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List the configuration parameters that have to be specified when running a MapReduce job.
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Explain what does the conf.setmapper class do?
Explain about the basic parameters of mapper and reducer function
In MapReduce, ideally how many mappers should be configured on a slave?
What is partitioner and its usage?
What is reduce side join in mapreduce?
What is the relationship between Job and Task in Hadoop?
How can you add the arbitrary key-value pairs in your mapper?
What are the disservices of utilizing Apache Spark over Hadoop MapReduce?
What is the next step after Mapper or MapTask?
How would you tackle calculating the number of unique visitors for each hour by mining a huge apache log? You can use post processing on the output of the mapreduce job.
For a Hadoop job, how will you write a custom partitioner?
What is the difference between a MapReduce InputSplit and HDFS block?
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