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) — extracted question text · 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. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.
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