Apache Spark is considerably the most-demanding and popular technologies in the field of big data! 

This attracts hundreds and thousands of aspirants to come forth and build a strong career in the field of data science!

Whether you are a big data newbie or an experienced candidate rooting for a Spark interview, it is essential to know in-depth about the Spark interview. 

The questions asked in this regard can be quite tough and challenging. Moreover, Spark interview questions will be asked to judge the fundamental and advanced knowledge of all the candidates.

Hence, to help you in this regard we have prepared this blog post where you will know in-depth about the interview and how to clear it. 

Moreover, these preparation tips will also help you answer IWC interview questions and other top companies interview questions. 

About the interview 

The Apache Spark is considered as the open-source data framework which allows all the business houses to work with large sets of data. Companies these days prefer to hire the data engineers who are able to use Spark for collecting, managing and converting data into useful information.

If you too want to work with a big company as a data scientist or any other big role, it is essential to know the knits and grits about the Spark interview and to follow all the useful tips so as to prepare well for the Spark interview questions.

Tips to prepare for the Spark Interview 

Spark is considered as the data-processing framework that helps in performing specific tasks on the large data sets. Though, becoming a Spark interview professional is not as easy as it seems. 

For that you have to clear the interview and answer all the questions that will appear in front of you. To give you a strong edge in your Spark interview preparation, we have compiled certain useful tips that will be of great help to you. 

Covering all the topics 

Interviews are always uncertain and the Spark interviews are no exception! You have no idea of what type of Spark interview questions will appear in front of you. 

Therefore, it is always a wise idea to cover all the topics of a Spark interview. From learning the fundamental concepts to tools used in Spark to databases to other essential topics, you can cover all the concepts so that you would be in the position to answer all types of questions. 

Skills needed 

It can take years of hard work and experience to integrate the Apache Spark so that it will meet the business needs and requirements. 

Whenever an interviewer hire a Spark engineer for his company, he looks for the following prerequisites:

Practical knowledge of all the distributed systems 

Ability to write clean codes 

In-depth standard programming knowledge of Python, Java and Scala 

Extensive knowledge of all the new and updated technologies 

Core knowledge of basic concepts 

Logical knowledge and multiple-solution approach 

Know about the responsibilities 

When you dig deep inside the Spark field, it becomes essential to know about all the responsibilities of a spark engineer as it will help you prepare for the interview in a better way. 

His day to day responsibilities involve:

Helping in development of analytics code or components in Java, Storm, Apache Spark or other related technologies

Designing the code or unit testing 

Gathering all the requirements and better analysing all the tasks that needed to be done

Working collaboratively with the global teams 

Providing all the technical, analytical and resolving other challenge 

Reviewing and testing the codes to ensure it match with the requirements

Use cases 

An aspiring candidate should know and work on the use cases. A spark developer would be able to train a software recognition in order to apply the apt solutions. Working with the use cases will help all Spark developers to gain experience and to stand tall among other aspirants. 

Make a plan 

It is always a good idea to make a plan before you start doing your Spark interview preparation. When you make an ideal and time based plan, you can better jot it down and organise all the topics in a way so that all the topics will be covered. 

Take help of additional resources

When it comes to the preparation of a Spark interview, you can’t just rely on one resource. It is always a good idea to take help of additional resources like youtube videos, online platforms and websites to cover all the essential topics in a better way.

When you have comprehensive knowledge of each topic, you will be in the position to answer all the questions of moderate to high level of difficulty. 

All data knowledge 

Spark engineers are known to help the companies in developing various Spark features while utilising data in an efficient manner. Therefore, it is essential for a Spark developer to know about the handling or manipulation of all types of data. 

Practise all type of questions 

It is a good idea for a Spark aspirant to practise all types of Spark interview questions. These questions will also help you answer LWC interview questions and other top giant’s interview questions in an ideal way.

Some of the most commonly asked questions in a Spark interview are:

Compare Hadoop with the Spark 

What do you know about Apache Spark? State its essential features 

What are some of the major benefits of Spark over MapReduce?

What are the languages that are being supported by Apache Spark? Which language is considered as the most popular one?

What do you know about YARN?

Is there a need to install a YARN cluster with the help of Spark?

How to create the RDDs in case of Spark?

What do you know about the executor memory and its usage?

What are the operations performed by RDD support?

Wrapping up

Take cues from this blog post to know about Spark interview and follow the tips to clear it with flying colors.