Subtask 5.3: Cost Optimization

**CASE STUDY: TechStream Gaming** **Company Overview:** TechStream Gaming is a global gaming company with 500 employees and $50M annual revenue. **Current Environment:** On-premises data centers in US and EU. 200 servers. MySQL databases (5 TB). Peak users: 2M. Cost: $100K/mo. **Business Requirements:** Reduce costs by 40%. Support 5x user growth. Launch in APAC, SA, Africa. Improve deployment to daily. **Executive Statements:** CEO: 'Scale rapidly.' CFO: 'Max $100K/mo, ROI 18mo.' CTO: 'Limited cloud exp, 99.95% uptime.' **Technical Requirements:** <100ms latency globally. Real-time analytics. 5x traffic spikes. EU data residency. DDoS protection. CI/CD. **Constraints:** 12-month migration. Max 4-hour downtime. 20 devs (Java/MySQL), 5 ops (limited cloud). Budget $2M. **QUESTION:** To address the CFO's cost concerns and the CTO's team constraints, which combination of strategies should you implement?

**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:** How should you design the resource hierarchy and billing to meet the CFO's requirement for cost attribution per hospital tenant?

CASE STUDY: ShopGlobal Overview: Retailer, 2000 employees, $500M revenue. US-Central co-lo, Java/Tomcat monolith, Oracle RAC 20TB, batch inventory sync. Business Req: Handle 10x Black Friday spikes, personalized recommendations, modernize to microservices. Execs: CEO wants omnichannel; CFO needs predictable spend; CTO demands zero downtime cutover. Tech Req: PCI-DSS compliance, automated image processing, real-time inventory, CI/CD. Constraints: Complex Oracle stored procedures, team learning containers, strict bi-annual audits. QUESTION: To satisfy the CFO's requirement for predictable cloud spend while handling the 10x Black Friday spikes, what pricing strategy should you use for compute resources?

The CFO wants to implement a chargeback model where each department is billed exactly for the cloud resources they consume. Currently, all departments deploy resources into a single shared GCP project. How should you architect the billing solution?

You are running a batch processing job on Compute Engine that takes 4 hours to complete. The job is fault-tolerant; if a VM shuts down, the job can resume from where it left off. You want to minimize compute costs. Which instance type should you use?

Your global e-commerce site serves heavy image and video content. Users in Asia are experiencing slow load times because the origin servers are in the US. You want to improve performance and reduce egress network costs. What should you do?

Your company's GCP bill has increased significantly. You suspect that developers are provisioning VMs that are much larger than necessary. Which TWO tools can help you identify and fix this issue? (Select TWO)

Your company is analyzing its GCP bill and notices that 'Network Egress' is the highest cost. The traffic is primarily users downloading large media files, and internal data transfers between GCP and the on-premises data center. Which THREE strategies will reduce these network costs? (Select THREE)

Your team manages a large Google Kubernetes Engine (GKE) Standard cluster. The CFO has asked you to optimize the compute costs of the cluster. The workloads consist of a mix of critical, always-on web services and fault-tolerant, interruptible batch processing jobs. Which TWO strategies should you implement? (Select TWO)

CASE STUDY: TechStream Gaming Overview: Industry: Gaming Size: 500 employees, $100M revenue Environment: - On-prem US/EU - 200 servers - MySQL (5 TB) - 2M peak users - $100K/mo cost Requirements: - Reduce costs 40% - 5x growth - Launch APAC/SA/Africa - Daily deployments Exec Statements: - CEO: Scale rapidly. - CFO: Max $100K/mo, 18mo ROI. - CTO: Limited cloud exp, 99.95% uptime. Tech Reqs: - <100ms latency globally - Real-time analytics - 5x seasonal spikes - EU data residency - DDoS protection - CI/CD Constraints: - 12mo migration - <4hr downtime - 20 Java/MySQL devs, 5 ops - $2M budget QUESTION: To meet the CFO's requirement of reducing costs by 40%, which pricing strategy should you apply to the baseline, predictable compute workloads?

A startup is running a stateless web application on Compute Engine. The traffic is highly unpredictable, with sudden spikes and long periods of low usage. They want to minimize compute costs but cannot commit to a 1-year or 3-year contract because their architecture might change next month. Which cost optimization strategy is most appropriate?

A media company serves terabytes of video content globally. They are currently hosting the videos in a Cloud Storage bucket in the `us-east1` region. Users in Asia are experiencing high latency, and the company's monthly network egress costs are exorbitant. How should you optimize this architecture?

CASE STUDY: TechStream Gaming Company Overview: TechStream Gaming is a global multiplayer game developer with 500 employees and $100M annual revenue. They recently launched a hit mobile game that is growing rapidly. Current Technical Environment: - On-premises data centers in US and EU. - 200 bare-metal servers running Linux. - Self-managed MySQL databases (5 TB total) for player profiles and inventory. - Peak concurrent users: 2 million. - Current monthly infrastructure cost: $150K. Business Requirements: - Reduce infrastructure costs by 40%. - Support 5x user growth over 2 years. - Launch in 3 new regions (APAC, SA, Africa). - Improve deployment speed from 1 week to daily. Executive Statements: - CEO: "We need to scale rapidly to compete. Cloud migration is critical." - CFO: "Cost reduction is paramount. We cannot exceed $100K/month. ROI must be achieved in 18 months." - CTO: "Our team has limited cloud experience. Reliability is non-negotiable - 99.95% uptime minimum." Technical Requirements: - Sub-100ms latency for players globally. - Real-time analytics on player behavior. - Seasonal traffic spikes (5x during holidays). - CI/CD pipeline for daily deployments. Constraints: - Migration must complete in 12 months. - Cannot exceed 4-hour downtime during cutover. - Dev team: 20 engineers (Java, MySQL). - Ops team: 5 engineers (limited cloud experience). QUESTION: To meet the CFO's cost reduction requirements, which pricing strategy should you implement for the game server compute resources?

CASE STUDY: AutoMakers Inc Company Overview: AutoMakers Inc is a leading vehicle manufacturer transitioning to connected and autonomous vehicles. They need a platform to ingest, process, and analyze telemetry data from millions of cars. Current Technical Environment: - Legacy MQTT brokers on-premises. - Hadoop cluster for batch processing (nightly runs). - 100,000 connected cars sending 1 KB of data every minute. - On-premises data warehouse reaching capacity. Business Requirements: - Support 5 million connected cars within 3 years. - Enable real-time alerting for critical vehicle faults. - Provide predictive maintenance insights to customers. - Monetize anonymized traffic data. Executive Statements: - CEO: "Data is our new engine. We need real-time insights to improve safety." - CFO: "The platform must scale cost-effectively. We only want to pay for what we use." - CTO: "We need a fully managed serverless data pipeline to minimize operational overhead." Technical Requirements: - Ingest up to 1 million messages per second with low latency. - Process data in real-time for anomaly detection. - Store raw telemetry data indefinitely for machine learning model training. - Provide a scalable data warehouse for business intelligence analysts. Constraints: - Strict data privacy regulations (GDPR) require masking of PII. - Limited data engineering staff; prefer managed services. - Must integrate with existing on-premises identity provider (Active Directory). QUESTION: To provide a scalable data warehouse for business intelligence analysts, how should you configure BigQuery to optimize query performance and costs for time-series telemetry data?

A large enterprise uses a single Shared VPC across 100 different projects. The finance team needs to implement a strict chargeback model to bill individual departments for their specific network egress costs and Compute Engine usage. What is the most reliable way to allocate these costs?

Your data analytics team uses BigQuery extensively. The CFO has noticed that BigQuery costs have tripled in the last two months. Upon investigation, you find that analysts are running `SELECT *` queries on massive, multi-terabyte tables. Which TWO actions should you take to optimize costs without stopping the analysts from doing their work? (Select TWO)