Apache Spark interview preparation tests

Apache Spark, Spark Streaming, Distributed Computations, PySpark

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Description

Apache Spark is a framework for distributed data processing. It has become popular across the globe due to its power functionality and ease of use. Demand for Spark developers is growing constantly, thus it is difficult to find good Spark developer. As a hiring technical specialist, I know what are requirements to Spark developers and want to help candidates to prepare.


These test samples cover most important Spark topics. It will be useful to refresh your knowledge before job interview, but you can also use it for preparation for certifications. Also, good idea is to explore some questions in detail if you don't know answer. Author recommends using official documentation and definitive guides. Some links to source will be given in answers section.


The questions have different formats: multiple choice, multiple select, true/false. Typically, you do not need to know any specific programming languages, but it would be good to know at least one supported by Spark, especially Python. Also, it is good to have some knowledge about related technologies: databases, Hadoop, clouds, machine learning, streaming, but it will be not many and not deep questions about side technologies (just for general understanding).


The course is split into three tests, total more than 250 questions, covering different topics:

-Comparison and connection to other instruments

-Architecture

-Spark objects and APIs

-Internal realization

-Configuration

-User interface

-Best practices

-Problem solving

-Practical tasks

And other topics.


Good luck and best for your career!

What You Will Learn!

  • Prepare for job interviews for Spark Developers positions
  • Estimate knowledge of Spark internals
  • Discover new Spark concepts and strategies
  • Compare Spark with other tools

Who Should Attend!

  • Data engineers, data analysts
  • People who are interested in Big Data, data processing and distributed systems