Big Data (BCS061) - AKTU Question Paper 2024-25
B.Tech · Semester 6 · Free PDF Download
This is the official AKTU Big Data Previous Year Question Paper for B.Tech Semester 6, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.
Course:B.Tech
Semester:Semester 6
Session:2024-25
University:AKTU / UPTU
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Questions Asked in 2024-25
Big Data (BCS061) — complete question paper · 70 marks · 3 Hours
Section AAttempt all q u e s t i o n s i n b r i e f . 0 2 x 7 = 1 4
- aList any five big data platforms
- bHow does Apache Hadoop help process the data?
- cWhat is HDFS in the context of Hadoop?
- dHow does Hive differ from Pig in the Hadoop ecosystem?
- eWhat are the main components of the Hadoop ecosystem?
- fWhat are the main components of the Hadoop ecosystem?
- gWhat is the role of YARN in Hadoop?
Section BAttempt any three o f t h e f o l l o w i n g : 0 7 x 3 = 2 1
- aDiscuss the various types of analytics used in Big Data
- bDiscuss Master Slave and Peer-Peer replication in detail
- cDiscuss the detailed architecture of Map-Reduce
- dDiscuss in brief about the cluster specification. Describe h ow to setting up a Hadoop Cluster?
- eExplain the architecture of HIVE. Also explain data flow in HIVE
Section CAttempt any one part of the following: 07 x 1 = 07
- aDiscuss the 5 Vs used in Big Data with the help of an exampl e
- bDetail about the analysis vs. reporting while introducing th e Big Data
- aDiscuss the detailed architecture of YARN along with its com ponents
- bExplain the key components of the Hadoop ecosystem and descr ibe how they work together to enable large-scale data storage, processing, and analysis
- aDemonstrate the design of HDFS and concept in detail
- bIllustrate the process of r eading a block in Hadoop
- aExplain the components of features and components of Apache Spark
- bDiscuss the advantages and challenges of deploying Hadoop in a c l o u d environment. Explain how cloud platforms enhance the scalabilit y, flexibility, and cost-efficiency of Hadoop clusters
- aExplain the role of Pig Latin as a high-level scripting lang uage for processing large datasets in cloud environments. How does using Pig Latin on clo ud-based Hadoop platforms simplify data transformation and analysis compared to traditional MapReduce programming?
- bCompare and Contrast (i) Apache Pig vs Map-Reduce (ii) Pig vs SQL (iii) Pig vs HIVE
Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.
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