Here are some common interview questions that may be asked when interviewing for a role related to Apache Spark:
- What is Apache Spark and how does it differ from Hadoop?
- What are the key components of the Spark ecosystem (e.g. Spark Core, Spark SQL, Spark Streaming)?
- How does Spark achieve fault tolerance and what is the role of the driver and executors in this process?
- How does Spark compare to other big data processing frameworks (e.g. MapReduce, Flink, Hive)?
- How can you optimize the performance of a Spark application?
- How do you handle data processing pipeline failures in Spark?
- How do you deploy and run a Spark application in a production environment?
- How do you integrate Spark with other systems, such as Hadoop, Kafka, or Cassandra?
- How do you use Spark for machine learning and data analysis tasks?
- How do you handle data quality and data cleansing tasks in Spark?