Scenario based Apache Spark Interview Questions

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Question 1: What are ‘partitions’?

A partition is a super-small part of a bigger chunk of data. Partitions are based on logic – they are used in Spark to manage data so that the minimum network encumbrance would be achieved.

You could also add that the process of partitioning is used to derive the before-mentioned small pieces of data from larger chunks, thus optimizing the network to run at the highest speed possible.

Question 2: What is Spark Streaming used for?

You should come to your interview prepared to receive a few Spark interview questions since it is quite a popular feature of Spark itself.

Spark Streaming is responsible for scalable and uninterruptable data streaming processes. It is an extension of the main Spark program and is commonly used by Big Data developers and programmers alike.

Question 3: Is it normal to run all of your processes on a localized node?

No, it is not. This is one of the most common mistakes that Spark developers make – especially when they’re just starting. You should always try to distribute your data flow – this will both hasten the process and make it more fluid.

Question 4: What is ‘SparkCore’ used for?

One of the essential and simple Spark interview questions. SparkCore is the main engine responsible for all of the processes happening within Spark. Keeping that in mind, you probably won’t be surprised to know that it has a bunch of duties – monitoring, memory and storage management, task scheduling, just to name a few.

Question 5: Does the File System API have a usage in Spark?

Indeed, it does. This particular API allows Spark to read and compose the data from various storage areas (devices).

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