Most asked top Interview Questions and Answers & Online Test
Education platform for interview prep, online tests, tutorials, and live practice

Build skills with focused learning paths, mock tests, and interview-ready content.

WithoutBook brings subject-wise interview questions, online practice tests, tutorials, and comparison guides into one responsive learning workspace.

Prepare Interview

Mock Exams

Make Homepage

Bookmark this page

Subscribe Email Address
Home / Interview Subjects / Apache Spark
WithoutBook LIVE Mock Interviews Apache Spark Related interview subjects: 74

Interview Questions and Answers

Know the top Apache Spark interview questions and answers for freshers and experienced candidates to prepare for job interviews.

Total 24 questions Interview Questions and Answers

The Best LIVE Mock Interview - You should go through before interview

Know the top Apache Spark interview questions and answers for freshers and experienced candidates to prepare for job interviews.

Interview Questions and Answers

Search a question to view the answer.

Freshers / Beginner level questions & answers

Ques 1

What is Apache Spark?

Apache Spark is an open-source distributed computing system that provides fast and general-purpose cluster computing for big data processing and analytics.

Example:

SparkContext sc = new SparkContext("local", "SparkExample");
Save For Revision

Save For Revision

Bookmark this item, mark it difficult, or place it in a revision set.

Open My Learning Library
Is it helpful?
Add Comment View Comments
Ques 2

What is the purpose of the SparkContext in Apache Spark?

SparkContext is the entry point for Spark functionality and represents the connection to the Spark cluster. It coordinates the execution of operations on the cluster.

Example:

val sc = new SparkContext("local", "SparkExample")
Save For Revision

Save For Revision

Bookmark this item, mark it difficult, or place it in a revision set.

Open My Learning Library
Is it helpful?
Add Comment View Comments
Ques 3

Explain the role of the Spark Driver in a Spark application.

The Spark Driver is the program that runs the main() function and creates the SparkContext. It coordinates the execution of tasks on the Spark Executors and collects results from them.

Example:

object MyApp {
  def main(args: Array[String]): Unit = {
    val sc = new SparkContext("local", "MyApp")
  }
}
Save For Revision

Save For Revision

Bookmark this item, mark it difficult, or place it in a revision set.

Open My Learning Library
Is it helpful?
Add Comment View Comments
Ques 4

What is the difference between a DataFrame and an RDD in Spark?

A DataFrame is a distributed collection of data organized into named columns, similar to a relational table. An RDD (Resilient Distributed Dataset) is a low-level abstraction representing a distributed collection of objects.

Example:

val df = spark.read.json("/path/to/data.json")
Save For Revision

Save For Revision

Bookmark this item, mark it difficult, or place it in a revision set.

Open My Learning Library
Is it helpful?
Add Comment View Comments

Most helpful rated by users:

Copyright © 2026, WithoutBook.