Subtask 1.1: Business Requirements

**CASE STUDY: HealthCare360** **Company Overview:** HealthCare360 provides EHR systems to hospitals in NA and EU. **Current Environment:** Isolated on-prem deployments. Fragmented data. **Business Requirements:** Centralize EHR in cloud. Enable cross-hospital research. Ensure compliance. **Executive Statements:** CEO: 'Transforming to SaaS.' CFO: 'Need cost attribution per tenant.' CSO: 'Zero compromise on HIPAA/GDPR.' **Technical Requirements:** Multi-region active-active deployment. Microservices on GKE. End-to-end encryption (CMEK). Strict network perimeters. **Constraints:** Zero data loss (RPO=0). RTO < 15 minutes. HIPAA (US) and GDPR (EU) compliance. **QUESTION:** To meet the requirement for a multi-region active-active deployment with an RPO of 0, which TWO database architectures could you use? (Select TWO)

CASE STUDY: TechStream Gaming Overview: Gaming company, 500 employees, $100M revenue. 200 on-prem servers (US/EU), MySQL 5TB. 2M peak users. $150K/mo cost. Business Req: Reduce cost 40%, 5x growth, 3 new regions, daily deployments. Execs: CEO wants scale; CFO caps budget at $100K/mo; CTO needs 99.95% uptime, notes team has limited cloud skills. Tech Req: <100ms global latency, real-time analytics, 5x seasonal spikes, EU data residency, DDoS protection. Constraints: 12-month migration, max 4-hour downtime. QUESTION: To support the requirement for real-time analytics on player behavior, which architecture should you recommend?

CASE STUDY: AeroMech Overview: Aviation manufacturer, 5000 employees, $2B revenue. 100 engines, 10k sensors/engine, 1GB data/flight. On-prem Hadoop. Business Req: Predictive maintenance, secure data sharing with airlines, monetize data. Execs: CEO wants new revenue; CFO demands ML ROI; CTO says on-prem storage unfeasible. Tech Req: High-throughput ingestion, PB-scale storage, train ML on historical data, deploy ML to edge (aircraft). Constraints: Intermittent low-bandwidth flight connectivity, aviation data compliance, data scientists use Python/Jupyter. QUESTION: How should you design the ingestion pipeline to handle the intermittent connectivity and high data volume from the aircraft engines?

Your enterprise is adopting a multi-cloud strategy. You need to manage Kubernetes clusters running in Google Cloud, AWS, and your on-premises data center from a single pane of glass. You also need to enforce consistent security policies across all environments. Which solution should you implement?

You are designing a Disaster Recovery (DR) plan for a critical application. The business requires a 'Warm Standby' approach to balance cost and recovery time. How should you architect this in GCP?

CASE STUDY: RetailMart Overview: Industry: Retail/E-commerce Size: 2000 employees, $500M revenue Environment: - Monolithic Java app on VMware - Oracle RAC DB - F5 Load Balancers - 10 Gbps Direct Connect to AWS Requirements: - CapEx to OpEx - Handle 10x Black Friday traffic - Personalized recommendations - Modernize without impacting sales Exec Statements: - CEO: Omnichannel experience. - CFO: Predictable costs, no hardware refresh. - CTO: Break monolith, but Oracle DB stays on-prem for 2 years. Tech Reqs: - Zero downtime deployments - PCI-DSS compliance - Image processing pipeline - Async order processing Constraints: - Hybrid architecture required - Team knows Spring Boot, zero Kubernetes exp - 6-month timeline QUESTION: Which architectural pattern should you recommend to safely break down the monolithic application without impacting current sales?

CASE STUDY: HealthSecure Company Overview: HealthSecure provides electronic health record (EHR) systems and telemedicine platforms to hospitals across North America. They handle highly sensitive patient data. Current Technical Environment: - Co-located data centers with strict physical security. - Monolithic .NET applications running on Windows Server. - Microsoft SQL Server databases. - Custom-built video streaming solution for telemedicine. Business Requirements: - Migrate to the cloud to improve scalability during telemedicine surges. - Maintain strict compliance with HIPAA and HITECH regulations. - Enable interoperability with other healthcare providers using FHIR standards. Executive Statements: - CEO: "Telemedicine is exploding. We need to scale instantly to meet patient demand." - Chief Risk Officer (CRO): "Security and compliance are our license to operate. A data breach would destroy us." - CTO: "We want to leverage cloud-native AI/ML for medical image analysis in the future." Technical Requirements: - End-to-end encryption for all data at rest and in transit. - Strict network isolation to prevent data exfiltration. - Comprehensive audit logging of all data access. - High availability across multiple regions. Constraints: - Must use Customer-Managed Encryption Keys (CMEK). - Third-party auditors require detailed compliance reports. - Legacy .NET applications cannot be easily containerized without refactoring. QUESTION: To enable interoperability with other healthcare providers using FHIR standards and prepare for future AI/ML image analysis, which GCP service should you recommend?

A financial services company is evaluating a migration to Google Cloud. The CFO wants to understand the Total Cost of Ownership (TCO) and the expected Return on Investment (ROI) compared to their current on-premises data center. Which approach should you take to provide the most accurate financial assessment?

You are designing a highly available web application on Compute Engine. The application must automatically scale out during traffic spikes and scale in during quiet periods to save costs. If a VM crashes, it must be automatically recreated. Which GCP feature should you use?

You are designing a Disaster Recovery (DR) plan for a critical application. The business stakeholders have defined a Recovery Point Objective (RPO) of 1 hour and a Recovery Time Objective (RTO) of 4 hours. Which TWO statements correctly describe what these metrics mean for your architecture? (Select TWO)