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PySpark Skill Test

Topics covered
  • Data Exploration
  • Data Transformation
  • Merging Datasets
  • Machine Learning
  • Datasets
  • Spark Streaming
  • Test Duration: 20 minutes
  • No. of Questions: 10
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    Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

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Megan Akhras, Co-founder & director, JExcelle, Canada
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About PySpark Skill Test

PySpark is the collaboration of Apache Spark and Python technologies. Apache Spark is basically an open-source cluster-computing framework, built around speed, ease of use, and streaming analytics whereas Python is a general-purpose, high-level programming language. PySpark is Python's library to use Spark. By using PySpark, one can easily integrate and further work with RDD in python programming language too. There are numerous features that makes PySpark such an amazing framework when it comes to working with huge datasets and data exploration techniques. 
 
PySpark skill test helps recruiters & hiring managers to assess candidate’s PySpark programming skills. PySpark programming test is designed by experienced subject matter experts (SMEs) to evaluate and hire PySpark developer as per the industry standards.
 
Why use Interview Mocha’s PySpark skill test?

This PySpark skill test helps employers in many ways, including hiring a job-fit candidate within a short period, taking unbiased employee performance appraisal decisions and reduce hassle in mass recruitment. You can reduce hiring time up to 40% with PySpark programming test.
 
PySpark programmer test helps to screen the candidates who possess traits as follows:   
 

  • Excellent knowledge of Apache Spark with Python and Hadoop Ecosystems
  • Ability to develop data processing tasks using PySpark such as reading data from external sources, merge data, perform data enrichment and load into target data destinations
  • Familiarity with Hadoop distributed frameworks
  • Experience in design and architecture review

Recruiters can use intelligent & powerful Test Insights feature that will help to identify job fit candidates more accurately with score distribution & section analysis features.
 
This test is designed considering EEOC guidelines; it will help you assess & hire diverse talent without any bias.
 
This test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc.  

This PySpark Skill Test is useful for hiring
  • PySpark Developer
  • Python Developer