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
Discussion
Explanation: Adding security to Hadoop is challenging because all the interactions do not follow the classic client-server pattern.
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
Discussion
Explanation: Hadoop batch processes data distributed over a number of computers ranging in 100s and 1000s.
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
Discussion
Explanation: Data warehousing integrated with Hadoop would give a better understanding of data.
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
Discussion
Explanation: To use Hive with HBase you’ll typically want to launch two clusters, one to run HBase and the other to run Hive.
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
Discussion
Explanation: The programming model, MapReduce, used by Hadoop is simple to write and test.
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
Discussion
Explanation: Doug Cutting, Hadoop creator, named the framework after his child’s stuffed toy elephant.
7. All of the following accurately describe Hadoop, EXCEPT ____________
a) Open-source
b) Real-time
c) Java-based
d) Distributed computing approach
Discussion
Explanation: Apache Hadoop is an open-source software framework for distributed storage and distributed processing of Big Data on clusters of commodity hardware.
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
Discussion
Explanation: MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm.
9. _________ has the world’s largest Hadoop cluster.
a) Apple
b) Datamatics
c) Facebook
d) None of the mentioned
Discussion
Explanation: Facebook has many Hadoop clusters, the largest among them is the one that is used for Data warehousing.
10. Facebook Tackles Big Data With _______ based on Hadoop.
a) ‘Project Prism’
b) ‘Prism’
c) ‘Project Big’
d) ‘Project Data’
Discussion
Explanation: Prism automatically replicates and moves data wherever it’s needed across a vast network of computing facilities.