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Hadoop
Bigdata
Quiz 1
Solution
Q.1.
As companies move past the experimental phase with Hadoop, many cite the need for additional capabilities, including _______________
a) Improved data storage and information retrieval
b) Improved extract, transform and load features for data integration
c) Improved data warehousing functionality
d) Improved security, workload management, and SQL support
Q.2.
Point out the correct statement.
a) Hadoop do need specialized hardware to process the data
b) Hadoop 2.0 allows live stream processing of real-time data
c) In the Hadoop programming framework output files are divided into lines or records
d) None of the mentioned
Q.3.
According to analysts, for what can traditional IT systems provide a foundation when they’re integrated with big data technologies like Hadoop?
a) Big data management and data mining
b) Data warehousing and business intelligence
c) Management of Hadoop clusters
d) Collecting and storing unstructured data
Q.4.
Hadoop is a framework that works with a variety of related tools. Common cohorts include ____________
a) MapReduce, Hive and HBase
b) MapReduce, MySQL and Google Apps
c) MapReduce, Hummer and Iguana
d) MapReduce, Heron and Trumpet
Q.5.
Point out the wrong statement.
a) Hardtop processing capabilities are huge and its real advantage lies in the ability to process terabytes & petabytes of data
b) Hadoop uses a programming model called “MapReduce”, all the programs should conform to this model in order to work on the Hadoop platform
c) The programming model, MapReduce, used by Hadoop is difficult to write and test
d) All of the mentioned
Q.6.
What was Hadoop named after?
a) Creator Doug Cutting’s favorite circus act
b) Cutting’s high school rock band
c) The toy elephant of Cutting’s son
d) A sound Cutting’s laptop made during Hadoop development
Q.7.
All of the following accurately describe Hadoop, EXCEPT ____________
a) Open-source
b) Real-time
c) Java-based
d) Distributed computing approach
Q.8.
__________ can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of data.
a) MapReduce
b) Mahout
c) Oozie
d) All of the mentioned
Q.9.
__________ has the world’s largest Hadoop cluster.
a) Apple
b) Datamatics
c) Facebook
d) None of the mentioned
Q.10.
Facebook Tackles Big Data With _______ based on Hadoop.
a) ‘Project Prism’
b) ‘Prism’
c) ‘Project Big’
d) ‘Project Data’
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