Hadoop interview questions part 34
Hadoop interview questions part 34
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Total Questions: 20
1. Which of the following is not a table scope operator ?
Correct Answer is : MEMSTORE_FLUSH
2. You can delete a column family from a table using the method _________ of HBAseAdmin class.
Correct Answer is : deleteColumn()
3. Point out the wrong statement :
Correct Answer is : None of the mentioned
4. __________ class adds HBase configuration files to its object.
Correct Answer is : Configuration
5. The ________ class provides the getValue() method to read the values from its instance.
Correct Answer is : Result
6. ________ communicate with the client and handle data-related operations.
Correct Answer is : Region Server
7. _________ is the main configuration file of HBase.
Correct Answer is : hbase-site.xml
8. HBase uses the _______ File System to store its data.
Correct Answer is : Hadoop
9. The Mapper implementation processes one line at a time via _________ method.
Correct Answer is : map
10. Point out the correct statement :
Correct Answer is : None of the mentioned
11. The Hadoop MapReduce framework spawns one map task for each __________ generated by the InputFormat for the job.
Correct Answer is : InputSplit
12. Users can control which keys (and hence records) go to which Reducer by implementing a custom :
Correct Answer is : Partitioner
13. Point out the wrong statement :
Correct Answer is : None of the mentioned
14. Applications can use the ____________ to report progress and set application-level status messages
Correct Answer is : Reporter
15. The right level of parallelism for maps seems to be around _________ maps per-node
Correct Answer is : 10-100
16. The number of reduces for the job is set by the user via :
Correct Answer is : JobConf.setNumReduceTasks(int)
17. The framework groups Reducer inputs by key in _________ stage.
Correct Answer is : sort
18. The output of the reduce task is typically written to the FileSystem via _____________
Correct Answer is : OutputCollector.collect
19. Which of the following is the default Partitioner for Mapreduce ?
Correct Answer is : HashPartitioner
20. Point out the correct statement :
Correct Answer is : With 0.95 all of the reduces can launch immediately and start transferring map outputs as the maps finish
