Top 10 PySpark Interview Questions
Top 10 PySpark interview questions.
Are you preparing for your next PySpark interview? Make sure you're ready by mastering these top 10 interview questions.
1. What is PySpark, and how does it relate to Apache Spark?
2. Explain the difference between RDDs, DataFrames, and Datasets in PySpark.
3. What are shared variables in Spark? Explain about Broadcast Join and Accumulator.
4. Spark does lazy evaluation. Is it good or bad?
5. How can you read data from different file formats using PySpark?
6. Explain the difference between coalesce and repartition.
7. What are transformations and actions in PySpark? Provide examples of each.
8. How do you handle missing or null values in PySpark DataFrames?
9. What is Directed Acyclic Graph in Spark? Explain its significance.
10. What is the difference between cache and persist in PySpark?