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Exam Certified Machine Learning Associate All Questions

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Exam Certified Machine Learning Associate topic 1 question 54 discussion

Actual exam question from Databricks's Certified Machine Learning Associate
Question #: 54
Topic #: 1
[All Certified Machine Learning Associate Questions]

A data scientist has a Spark DataFrame spark_df. They want to create a new Spark DataFrame that contains only the rows from spark_df where the value in column discount is less than or equal 0.
Which of the following code blocks will accomplish this task?

  • A. spark_df.loc[:,spark_df["discount"] <= 0]
  • B. spark_df[spark_df["discount"] <= 0]
  • C. spark_df.filter (col("discount") <= 0)
  • D. spark_df.loc(spark_df["discount"] <= 0, :]
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Suggested Answer: C 🗳️
by [deleted] at June 1, 2024, 11:56 a.m.

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ricorosol
3 months ago
C., In PySpark, the typical way to filter rows in a DataFrame is by using the filter method (or its alias, where), combined with a column expression.
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[Removed]
7 months ago
Selected Answer: B
This is a duplicate question but both option B and C will give the same result.
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