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DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK · Question #109

DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK Question #109: Real Exam Question with Answer & Explanation

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Manipulate and clean data using Spark DataFrames

Question

The code block shown below should return a new DataFrame where rows in DataFrame storesDF with missing values in every column have been dropped. Choose the response that correctly fills in the numbered blanks within the code block to complete this task. Code block: storesDF.__1__.2__(3__ = __4__)

Options

  • A1. na
  • B1. na
  • C1. na
  • D1. na
  • E1. drop

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Topics

#PySpark DataFrames#Missing Data Handling#Data Cleaning#DataFrameNaFunctions
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