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Exam Certified Associate Developer for Apache Spark topic 1 question 180 discussion

Actual exam question from Databricks's Certified Associate Developer for Apache Spark
Question #: 180
Topic #: 1
[All Certified Associate Developer for Apache Spark Questions]

Which of the following code blocks returns a DataFrame where rows in DataFrame storesDF containing missing values in every column have been dropped?

  • A. storesDF.na.drop()
  • B. storesDF.dropna()
  • C. storesDF.na.drop("all", subset = "sqft")
  • D. storesDF.na.drop("all")
  • E. storesDF.nadrop("all")
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Suggested Answer: D 🗳️
by jtu363 at May 15, 2024, 3:36 a.m.

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Souvik_79
1 week, 4 days ago
Selected Answer: D
The correct answer is: D. storesDF.na.drop("all") Explanation: na.drop() is used to drop rows with missing values in a DataFrame. The "all" argument specifies that rows will only be dropped if all columns in that row contain missing values. If "all" is not specified, the default behavior is "any", which means rows with missing values in any column will be dropped.
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jtu363
2 months, 3 weeks ago
Selected Answer: D
https://spark.apache.org/docs/3.1.2/api/python/reference/api/pyspark.sql.DataFrame.dropna.html
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