iMocha’s Hadoop assessment test enables recruiters and hiring managers to hire job-fit candidate within a short period and take unbiased decision. This test is useful for hiring Hadoop Developer, Big Data Hadoop Developer, Hadoop Application Developer, Hadoop specialist, and Hadoop analyst. Our test has helped our customers to reduce technical screening time by 80%.
Hadoop is an open-source scalable framework (sponsored by Apache Software Foundation) that allows distributed processing of large data sets across clusters of computers using the set of programming modules like Hadoop Common, HDFS, YARN, MapReduce. Hadoop library is designed to detect and handle failures at the application layer.
Hadoop online test helps recruiters and hiring managers to assess skills like Hadoop programming, ability to work with data replication in HDFS, resource manager, etc. iMocha’s Hadoop assessment test is created and validated by experienced subject matter experts (SMEs) to assess and hire Hadoop developers as per industry standards.
Hadoop pre-employment test will evaluate a candidate’s practical knowledge and will identify whether the candidate is ready to be employed. Hadoop online test can be taken by the candidates from anywhere at the comfort of their time zone.
Hadoop skill assessment test helps you to screen the candidates who possess traits as follows:
iMocha's Hadoop developer online test has a unique set of questions. You can also create or ask us to create a customized test that includes questions which are specific to your job requirement.
Our powerful reporting helps you to analyze section wise performance of candidate to gauge his strengths and weaknesses. Moreover, you can always use our candidate ranking tool to screen the best performing candidate amongst others.
Hadoop skill test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio/Video Questions, AI-LogicBox, Coding Simulations, True or False Questions, etc.
You plan to use a combiner to reduce the amount of data sent to the Reducer. Your output from the Mapper is <IntWritable, Text>. Which of the following should you subclass for using the combiner?