RGPV – B.Tech CSE 7th Semester – All Question Papers PDF Download

RGPV – B.Tech CSE 7th Semester – All Question Papers PDF Download – 701 – Software Architecture (Important Topics & Previous Years Question Papers pdf), 702 – Big Data (Important Topics & Previous Years Question Papers pdf), 702 – Deep and Reinforcement Learning (Important Topics & Previous Years Question Papers pdf), 702 – Wireless and Mobile Computing (Important Topics & Previous Years Question Papers pdf), 703 – Cryptography and Information Security (Important Topics & Previous Years Question Papers pdf), 703 – Data Mining and Warehousing (Important Topics & Previous Years Question Papers pdf), 704 – Information Storage and Management (Important Topics & Previous Years Question Papers pdf), 703 – Cloud Computing (Important Topics & Previous Years Question Papers pdf).

701 – Software Architecture (Important Topics & Previous Years Question Papers pdf):

Software Architecture	Important Topics (Note: The topics repeated/asked over multiple years are bold marked)
Dec-2020	Software architecture and design decisions -\|- different models of software development -\|- different architectural styles -\|- Pipes and filters -\|- design rules of user interface architecture -\|- integration in software development environments -\|- architecture description language -\|- UML in Software Architecture -\|- Cost Benefit Analysis Method (CBAM) -\|- Notation linguistic issues in software architectural design -\|- Data and Message Exchange patterns for Enterprise SoA -\|- ATAM (Architecture Trade off Analysis Method) -\|- RMI -\|- Principles of sound documentation
Dec-2024	Various models of software development -\|- Architectural business cycle -\|- structural model, framework model and dynamic model -\|- Call and return architecture -\|- node JS vs angular JS -\|- JSP and servlets -\|- ARID -\|- software architecture analysis methods -\|- Refinement and sound documentation -\|- seven part template for documentation package -\|- RMI -\|- RPC -\|- Seven categories of architectural design decisions -\|- abstract common services, encapsulate -\|- steps of attribute driven design method -\|- variability -\|- CORBA and RMI -\|- Data flow architecture
Nov-2023	Software architecture and design decisions -\|- Software quality model -\|- Mc Call’s model -\|- Architectural constraints of RESTful API-\|- Quality of software architecture -\|- architecture description language -\|- Model view architecture -\|- Quality attributes specification -\|- ATAM (Architecture Trade off Analysis Method) -\|- design rules of user interface architecture -\|- documentation package -\|- Rapid Application Development Methodology -\|- Pipes and filters -\|- UML in Software Architecture -\|- Active Reviews for Intermediate Design -\|- Sound documentation -\|- Architectural Patterns
Nov-2022	Documentation in software architecture -\|- Context diagrams -\|- Spiral model of software development -\|- Software components and connectors -\|- Software architecture models -\|- Cost Benefit Analysis Method -\|- Attribute driven design method -\|- analyse quality of software Architecture using Trade-offAnalysis (ATAM) Method -\|- Active Reviews for Intermediate Design (ARID) -\|- Architecture description language -\|- UML diagrams -\|- software architecture framework -\|- Pipes and filter architecture -\|- Java RMI -\|- CORBA -\|- Laycred software architecture -\|- Software development life cycle

Subject code	Year	Month	Subject
701	2020	DEC	CS-701-SOFTWARE-ARCHITECTURE-DEC-2020
701	2024	DEC	CS-701-SOFTWARE-ARCHITECTURES-DEC-2024
701	2022	NOV	CS-701-SOFTWARE-ARCHITECTURES-NOV-2022
701	2023	NOV	CS-701-SOFTWARE-ARCHITECTURES-NOV-2023

702 – Big Data (Important Topics & Previous Years Question Papers pdf):

Big Data	Important Topics (Note: The topics repeated/asked over multiple years are bold marked)
Dec-2024	Components of hadoop -\|- V’s of Big data -\|- Infrastructure for big data -\|- Map reduce concept -\|- Building blocks of hadoop -\|- Types and formats of map reduce -\|- HDFS architecture and HDFS commands -\|- User defined functions in Hive -\|- Word count problem in Pig -\|- Working of Hive -\|- Different Hive data types -\|- Use of NoSQL database -\|- Characteristics and advantages of NoSQL -\|- Social network as a graph -\|- Social network mining -\|- Recommender system
Nov-2023	Five characteristics of big data -\|- Structure of HDFS -\|- Technologies available for big data -\|- Challenges with big data -\|- Explain Hadoop distributed file system -\|- Mapper -\|- Reducer -\|- Combiner -\|- big data processing vs distributed processing -\|- Hive meta store -\|- Classes of Hive to Read and write HDFS files -\|- Hive Queries for Natural Join and Outer Join -\|- Relational operators in Pig -\|- NoSQL databases -\|- NoSQL vs relational database -\|- Application of NoSQL database -\|- Characteristics and advantages of NoSQL database -\|- Applications of social network mining -\|- Recommender system
Nov-2022	Characteristics of Big data and Challenges in handling big data -\|- various types of Big Data analytics -\|- Predictive analytics -\|- Various technologies available for Big Data -\|- Hadoop and big data -\|- MapReduce and YARN -\|- HDFS -\|- Explain HIVE -\|- HIVE Queries for Natural join and Out-join -\|- Various data types in Pig -\|- NoSQL use in big data problems -\|- Market and Business drivers for Big data analytics -\|- Sharding in MongoDB -\|- Social network graph -\|- Clustering in social network analysis -\|- RDBMS Vs Hadoop -\|- Hadoop Ecosystem -\|- ETL Processing -\|- Variation of NOSAQL

Subject code	Year	Month	Subject
702	2020	DEC	CS-702-D-BIG-DATA-DEC-2020
702	2024	DEC	CS-702-D-BIG-DATA-DEC-2024
702	2022	NOV	CS-702-D-BIG-DATA-NOV-2022
702	2023	NOV	CS-702-D-BIG-DATA-NOV-2023

702 – Deep and Reinforcement Learning (Important Topics & Previous Years Question Papers pdf):

Deep and Reinforcement Learning	Important Topics (Note: The topics repeated/asked over multiple years are bold marked)
Nov-2023	Architecture of convolutional neural network -\|- Definition of recurrent neural networks -\|- Long short-term memory (LSTM) explanation -\|- Compare deep and shallow networks -\|- McCulloch Pitts neuron model diagram -\|- Sparse and contractive autoencoders -\|- Better weight initialization methods -\|- Deep learning uses, history, applications -\|- Semi-supervised learning -\|- Principle Component Analysis and RNN -\|- Policy gradient algorithm for Full RL -\|- Bandit algorithms -\|- Q function and Q-learning algorithm -\|- Value iteration, policy iteration and temporal difference learning -\|- Face recognition application -\|- Actor-critic method -\|- Group normalization
Dec-2020	McCulloch Pitts neuron model -\|- Single-layer neural network -\|- Back Propagation Through Time (BPTT) for training RNNs -\|- Sparse & contractive autoencoders -\|- Convolutional network architecture -\|- Better weight initialization methods -\|- Linear MLP equals single perceptron -\|- ResNet & LeNet -\|- Guided back propagation -\|- Dataset augmentation -\|- LSTM -\|- Q-function and Q-learning algorithm -\|- Policy gradient for reinforcement learning -\|- Value iteration, policy iteration and Temporal Difference Learning -\|- Bandit algorithms -\|- Reinforcement learning -\|- Actor-critic method -\|- Group normalization -\|- PCA (Principle Component Analysis)

Subject code	Year	Month	Subject
702	2020	DEC	CS-702-B-DEEP-AND-REINFORCEMENT-LEARNING-DEC-2020
702	2023	NOV	CS-702-B-DEEP-AND-REINFORCEMENT-LEARNING-NOV-2023

702 – Wireless and Mobile Computing (Important Topics & Previous Years Question Papers pdf):

Wireless and Mobile Computing	Important Topics (Note: The topics repeated/asked over multiple years are bold marked)
Dec-2024	Define internet, bridge vs router -\|- TCP/IP architecture -\|- IPv4 vs IPv6: structure, space -\|- Subnetting and supernetting -\|- VLAN, firewall -\|- Exterior & interior gateway protocols -\|- Calculate optimal TCP window size -\|- Wireless vs wired media access -\|- Adhoc vs traditional networks -\|- Adhoc routing protocol -\|- Transport layer role in networking -\|- Cellular network and handover -\|- Mobile OS constraints and needs -\|- M-commerce pros and cons -\|- Android operating system -\|- GSM architecture -\|- Mobile IP
Dec-2020	Class A/B/C network count & host range in each -\|- Find class, subnet, broadcast address -\|- Open Shortest Path First (OSPF) protocol working and router message -\|- BGP characteristics -\|- Silly window syndrome -\|- CIDR concept and its advantages over classful addressing -\|- MAC protocol issues in adhoc networks -\|- hidden and exposed terminal problem -\|- near and far terminal problem -\|- Home Network -\|- Home address -\|- Foreign Network -\|- Foreign Agent -\|- Care of Address -\|- Home Agent -I- I-TCP, S-TCP, M-TCP -\|- Handoff types -\|- Four GSM handover types -\|- M-commerce structure, pros, cons -\|- Mobile operating system -\|- software development kit -\|- DSR -\|- UDP and TCP

Subject code	Year	Month	Subject
702	2020	DEC	CS-702-C-WIRELESS-AND-MOBILE-COMPUTING-DEC-2020
702	2024	DEC	CS-702-C-WIRELESS-AND-MOBILE-COMPUTING-DEC-2024

703 – Cryptography and Information Security (Important Topics & Previous Years Question Papers pdf):

Cryptography and Information Security	Important Topics (Note: The topics repeated/asked over multiple years are bold marked)
Nov-2023	Fermat’s Little Theorem -\|- Cryptanalysis on Substitution Cipher -\|- DES Algorithm & S-box -\|- Diffie-Hellman Key Exchange -\|- RSA Algorithm with Example, encryption and decryption -\|- Schnorr Identification Scheme -\|- Message Authentication Attacks & Levels -\|- Digital Signature Standard (DSS) -\|- Firewalls and Types -\|- Session keys, public and private Keys in PGP -\|- S/MIME Algorithms & Certification -\|- Encapsulating Security Payload -\|- DoS Attack Tools -\|- Steganography & Types -\|- Block Cipher -\|- Hash Function -\|- Transport Layer Security -\|- Foot Printing Tools
Nov-2022	Cipher Feedback Mode (CFB) -\|- Cryptanalysis & Brute Force -\|- DES Key Generation Steps -\|- AES Structure & Process, encryption and decryption -\|- Chinese Remainder Theorem -\|- Public Key Distribution Methods -\|- Diffie-Hellman Key Exchange algorithm -\|- MD5 -\|- Secure Hash Algorithm (SHA) – merits and demerits -\|- PGP Compression Reasoning -\|- SSL Handshake Protocol -\|- Honeypot & Its Types -\|- DoS Attack understanding Tools -\|- Trojan Detection Tools -\|- Firewall & Types -\|- Digital Signature Standard (DSS) -\|- Triple DES -\|- Schnorr Identification Scheme

Subject code	Year	Month	Subject
703	2020	DEC	CS-703-A-CRYPTOGRAPHY-AND-INFORMATION-SECURITY-DEC-2020
703	2022	NOV	CS-703-A-CRYPTOGRAPHY-AND-INFORMATION-SECURITY-NOV-2022
703	2023	NOV	CS-703-A-CRYPTOGRAPHY-AND-INFORMATION-SECURITY-NOV-2023

703 – Data Mining and Warehousing (Important Topics & Previous Years Question Papers pdf):

Data Mining and Warehousing	Important Topics (Note: The topics repeated/asked over multiple years are bold marked)
Dec-2024	Three-Tier Data Warehouse Architecture -\|- Data Warehouse Schemas -\|- Data Warehouse Building Blocks & Metadata importance, metadata management challenges -\|- Data sourcing, acquisition, clean up and transformation -\|- MOLAP vs ROLAP -\|- OLAP Tools on Internet -\|- OLAP – roll-up operation -\|- OLAP drill down operation -\|- OLAP slice operation -\|- OLAP dice operation -\|- Data Cleaning Methods -\|- Data Mining Task Primitives -\|- Data Mining Issues & Functionalities -\|- Supervised Learning Techniques -\|- Distance-Based Algorithms -\|- Decision Tree based Algorithms -\|- Data Mining Applications -\|- Types of Data in Cluster analysis -\|- Clustering Methods – BIRCH & CURE
Nov-2023	Three-Tier Data Warehouse Architecture -\|- Star schema, Snowflake schema, Fact Constellation Schema -\|- Multidimensional Database Schemas -\|- Metadata in Data Warehousing -\|- OLAP Tools Categorization -\|- OLAP Operations in multidimensional data model -\|- Data Mining Integration with Data Warehouse -\|- Data Mining in Knowledge Discovery -\|- Data Preprocessing Tasks -\|- Data Mining vs Knowledge Discovery -\|- Association Rule Learning Type -\|- Supervised Learning in Classification -\|- Clustering & Data Types -\|- Clustering Goal & partitioning around medoids Algorithm -\|- Clustering Methods (BIRCH, CURE) -\|- Apriori Algorithm with Example

Subject code	Year	Month	Subject
703	2024	DEC	CS-703-B-DATA-MINING-AND-WAREHOUSING-DEC-2024
703	2023	NOV	CS-703-B-DATA-MINING-AND-WAREHOUSING-NOV-2023
703	2020	DEC	CS-703-B-DATA-MINING-AND-WARESHOUSING-DEC-2020

704 – Information Storage and Management (Important Topics & Previous Years Question Papers pdf):

Subject	Year	Month	Subject
704	2013	DEC	CS-704-INFORMATION-STORAGE-AND-MANAGEMENT-DEC-2013
704	2014	DEC	CS-704-INFORMATION-STORAGE-AND-MANAGEMENT-DEC-2014
704	2015	DEC	CS-704-INFORMATION-STORAGE-AND-MANAGEMENT-DEC-2015
704	2016	DEC	CS-704-INFORMATION-STORAGE-AND-MANAGEMENT-DEC-2016
704	2020	DEC	CS-704-INFORMATION-STORAGE-AND-MANAGEMENT-DEC-2020
704	2020	JUN	CS-704-INFORMATION-STORAGE-AND-MANAGEMENT-JUN-2020
704	2017	DEC	CS-704-INFORMATION-STROAGE-AND-MANAGEMENT-DEC-2017

703 – Cloud Computing (Important Topics & Previous Years Question Papers pdf):

Subject code	Year	Month	Subject
703	2011	DEC	CS-IT-703-CLOUD-COMPUTING-DEC-2011
703	2012	DEC	CS-IT-703-CLOUD-COMPUTING-DEC-2012
703	2013	DEC	CS-IT-703-CLOUD-COMPUTING-DEC-2013
703	2014	DEC	CS-IT-703-CLOUD-COMPUTING-DEC-2014
703	2015	DEC	CS-IT-703-CLOUD-COMPUTING-DEC-2015
703	2016	DEC	CS-IT-703-CLOUD-COMPUTING-DEC-2016
703	2017	DEC	CS-IT-703-CLOUD-COMPUTING-DEC-2017
703	2020	DEC	CS-IT-703-CLOUD-COMPUTING-DEC-2020
703	2015	JUN	CS-IT-703-CLOUD-COMPUTING-JUN-2015