Big Data Developer Test

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Big Data developer test helps tech recruiters evaluate Big Data programming skills of candidates before the interview. With our innovative AI-LogicBox (AI-based Pseudo-Coding) questions accelerate technical screening and hire developers in quickly and conveniently.  

About Big Data Developer Test

A Big Data developer serves the Big Data needs of an organization while focusing on Hadoop solution lifecycle, including platform selection, designing technical architecture, requirement analysis, application development and design, testing, and deployment.  

Big Data developer test is designed and validated by experienced Subject Matter Experts (SME) to assess and hire Big Data developer as per the industry standard. 

Are you a jobseeker looking to sharpen your skills?

Test Summary

Big Data Developer test helps to screen the candidates who possess traits as follows: 
  • Strong knowledge and understanding of bigdata  
  • Clear vision of understanding Hadoop and Hive
  • Good Understanding of Apache spark
  • Hand-on experience on Window functions
Big Data skill test may contain MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc.

Test Duration: 55 minutes

No. of Questions: 7

Level of Expertise: Intermediate

Useful for hiring

  • Big Data Expert
  • Database Management System Expert
  • Big Data Consultant

Topics Covered

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This assessment helps recruiters to assess candidate's knowledge of information processing in big data to massive, complex data sets that are rapidly generated and transmitted from a wide variety of sources.

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This test aids the recruiters in evaluating candidates ability to use Hadoop for storing data and running applications on clusters of commodity hardware.

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This test lets you check the candidates understanding of a data warehouse software that facilitates reading, writing, and managing large datasets residing in distributed storage using SQL.

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Apache spark

Big data developer assessment helps you to quantify candidates ability to use Apache Spark for executing data engineering, data science, and machine learning on single-node machines or clusters.

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Window Functions

This skills assessment help you find out candidate’s awareness about an SQL function where the input values are taken from a "window" of one or more rows in the results set of a SELECT statement.

Sample Questions

Choose from our 100,000+ question library or add your own questions to make powerful custom tests

Question types:



Mathematical Calculations: Weights



Q 1. Rob is an astronaut. He is sent to Mars. Rob is tasked to bring back stones exclusively present on Mars. 

- Rob has a bag that can hold a weight of M units.
- There are M stones labeled 1 to M on mars. Stone 1 weighs 1 unit, stone 2 weighs 2 and so on.
- There are N stones which are available on Mars and Earth both. 

Find the maximum number of stones Rob can bring from Mars, such that none of them is available on earth.

  • Rob cannot bag the same rock more than once.

Input Format
Input1: M, denoting the size of the bag and the number of different stones present on Mars.
Input2: N, denoting the number of common stones on Earth and Mars.
Input3[ ]: An N element array containing the list of the weights of the common stones.
Output Format
Your function should return the maximum unique stones that can be collected.

Sample Input
1  3  5

Sample Output

There are 10 stones on mars i.e. 1, 2, …., 10 which weigh 1, 2, ….., 10 respectively.
Of which 3 Stones (1, 3 and 5) are available on Earth.
So the maximum unique stones Rob can bring from Mars is 2, such that the Maximum Size of Bag doesn’t exceed.
(2, 4) (2, 6) (2, 7) (2, 8) (4, 6) and so max. 2


Sample Report

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Skill wise performance report by iMocha

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Trusted By

Rehana Nisar, Global Product & Services Recruitment Head, Gartner
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“We realized that to acquire quality talent, our recruitment process was in dire need of automation. Too many of our technical team were simply wasting hours conducting interviews that did not yield the desired results. For us, the foremost criteria was to find a recruitment partner who could tick all the right boxes.”

Rehana Nisar, Global Product & Services Recruitment Head,


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