Interview questions · hard
Explain the projects you have worked on, focusing on challenges and solutions you implemented.
Explain your journey as a data engineer and the projects you have worked on.
Tell me about yourself and your professional background.
Adaptive Query Execution (AQE): Discuss how AQE optimizes query execution in Spark dynamically based on runtime stats.
Define what a User-Defined Function (UDF) is and how to register it in PySpark.
Discuss how you integrated Azure services into your Spark application.
Explain the architecture of Spark, including its components such as driver, executor, and cluster manager.
List all the technologies you have worked on in your project (e.g., Spark, Hadoop, Hive, Databricks).
Solve the dataset transformation using PySpark.
Solve the grade assignment problem using a UDF in PySpark.
What performance optimization techniques have you applied in Spark, Sqoop, or Databricks?
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