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Big Data: Hadoop HDFS and Map Reduce
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Big Data: Hadoop HDFS and Map Reduce
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23 Questions

1. Which of the following scenario may not be a good fit for HDFS?
2. Point out the correct statement.
3. Point out the correct statement.
4. Point out the wrong statement.
5. _________ function is responsible for consolidating the results produced by each of the Map() functions/tasks.
6. Although the Hadoop framework is implemented in Java, MapReduce applications need not be written in ____________
7. _________ is the default Partitioner for partitioning key space.
8. A ________ serves as the master and there is only one NameNode per cluster.
9. HDFS works in a __________ fashion.
10. Running a ___________ program involves running mapping tasks on many or all of the nodes in our cluster.
11. During start up, the ___________ loads the file system state from the fsimage and the edits log file.
12. ___________ part of the MapReduce is responsible for processing one or more chunks of data and producing the output results.
13. HDFS is implemented in _____________ programming language.
14. For ________ the HBase Master UI provides information about the HBase Master uptime.
15. During start up, the ___________ loads the file system state from the fsimage and the edits log file.
16. For YARN, the ___________ Manager UI provides host and port information.
17. ________ NameNode is used when the Primary NameNode goes down.
18. HDFS provides a command line interface called __________ used to interact with HDFS.
19. ________ is a utility which allows users to create and run jobs with any executables as the mapper and/or the reducer.
20. __________ maps input key/value pairs to a set of intermediate key/value pairs.
21. Point out the wrong statement.
22. ________ is the slave/worker node and holds the user data in the form of Data Blocks.
23. The number of maps is usually driven by the total size of ____________

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