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NEW QUESTION: 1
Snowball 로그는 어떻게 저장됩니까?
A. 일반 텍스트 파일
B. SQLite 테이블에 있음
C. XML 파일에서
D. JSON 파일에서
Answer: A
Explanation:
설명:
데이터 센터와 Snowball간에 데이터를 전송하면 Snowball 클라이언트가 일반 텍스트 로그를 생성하여 워크 스테이션에 저장합니다.
참조 : http://docs.aws.amazon.com/snowball/latest/ug/using-client.html

NEW QUESTION: 2

A. Option B
B. Option C
C. Option A
D. Option E
E. Option D
Answer: B,E
Explanation:
References: https://technet.microsoft.com/EN-US/librarv/mt634322(v=exchg.160).aspx

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