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Interview Questions

Real questions from top companies in Spark/Big Data · easy

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1

How do you compare the time investment and value of a task?

Spark/Big Dataeasy
2

How do you handle bad data in Databricks?

Spark/Big Dataeasy
3

How do you handle failures in Airflow tasks, and what retry strategies can you use?

Spark/Big Dataeasy
4

How do you handle schema evolution in Spark, especially when reading data from sources like Parquet or Avro?

Spark/Big Dataeasy
5

How do you prioritize your tasks in a multi-project environment?

Spark/Big Dataeasy
6

Sqoop Incremental Import?

Spark/Big Dataeasy
7

Sqoop command for importing multiple tables

Spark/Big Dataeasy
8

Suppose you have a DAG that ingests data from multiple databases. How would you increase task parallelism in Airflow to improve performance without overloading the system?

Spark/Big Dataeasy

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