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NEW QUESTION: 1
Which of the following is TRUE of the endptEnabler command?
A. It adds a HTTP or JMS router module to an EJB-based Web service application
B. It requires an EJB Java archive (JAR) file as input
C. It creates a bottom-up Web service from a stateless session EJB
D. It generates IBM-specific deployment classes for a Web service application
Answer: A

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. HBase
D. Flume
E. Hive
F. Pig
G. Hue
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)

NEW QUESTION: 3
If a History Log field is deleted from an application, what will happen to the data stored within that History Log field?
A. All data previously stored in that field is still maintained by the database.
B. The user data stored within that field is saved, but all other data is deleted.
C. All data previously stored in that field is deleted.
D. Nothing; it is not possible to delete a History Log field once it has been populated within a single record.
Answer: C

NEW QUESTION: 4
회사에는 가능한 한 빨리 AWS로 마이그레이션 해야 하는 데이터 센터가 있습니다. 데이터 센터에는 500Mbps AWS Direct Connect 링크와 완전히 사용 가능한 별도의 1Gbps ISP 연결이 있습니다. Solutions Architect는 데이터 센터에서 Amazon S3 버킷으로 20TB의 데이터를 전송해야 합니다.
데이터를 전송하는 가장 빠른 방법은 무엇입니까?
A. AWS Import / Export 서비스를 사용하여 데이터를 AWS로 보냅니다.
B. S3 Transfer Acceleration을 사용하여 S3 버킷에 데이터를 업로드 합니다.
https://aws.amazon.com/s3/faqs/
C. 80TB AWS Snowball 디바이스를 사용하여 데이터를 업로드 합니다.
D. 기존 DX 링크를 사용하여 S3 버킷에 데이터를 업로드 합니다.
Answer: C