Answer / Amit Sachan

Hadoop can be run in three primary modes: Standalone, Pseudo-Distributed, and Fully-Distributed. nnStandalone mode is for a single node setup with one namenode and one datanode running on the same machine. This mode is used mainly for testing purposes.nnPseudo-Distributed mode simulates a fully distributed Hadoop cluster by running multiple daemons (namenode, secondary namenode, resourcemanager, nodemanager, jobhistoryserver) on different virtual machines or containers on the same physical machine. This setup allows developers to test their applications in an environment similar to a production cluster.nnFully-Distributed mode is for a large-scale production Hadoop cluster with multiple physical nodes. In this mode, each node runs dedicated daemons, and data is distributed across all the datanodes.

Can you explain bloommapfile.

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What sorts of actions does the job tracker process perform?

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Which modes can Hadoop be run in? List a few features for each mode?

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What is a udf?

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Explain the difference between an inputsplit and a block?

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What is the non dfs used?

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Explain how do you overwrite replication factor?

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What are the port numbers of task tracker?

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Ideally what should be the replication factor in hadoop?

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If datanodes increase, then do we need to upgrade namenode?

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What is purpose of RecordWriter in Hadoop?

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What happens if one hadoop client renames a file or a directory containing this file while another client is still writing into it?

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