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NEW QUESTION: 1
회사가 웹 애플리케이션을 AWS로 옮기려고합니다. 응용 프로그램은 각 웹 서버에 세션 정보를 로컬로 저장하므로 자동 확장이 어렵습니다. 마이그레이션의 일부로 웹 서버에서 세션 데이터를 분리하기 위해 애플리케이션이 다시 작성됩니다. 이 회사는 낮은 대기 시간, 확장 성 및 가용성이 필요합니다.
가장 비용 효율적인 방법으로 세션 정보를 저장하기위한 요구 사항을 충족시키는 서비스는 무엇입니까?
A. Redis 엔진이 포함 된 Amazon ElastiCache
B. 아마존 S3
C. Memcached 엔진이 포함 된 Amazon ElastiCache
D. Amazon RDS MySQL
Answer: A
Explanation:
While Key/Value data stores are known to be extremely fast and provide sub-millisecond latency, the added network latency and added cost are the drawbacks. An added benefit of leveraging Key/Value stores is that they can also be utilized to cache any data, not just HTTP sessions, which can help boost the overall performance of your applications.
A vs D: ElastiCache offerings for In-Memory key/value stores include ElastiCache for Redis, which can support replication, and ElastiCache for Memcached which does not support replication.
https://aws.amazon.com/caching/session-management/

NEW QUESTION: 2
Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write access to hundreds of terabytes of data?
A. Oozie
B. Sqoop
C. Pig
D. Flume
E. Hue
F. HBase
G. Hive
Answer: F
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)

NEW QUESTION: 3
Which two statements describe the purpose of RFC 1918? (Choose two.)
A. Establish a range of IP addresses to address the shrinking pool of globally routable addresses.
B. Establish a range of IP addresses that are dedicated to use on internal networks.
C. Establish a range of IP addresses that are dedicated to the growing use of multicast video.
D. Establish a range of IP addresses that are dedicated to the growing use of peer-to-peer file-sharing applications.
E. Delay the transition to IPv6.
Answer: A,B
Explanation:
http://tools.ietf.org/html/rfc1918