Data Engineer Interview Questions
Pyspark
•
78 questions available
Statistics
Total
78
Easy
22
Medium
21
Hard
35
medium
17
Question: How can you use PySpark to read a Delta Table, perform transformations, and write back to another Delta Table?
Delta Table
easy
20
Question: What are RDDs, and how are they different from DataFrames and Datasets?
RDD
Fundamentals
medium
8
Question: How does Spark achieve fault tolerance?
Fundamentals
hard
10
Question: Describe your strategy for enhancing the performance of Spark applications.
Performance Optimization
easy
4
Question: What is a Spark job, and what are stages and tasks within it?
Fundamentals
RDD
medium
6
Question: What are the responsibilities of the Spark driver and executors in the Spark architecture?
Fundamentals