Top 70+ Apache Spark Interview Questions and Answers PDF

Download the top 70+ Apache Spark interview questions and answers in PDF format, designed for both beginners and experienced candidates. This comprehensive guide allows you to study effectively and can also be accessed online for free through the provided link. Below are some examples of popular Apache Spark interview questions and answers:

Essential Apache Spark Interview Questions

Q. Explain the key features of Spark.

• Apache Spark seamlessly integrates with Hadoop, making it a flexible solution for big data.
• It provides an interactive language shell, with Scala being the primary language it is built on.
• Spark utilizes RDDs (Resilient Distributed Datasets), which can be cached across the various computing nodes in a cluster for improved performance.
• Apache Spark supports multiple analytic tools, which are used for interactive query analysis, real-time analysis, and graph processing.

Q. Define RDD.

RDD stands for Resilient Distributed Datasets. It is a fault-tolerant collection of elements that can be processed in parallel. The data in an RDD is distributed and immutable, meaning it does not change. There are mainly two types of RDDs:

• Parallelized collections: These are existing RDDs that are processed in parallel with each other.
• Hadoop datasets: These involve performing functions on each file record stored in HDFS or another storage system.

Q. What does a Spark Engine do?

The Spark engine is crucial for scheduling, distributing, and monitoring data applications across the cluster, ensuring efficient processing of data.

For more detailed insights and additional questions, don’t forget to download the complete PDF to prepare yourself thoroughly for your interview!