Computer Science


As Companies Move Past The Experimental Phase With Hadoop: Big Data Assignment, US, UAE

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As Companies Move Past The Experimental Phase With Hadoop: Big Data Assignment, US, UAE

SubjectBig Data



 Section A

 For every question, 4 options are given out of which only one option is correct. Choose the correct option

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

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

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

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

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

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 Section B


Answer the following questions briefly

1.  What are the basic differences between a relational database and HDFS?

2. What is Hadoop and its components.

3. What are HDFS and YARN?

4. Write about the various Hadoop daemons and their roles in a Hadoop cluster.

5. Compare HDFS with Network Attached Storage (NAS).

6. List the difference between Hadoop 1 and Hadoop 2.

7. Why does one remove or add nodes in a Hadoop cluster frequently?

8. What will you do when NameNode is down?

9. Why do we use HDFS for applications having large data sets and not when there are a lot of small files?

10. How do you define “block” in HDFS? What is the default block size in Hadoop 1 and in Hadoop 2? Can it be changed?

11. What does the ‘jps’ command do?

12. What is “speculative execution” in Hadoop?

13. What is the difference between an “HDFS Block” and an “Input Split”?

14. Name the three modes in which Hadoop can run.

15. What does a “MapReduce Partitioner” do?

Section C

Answer the following questions in detail

1. What are the applications of Hadoop

2. Write a note on Hdfs

3. What are the MapReduce features

4. Write a note on the Hadoop Cluster

5. Write a note on Hadoop Architecture

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