Cloudera HBase Certification Questions and Answers (Dumps and Practice Questions)

Question : Select the correct statement for the WAL


1. Disable the write-ahead log for faster writes
2. If a server crashes, edits will be lost in case of WAL is disabled
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4. All of the above



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Disable the write-ahead log for faster writes
- put.setWriteToWAL(boolean)
- If a server crashes, edits will be lost
- Useful for bulk loads







Question :Scan operation is used to scan all the rows in a table


1. True
2. False



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Question :What is HBASE?

1. Hbase is separate set of the Java API for Hadoop cluster
2. Hbase is a part of the Apache Hadoop project that provides interface for scanning large amount of data using Hadoop infrastructure
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4. HBase is a part of the Apache Hadoop project that provides a SQL like interface for data processing.


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Explanation: Hbase is one of the Hadoop framework projects that allow real time data scans across big data volumes. This is very often used to serve data from a cluster

Related Questions

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Question : What is true about HLog..




1. One HLog instance per RegionServer
2. Stored in HDFS in /hbase/.logs with subdirectories per region
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4. Both 1 and 2 are wrong



Question : In case of RegionServer update (Puts and Deletes)..

1. Added to WAL (write ahead log) before written to MemCache
2. It Ensures Durable writes
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4. Both 1 and 2 are wrong


Question :

In case of RegionServer Crach


1. Recent changes would still be in MemStore
2. HLog is used to reapply the recent changes
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4. All 1,2 and 3 are correct
5. Only 1 and 2 are correct


Question : In case of RegionServer crash..

1. Master splits the Hlog into a per-region log
2. Reassigns Regions to another RegionServer
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4. All 1,2 and 3 are correct
5. All 1,2 and 3 are wrong



Question :

Which of the following are the file types in HBase

1. HLog
2. HFile
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4. Only 1,2 are correct
5. Only 1 and 3 are correct





Question :

Select the correct statement for the RegionServer files


1. Files are handled by the HRegionServer
2. Files are divided up into smaller blocks when stored in HDFS
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4. 1 and 2 are correct
5. All 1 , 2 and 3 are correct