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NEW QUESTION: 1
What are the AP8130DN advantages?
A. Support dual-three spatial streams, the more spatial streams, the more wireless performance advantages
B. The AP8130DN supports dual 5G, wireless coverage, and a single 5G radio for more users.
C. Support built-in lightning protection, outdoor harsh environment, eliminating the need to purchase external lightning arresters, saving costs, simplifying installation and deployment, and shortening lead times
D. Do wireless backhaul, use dual 5G, you can achieve high-speed 5G backhaul with only one AP, guarantee backhaul bandwidth and save deployment cost.
Answer: A,B,C,D

NEW QUESTION: 2
Which of the following protocol's traffic is captured by using the filter tcp.port==3389 in the Wireshark tool?
A. Session Initiation Protocol (SIP)
B. Reverse Gossip Transport Protocol (RGTP)
C. Real-time Transport Protocol (RTP)
D. Remote Desktop Protocol (RDP)
Answer: D
Explanation:
Explanation/Reference:
Reference: http://wiki.wireshark.org/RDP

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. Pig
B. Hive
C. Flume
D. Oozie
E. HBase
F. Sqoop
G. Hue
Answer: E
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)