. More info: pyspark.sql.Column.cast - PySpark 3.1.2 documentation Static notebook | Dynamic notebook: See test 2