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DP-700 · Question #100

DP-700 Question #100: Real Exam Question with Answer & Explanation

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Design and implement data ingestion and transformation

Question

You have a table in a Fabric lakehouse that contains the following data: | SalesOrderNumber | OrderDate | CustomerName | Email | |------------------|------------|----------------|----------------------------| | SO49172 | 2021-01-01 | Brian Howard | [email protected] | | SO49173 | 2021-01-01 | Linda Alvarez | [email protected] | | SO49174 | 2021-01-01 | Gina Hernandez | [email protected] | | SO49178 | 2021-01-01 | Beth Ruiz | [email protected] | | SO49179 | 2021-01-01 | Evan Ward | [email protected] | You have a notebook that contains the following code segment: ```python 01 df = df.withColumn('CustomerName', when(col('CustomerName').isNull() | (col('CustomerName')==''), lit('Unknown')).otherwise(col('CustomerName'))) 02 df = df.withColumn('Username', split(col('Email'), '@').getItem(0)) 03 df = df.dropDuplicates(['OrderDate']).selectExpr('*', "year(OrderDate') as Year", "('CustomerName') as Username") 04 display(df.head(10)) ``` For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Statements: 1. Line 01 will replace all the null and empty values in the CustomerName column with the Unknown value. 2. Line 02 will extract the value before the @ character and generate a new column named Username. 3. Line 03 will extract the year value from the OrderDate column and keep only the first occurrence for each year.

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Topics

#PySpark#DataFrame Operations#Data Cleaning#Data Transformation
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