AKTU Big Data (KOE097) Question Paper 2021-22

Note: Attempt all Sections. If you require any missing data, then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

1. What do you mean by Apache Hadoop?
2. Define the term Big Data.
3. Why do we need Hadoop?
4. What do you mean by Digital data?
5. Define data replication in Hadoop Distributed File System.
6. What do you mean by serialization in Hadoop Distributed File System?
7. Write down briefly about the schedulers.
8. Briefly define NameNode under Hadoop Eco System.
9. What is Zookeeper?
10. Mention the Execution Modes of Pig.

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

1. What are views in HIVE? What is the difference between internal and external tables in HIVE?
2. Describe Map Reduce framework and Map Reduce working.
3. Describe Structured, Semi structured and Unstructured data? Explain with example.
4. Describe about the “Shuffle & Sort” phase and “Reducer Phase” in MapReduce.
5. What are the benefits of Big Data? Discuss in detail about the 5V’s characteristics of Big Data.

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

1. Write short note on any two of the following. i) Hadoop Eco System Frameworks. ii) Joins and subqueries. iii) IBM Big Data strategy.
2. Write down the statement for developing a Map Reduce application.

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

1. Explain the analytic processes and tools under Introduction to Big Data.
2. Mention about the Cluster specification? Describe how to Setting up a Hadoop Cluster?

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

1. Discuss Master Slave and Peer-Peer replication in detail.
2. Explain the Hbase concepts. How Zookeeper helps in monitoring a Cluster?

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

1. Give the Anatomy of a Map Reduce job run in Map Reduce.
2. Give the detailed description about the Analysis vs. reporting while Introducing the Big Data.

Q7

Attempt any one part of the following · 10 × 1 = 10 marks

1. Describe the Compression and Serialization under the Hadoop I/O Operation.
2. Explain about the storage mechanism in HBase. Write a query to create table in HBase.

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