Domain 5: Managing Implementation and Ensuring Solution and Operations Reliability

CASE STUDY: TechStream Gaming. 500 emp, $100M rev. On-prem US/EU, 200 servers, MySQL 5TB. 2M peak users. $100K/mo cost. Req: Cut cost 40%, 5x growth, 3 new regions, daily deploys. CEO: Scale fast. CFO: <$100K/mo, 18mo ROI. CTO: Low cloud skills, 99.95% uptime. Tech: <100ms latency, real-time analytics, 5x spikes, EU data residency, DDoS protection, CI/CD. Constraints: 12mo migration, 4hr downtime, 20 devs (Java/MySQL), 5 ops (no cloud), $2M budget. How should you address the CFO's requirement to reduce costs by 40% for the steady-state baseline compute resources?

CASE STUDY: ShopGlobal. Global e-commerce. Monolithic Java on VMware. Oracle RAC (20TB). 10x Black Friday traffic. Req: Microservices, 100% uptime during holidays, personalized recommendations. CEO: Flawless omnichannel. CFO: Predictable spend. CTO: No vendor lock-in, open-source. Tech: Containerize, Global LB, PCI-DSS, async orders, real-time inventory. Constraints: Keep Oracle on-prem for 2 yrs (licensing), low K8s skills, strict security reviews. To route traffic globally to the closest healthy GKE cluster and offload SSL, which load balancer should you configure?

CASE STUDY: AutoMakers Inc. 1M connected cars, 100GB/day telemetry. Req: Predictive maintenance, real-time driver dashboard, monetize data. CEO: Data is new engine. CFO: Cut 3rd-party IoT costs. CTO: Highly scalable ingest. Tech: MQTT ingest, stream processing, ML models, 7-yr cold storage, handle intermittent connectivity. Constraints: Anonymize data, low vehicle compute, strict analytics budget. How should you handle the intermittent connectivity of vehicles to ensure no telemetry data is lost when they reconnect?

CASE STUDY: HealthSecure. 50M patient records. Legacy mainframe, on-prem SAN (100TB), .NET portal. Req: Modernize portal, secure hospital sharing, fast audits. CEO: Modern UX. CFO: Automate audits. CISO: Zero breaches. Tech: HIPAA, CMEK, audit logging, API gateway, DR (1h RPO/4h RTO). Constraints: No public DB IPs, Dev/Ops separation, US data only, mainframe stays on-prem via VPN. How should you configure the database network to meet the constraint of 'No public DB IPs' while allowing the modernized portal to access it?

You want to measure the latency of a user's journey from clicking 'Checkout' to receiving an order confirmation. Which Service Level Indicator (SLI) type is most appropriate?

Your finance team needs to allocate GCP costs to specific cost centers (e.g., Marketing, R&D) across multiple shared projects. How should you configure resources to enable this chargeback model?

Which TWO workloads are ideal candidates for running on Spot VMs (Preemptible VMs) to optimize costs? (Select TWO)

Your company is experiencing high network egress costs. Which TWO strategies should you implement to reduce these costs? (Select TWO)

An enterprise wants to establish a robust FinOps culture. They need to visualize spend, allocate costs to teams, and enforce budget limits. Which THREE actions should they take? (Select THREE)

CASE STUDY: RetailMart Overview: Global e-commerce, 5,000 employees. Legacy monolith on VMware, 20TB Oracle DB on-prem. Business: Modernize to microservices, 100% uptime during Black Friday (10x traffic), real-time inventory sync, exit data center in 2 years. Executives: - CEO: "Innovate faster to beat online-only competitors." - CFO: "End hardware CAPEX. Move to pure OPEX." - CTO: "Break monolith safely. Zero downtime during transition." Tech: Migrate off Oracle to open-source, containerize, secure hybrid connectivity during transition, automated scaling. Constraints: Zero downtime for storefront, heavy reliance on Oracle stored procedures, all hybrid traffic must be private/encrypted. How should you optimize compute costs while ensuring the platform can handle Black Friday traffic spikes?

CASE STUDY: AutoIoT Overview: Connected car manufacturer. 1M vehicles sending telemetry every 5 seconds. Business: Predictive maintenance alerts, real-time fleet tracking, monetize anonymized data. Executives: - CEO: "Leverage AI to predict failures." - CTO: "Current MQTT brokers crashing. Need fully managed, scalable ingestion." - DPO: "Vehicle location is sensitive. Strip PII before analytics." Tech: Ingest millions of msgs/sec, real-time stream processing for anomalies, store raw data for ML, sub-second queries for dashboards. Constraints: Vehicles lose connection and send late batch data. ML models updated weekly. Strict analytics budget. To meet the CEO's requirement for predictive maintenance, how should you orchestrate the weekly ML model training pipeline?

You are managing a data warehouse in BigQuery. The marketing team runs complex analytical queries at the end of every month, while the sales team runs simple, frequent queries daily. The CFO is concerned about the unpredictable costs of BigQuery. How should you optimize the costs?

A media company serves large video files to users globally. They currently host the videos in a multi-region Cloud Storage bucket. Users in Asia are complaining about slow download speeds, and the CFO is complaining about high network egress costs. Which solution addresses both issues?

Your development team wants to deploy a new containerized application. The application is stateless, event-driven, and experiences unpredictable traffic spikes (including scaling to zero). The team has no experience managing Kubernetes and wants the lowest possible operational overhead. Which compute service should you recommend?

You are designing a disaster recovery strategy for a mission-critical application. The business requires an RTO (Recovery Time Objective) of 5 minutes and an RPO (Recovery Point Objective) of 0 (zero data loss). Which architecture meets these requirements?

Your company is running a large Hadoop cluster on-premises and wants to migrate to Google Cloud. The workloads consist of ephemeral Spark jobs that run for 2 hours every night to process logs. Cost optimization is a primary concern. Which TWO GCP services/features should you use? (Select TWO)

You are advising a development team on how to optimize their Cloud Storage costs. They have a bucket containing millions of user-uploaded documents. Documents are accessed frequently for the first 30 days, occasionally between 30 and 90 days, and almost never after 90 days, but must be kept for 7 years for compliance. Which TWO actions should you take? (Select TWO)

Your organization is adopting a multi-cloud strategy using Google Cloud and AWS. The CTO wants a unified way to manage Kubernetes clusters across both clouds, enforce consistent security policies, and monitor services from a single pane of glass. Which THREE Google Cloud technologies should you recommend? (Select THREE)