AKTU Big Data (KOE097) Question Paper 2023-24
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow |
|---|---|
| Course | B.Tech, Semester VIII |
| Subject | Big Data (KOE097) |
| Exam | Theory Examination 2023-24 (even semester) |
| Time · Marks | 3 hours · 100 marks |
| Source | AKTU question paper, from the ABESIT question paper bank |
Note: Attempt all Sections. If require any missing data; then choose suitably.
Section A
Q1. Attempt all questions in brief · 2 × 10 = 20 marks
- List any five Big Data platforms.
- Discus the importance of Hadoop technology in Big Data Analytics.
- Explain three benefits of MapReduce.
- Define heartbeat in HDFS.
- List any five Big Data platforms.
- Define data replication in Hadoop Distributed File System.
- Name any two data ingestion tool in Hadoop.
- Compare and Contrast No SQL and Relational Databases
- Discuss the advantages of scala over java.
- Differentiate between Pig and Hive
Section B
Q2. Attempt any three of the following · 3 × 10 = 30 marks
- Differentiate between structured, semi-structured and unstructured data with suitable example.
- Illustrate the anatomy of a MapReduce job run.
- Demonstrate the design of HDFS and concept in detail.
- Explain how CRUD operations with example are performed in MongoDB.
- Illustrate how Zookeeper facilitates coordination and synchronization among HBase.
Section C
Q3
Attempt any one part of the following · 1 × 10 = 10 marks
- Discuss the 5 Vs of Big Data and their implications.
- Elaborate various components of Big Data architecture.
Q4
Attempt any one part of the following · 1 × 10 = 10 marks
- Explain the architecture of Hadoop Distributed File System (HDFS) and its fault tolerance mechanisms.
- Discuss Hadoop streaming and pipes.
Q5
Attempt any one part of the following · 1 × 10 = 10 marks
- Examine how a client read and write data in HDFS.
- Mention about the Cluster specification? Describe how to Setting up a Hadoop Cluster?
Q6
Attempt any one part of the following · 1 × 10 = 10 marks
- State features of Apache Spark and also explain three ways of how Spark can be built with Hadoop components.
- Discuss about Name node high availability and HDFS federation.
Q7
Attempt any one part of the following · 1 × 10 = 10 marks
- Discuss the need for PIG in Hadoop ecosystem. Also explain its various execution mode.
- Explain Apache Hive architecture and the components involved in its operation.
Short on time? See the most repeated AKTU Big Data questions across all years.
Other years
More AKTU Big Data Analytics papers on LearnAIFast.
This paper is reproduced for study purposes only. Copyright belongs to AKTU. Source: the question paper bank of ABES Institute of Technology, an AKTU-affiliated college. If you own the copyright and want it removed, email learnwithskillnest@gmail.com and we will take it down.