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DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK · Question #54
DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK Question #54: Real Exam Question with Answer & Explanation
The correct answer is E: storesDF.na.fill(30000, "sqft"). See the full explanation below for the reasoning.
Handling Missing Data in Spark DataFrames
Question
Which of the following code blocks returns a new DataFrame where column sqft from DataFrame storesDF has had its missing values replaced with the value 30,000? A sample of DataFrame storesDF is below:
Options
- AstoresDF.na.fill(30000, Seq("sqft"))
- BstoresDF.nafill(30000, col("sqft"))
- CstoresDF.na.fill(30000, col("sqft"))
- DstoresDF.fillna(30000, col("sqft"))
- EstoresDF.na.fill(30000, "sqft")
Topics
#Spark DataFrame API#Missing Values#Data Cleaning#na.fill
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