Cloud Computing April 2026

Description

Cloud Computing

Apr 2026 Examination

 

 

Q1. LibertyCare Health, a multi-hospital healthcare chain plans to expand bed capacity fivefold over three years. Its CIO cannot build or staff new data centres to support EHR, surgical systems, imaging archives and real-time monitoring. The operations team must ensure zero-impact clinical availability, strict patient-data residency, and audit trails. The board prefers OPEX cloud models over capital expenditure but worries about vendor lock-in, SLAs for life-critical systems, and clinician resistance to change. The CIO must lead a cross-functional programme (IT, clinical leaders, legal, procurement) to adopt a hybrid cloud architecture that balances security, performance and cost.

Apply Kotter’s 8-Step Change Model to lead the hospital’s migration from an internally managed data centre to a scalable cloud platform, specifying concrete actions, stakeholder engagement strategies, risk controls (data privacy, uptime during surgeries), vendor selection criteria, timeline checkpoints, and measurable success indicators to ensure uninterrupted clinical operations and regulatory compliance (10 marks)?

Ans 1.

Introduction

LibertyCare Health’s ambitious plan to expand hospital bed capacity fivefold within three years places enormous pressure on its digital infrastructure. Existing on-premise data centres cannot scale quickly enough to support electronic health records, imaging archives, surgical applications, and real-time patient monitoring systems. At the same time, healthcare operations demand near-zero downtime, strict data residency compliance, and full audit traceability. While the board prefers cloud-based operational expenditure models, concerns remain around vendor lock-in, service reliability for life-critical systems, and clinician acceptance

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Q2. SkyCart Retail, a fast-growing mid-size online retailer, adopted cloud-based auto- scaling, load balancers, and distributed caching to handle rapid user growth. Although response times improved and average compute costs declined, the company now faces sporadic downtime, unexpected data-transfer charges, and difficulties integrating legacy peripherals and third-party services. Teams also report that proprietary vendor tooling has created lock-in and migration barriers. Meanwhile, marketing demands higher uptime during flash-sale events and more predictable cost forecasting.

As the CTO plans an architectural review, evaluate SkyCart Retail’s current cloud deployment. Critically assess outage risks, cost volatility, interoperability challenges, and vendor lock-in. Recommend architectural, operational, and governance measures to reduce downtime, control variable costs, and maintain rapid time-to-market. (10 Marks)

Ans 2.

Introduction

SkyCart Retail’s rapid growth has pushed the company to adopt modern cloud capabilities such as auto-scaling, load balancers, and distributed caching to support increasing customer demand. While these technologies have improved application responsiveness and reduced average compute costs, they have also introduced new operational challenges. Sporadic downtime, unpredictable data-transfer charges, and integration difficulties with legacy systems indicate that the current architecture lacks stability and governance maturity. In addition, heavy dependence on proprietary cloud tools has created vendor lock-in concerns,

 

Q3(A). Horizon Systems, a software services company runs its core workloads on a private cloud built with Citrix XenServer and Aneka for distributed application management. To control costs and be environmentally responsible, the CTO wants to optimise the fleet of servers, automatically migrate VMs, and burst to public clouds for load peaks. Business units demand guaranteed response times per application and predictable monthly billing. The company also wants to report on carbon footprint reductions as part of sustainability goals while avoiding SLA breaches during aggressive consolidation and energy-saving actions.

Design an SLA-Driven Resource Optimisation Model for a firm using Aneka and Citrix XenServer to run enterprise applications across a private cloud and burst into public clouds for peak demand. The model should incorporate SLA negotiation, energy-aware scheduling, dynamic VM migration policies, capacity reservation, accounting and chargeback, and green-computing incentives. How would you operationalise this model to balance SLA adherence, operational cost minimisation, energy consumption reduction, and transparent billing? (5 Marks)

Ans 3a.

Introduction

Horizon Systems operates a private cloud environment that must balance business performance commitments with cost efficiency and sustainability objectives. As application demand fluctuates, the CTO’s goal of consolidating servers, enabling dynamic VM migration, and bursting workloads into public clouds requires a structured resource optimization approach. At the same time, business units expect guaranteed response times and predictable

 

Q3(B) ClientSphere CRM, a multi-tenant SaaS provider for SMEs, faces noisy-neighbour performance issues, a monolithic database nearing scalability limits, surge-workload challenges, multi-region latency, and difficulties maintaining accurate metered billing.

Suggest & Evaluate the cloud-architecture options to improve tenant isolation, scalability, compliance, and cost efficiency while ensuring reliable usage accounting. (5 Marks)

Ans 3b.

Introduction

ClientSphere CRM’s multi-tenant SaaS platform faces performance inconsistency, database scalability limitations, and billing accuracy challenges as user demand grows. Noisy-neighbour issues and regional latency directly affect customer satisfaction and regulatory compliance. To sustain growth, the platform must adopt architectural strategies that improve isolation, scalability, and cost efficiency while maintaining transparent usage accounting. A carefully designed cloud architecture enables predictable performance and operational resilience