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NEW QUESTION: 1
How many bits are there in the VLAN ID in the VLAN format defined by IEEE802.1Q?
A. 0
B. 1
C. 2
D. 3
Answer: C
NEW QUESTION: 2
In the Huawei desktop cloud, 50 desktops need to be distributed in full replication. Each desktop virtual machine system disk is 20G, and the memory is 2G. Regardless of storage utilization, what is the storage capacity planned for these virtual desktops at least?
A. 1150G
B. 1000G
C. 1100G
D. 1200G
Answer: A
NEW QUESTION: 3
Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write access to hundreds of terabytes of data?
A. Hue
B. Oozie
C. HBase
D. Sqoop
E. Pig
F. Flume
G. Hive
Answer: C
Explanation:
Use Apache HBase when you need random, realtime read/write access to
your Big Data.
Note: This project's goal is the hosting of very large tables -- billions of rows X millions of
columns -- atop clusters of commodity hardware. Apache HBase is an open-source,
distributed, versioned, column-oriented store modeled after Google's Bigtable: A
Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages
the distributed data storage provided by the Google File System, Apache HBase provides
Bigtable-like capabilities on top of Hadoop and HDFS.
Features
Linear and modular scalability.
Strictly consistent reads and writes.
Automatic and configurable sharding of tables
Automatic failover support between RegionServers.
Convenient base classes for backing Hadoop MapReduce jobs with Apache HBase tables.
Easy to use Java API for client access.
Block cache and Bloom Filters for real-time queries.
Query predicate push down via server side Filters
Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data
encoding options
Extensible jruby-based (JIRB) shell Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX
Reference: http://hbase.apache.org/ (when would I use HBase? First sentence)