HBase DATA-SCIENCE-OPTIMIZE Practice Questions (Page 1)

Questions 1–5

1. 1application · easy

   A developer needs to update the 'status' column for a user with row key 'user123' in the 'users' table. The column is in the 'info' column family. Which HBase shell command performs this update?

   • Aupdate 'users', 'user123', 'info:status', 'active'
   • Binsert 'users', 'user123', 'info:status', 'active'
   • Cput 'users', 'user123', 'info:status', 'active'
   • Dset 'users', 'user123', 'info:status', 'active'
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2. 2expert · hard

   An HBase cluster is experiencing high write latency. The team suspects that the Write-Ahead Log (WAL) is a bottleneck. They are considering disabling the WAL for a non-critical table that can tolerate some data loss. What is the most important trade-off to consider?

   • ADisabling the WAL requires restarting the entire cluster
   • BDisabling the WAL reduces read latency but increases memory usage
   • CDisabling the WAL eliminates the need for MemStore flushes
   • DDisabling the WAL improves write performance but risks data loss on RegionServer failure
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4. 3foundation · easy

   How can HBase be integrated with MapReduce for data processing?

   • ABy using HBase as the input and output source for MapReduce jobs via the TableInputFormat and TableOutputFormat.
   • BBy running MapReduce jobs inside HBase RegionServers.
   • CBy using HBase shell commands to invoke MapReduce jobs.
   • DBy converting HBase tables to HDFS files before running MapReduce jobs.
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5. 4application · medium

   An HBase administrator is troubleshooting slow read performance. The team notices that the BlockCache hit ratio is low. Which action is most likely to improve read performance?

   • ADecrease the MemStore flush size
   • BIncrease the BlockCache size
   • CIncrease the number of ZooKeeper nodes
   • DDisable the WAL
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6. 5foundation · easy

   Which statement correctly describes HBase's role in the Hadoop ecosystem?

   • AA SQL query engine that provides interactive analytics on data stored in HDFS.
   • BA batch processing framework that runs MapReduce jobs over data stored in HDFS.
   • CA distributed, column-oriented NoSQL database that provides real-time random read/write access to large datasets.
   • DA distributed file system that stores data across commodity servers in a Hadoop cluster.
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