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PySpark quiz

Test your PySpark knowledge with a free interactive quiz — 22 questions with answers and explanations. No signup needed to play.

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What is a "broadcast variable" in PySpark?

In this round
  1. What is a "broadcast variable" in PySpark?
  2. How do you submit a PySpark application to run on a cluster?
  3. What is Py4J's role in PySpark's architecture?
  4. How do you cache a DataFrame in memory to avoid recomputing it across multiple actions?
  5. What is a `SparkContext` (or `SparkSession` in modern PySpark)?
  6. What does `df.repartition(n)` do?
  7. What is the difference between a "transformation" and an "action" in PySpark's RDD/DataFrame model?
  8. What does `df.filter(condition)` (or the equivalent `df.where(condition)`) do?
  9. What is the relationship between PySpark's DataFrame API and Spark SQL?
  10. How do you start an interactive PySpark shell?
  11. What is an "accumulator" in PySpark?
  12. What does `rdd.collect()` do, and why should it be used carefully on large datasets?
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PySpark notes

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