RTU Kota B.Tech 6th Semester Cloud Computing Question Paper 2025 (CSE/IT/AI)

RTU Cloud Computing 2025 Paper Review

Preparing for the Rajasthan Technical University B.Tech Cloud Computing exam requires a thorough understanding of distributed systems architecture, virtualization mechanics, and scalable resource management. For students pursuing computer science, data engineering, or machine learning pipelines, cloud infrastructure serves as the deployment target for modern full-stack systems and high-compute models. You cannot reliably manage scalable container microservices or distribute data files across nodes without analyzing underlying multi-tenant cloud architectures.

The 2025 paper tests your understanding of hypervisor efficiency, multi-tiered deployment models, and cluster resource scheduling. Publishing this specific 6th-semester paper review directly on exam-support.in supplies your users with the precise structural layout and analytical breakdown required to clear the theoretical evaluation and excel in numerical mapping problems. This strategic approach establishes clear expectations for the grading criteria, Jaiprakash.

Understanding the Exam Pattern

The RTU theory examination is a three-hour paper worth 70 marks divided into three distinct sections. The marks are distributed based on conceptual depth and architectural design clarity.

• Part A: Ten compulsory questions worth two marks each. You must provide concise definitions for core terms under 30 words, such as the NIST definition of cloud computing, broad network access, hypervisor types, or horizontal vs vertical scaling.
• Part B: Seven questions out of which you must answer five. Each question is worth four marks. These questions require brief comparative breakdowns, including detailing full virtualization versus para-virtualization, explaining the service layers (SaaS, PaaS, IaaS), or configuring a basic resource provisioning workflow.
• Part C: Five extensive descriptive or analytical questions where you must answer three. Each question carries ten marks. These require you to draft complete architectural flow diagrams for the Google File System (GFS), execute a MapReduce execution pass for a sample text dataset, or formulate comprehensive security risk mitigation protocols for multi-tenant storage arrays.

Core Topics Evaluated in the Paper

The 2025 question paper centers on several fundamental blocks that define modern distributed deployment networks. Focus your study efforts on these specific modules.

Cloud Computing Architecture and NIST Models

This area checks your knowledge of cloud characteristics, service delivery layers, and deployment strategies (Public, Private, Hybrid, Community). You must understand how the SPI model maps onto consumer management responsibilities. Memorize the exact demarcation of infrastructure control from physical hardware up through application code to answer structural questions accurately.

Virtualization Technologies

Virtualization is the core enabling mechanism of cloud infrastructure. Focus on the operational differences between Bare-Metal (Type-1) and Hosted (Type-2) hypervisors. Study how physical hardware is sliced at the CPU, memory, and I/O levels. Be prepared to compare hardware-assisted virtualization with binary translation methods.

Data Center Infrastructure and Storage

Large-scale cloud systems rely on distributed data systems. You must master the architectural components of the Google File System (GFS) and the Hadoop Distributed File System (HDFS). Understand the operational relationship between the Master/NameNode and ChunkServer/DataNodes. Focus on how replication factors guarantee fault tolerance across commodity hardware nodes.

Cloud Programming Models (MapReduce)

Processing terabytes of unstructured data requires distributed computation frameworks. Study the MapReduce execution flow in detail. Practice tracing how input files are split, mapped into intermediate key-value pairs, sorted, shuffled, and reduced to a final output matrix. Expect multi-mark analytical questions requiring you to draw out the execution timeline for a small data set.

Cloud Security and Identity Management

Multi-tenancy introduces severe security isolation risks. This module evaluates your understanding of data remnants, hypervisor escape vectors, and side-channel vulnerabilities. Study the implementation of Identity and Access Management (IAM) role hierarchies, single sign-on (SSO) tokens, and symmetric/asymmetric encryption standards for data at rest and data in transit within a public cloud container environment.

Answer Writing Strategy for High Marks

RTU evaluators prioritize clear architecture block diagrams, explicit data flow arrows, and distinct comparative breakdowns over long, unorganized text blocks. Use a blue pen for text explanations and logical arguments. Use a black pen and ruler for framing system components, service layer interfaces, and state transitions.

In Part A, write immediate, definitive responses. If a question asks for the definition of elasticity, state clearly that it is the runtime capability of a cloud system to automatically scale computing resources up or down in response to real-time workload fluctuations.

In Part B, present your technical comparisons vertically rather than using wide horizontal structures. List each parameter clearly, detailing the functional approach for one architecture followed immediately by the alternative solution to maintain readability for online script evaluations.

In Part C, block diagrams are essential for achieving full marks. When explaining MapReduce or GFS, do not simply describe the steps. Draw out the client interface, control nodes, and data arrays with labeled directional arrows indicating control paths versus data transfer paths. Isolate separate software components using distinct rectangular boundaries.

Time Management During the Exam

Allocate exactly 20 minutes to complete Part A. Spend 40 minutes drafting the five intermediate answers in Part B. Reserve 120 minutes for the three high-weight architectural questions in Part C. Drawing clear cluster topologies, tracking block replication flows, and detailing cloud identity handshakes requires concentrated schematic mapping and detailed prose. This allocation yields 40 minutes per major question, leaving ample opportunity to refine your technical illustrations. Use the remaining 10 minutes to verify your question indexes, confirm all service interface lines are appropriately bounded, and ensure your architectural steps follow a logical progression.